Alternatives to Fido
Compare Fido alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Fido in 2026. Compare features, ratings, user reviews, pricing, and more from Fido competitors and alternatives in order to make an informed decision for your business.
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1
RoboCell
Intelitek
RoboCell integrates ScorBase's robotic control software with interactive 3D solid modeling simulation, accurately replicating the dimensions and functions of Intelitek robotic equipment. This integration allows students to teach positions, write programs, and debug robotic applications offline before executing them in an actual work cell. RoboCell enables experimentation with various simulated work cells, even if the physical setups are unavailable in the lab. Advanced users can design 3D objects and import them into RoboCell for use in virtual work cells. The software operates in three modes: Online mode for controlling the robotic cell, Simulation mode for managing the virtual robotic cell in a 3D display, and offline mode for verifying ScorBase programs. Key features include dynamic 3D simulation with tracking of robots and devices, simulation of robot movements and gripper part manipulation, and support for peripheral axes like conveyor belts, XY tables, rotary tables, etc. -
2
RoboDK
RoboDK
RoboDK is a powerful and cost-effective simulator for industrial robots and robot programming. RoboDK simulation software allows you to get the most out of your robot. No programming skills are required with RoboDK's intuitive interface. You can easily program any robot offline with just a few clicks. RoboDK has an extensive library with over 500 robot arms. The advantage of using RoboDK's simulation and offline programming tools is that it allows you to program robots outside the production environment. With RoboDK you can program robots directly from your computer and eliminate production downtime caused by shop floor programming. Use your robot arm like a 5-axis milling machine (CNC) or a 3D printer. Simulate and convert NC programs to robot programs (G-code or APT-CLS files). RoboDK will automatically optimize the robot path, avoiding singularities, axis limits and collisions. Simulation and Offline Programming of industrial robots has never been easier.Starting Price: €145 -
3
AWS RoboMaker
Amazon
AWS RoboMaker is a cloud-based simulation service that enables robotics developers to run, scale, and automate simulations without managing any infrastructure. It allows for cost-effective scaling and automation of simulation workloads, supports large-scale and parallel simulations with a single API call, and facilitates the creation of user-defined, randomized 3D virtual environments. Developers can perform automated regression testing within a continuous integration and continuous delivery pipelines, train reinforcement learning models through extensive iterative trials, and connect multiple concurrent simulations to fleet management software for comprehensive testing. By integrating with AWS machine learning, monitoring, and analytics services, AWS RoboMaker enables robots to stream data, navigate, communicate, comprehend, and learn. Connect multiple concurrent simulations to your fleet management software for testing. -
4
Fuzzy Studio
Fuzzy Logic Robotics
Visual no-code robot programming and simulation. Designed for people who are not robotics experts. Compatible with all major robot brands (ABB, FANUC, KUKA, Staübli, Universal Robot & Yaskawa). Enables both offline and online robotic programming. Program any robot - no coding skills necessary. There is no need to learn or understand programming to use a robot. With our no-code user interface, visually interact with the 3D simulated environment and the robot programs are automatically generated for you. Get up and running right away without wasting time on details. Figure out how robotics can work for you with step-by-step application tutorials and our clear user interface. Design and simulate your robotic workcell. Design, simulate and modify an entire robotic process in just a few clicks. In Fuzzy Studio, anyone can layout, test, and reconfigure their robotic workcell. -
5
MotoSim
Yaskawa Motoman
Yaskawa Motoman's MotoSim EG-VRC (Enhanced Graphics Virtual Robot Controller) is a sophisticated offline programming and 3D simulation software tailored for the precise programming of complex robotic systems. It enables users to construct and simulate robotic work cells virtually, eliminating the need for physical robots during the development phase. Key features include optimizing robot and equipment placement, reach modeling, accurate cycle time calculations, automatic path generation, collision detection, system configuration, condition file editing, and Functional Safety Unit (FSU) configuration. The software incorporates a virtual robot controller, providing a programming pendant interface identical to the actual controller, ensuring a seamless transition from simulation to real-world application. Additionally, MotoSim EG-VRC offers access to an extensive model library, allowing users to download a broad range of third-party models to enhance their simulations. -
6
Webots
Cyberbotics
Cyberbotics' Webots is an open source, multi-platform desktop application designed for modeling, programming, and simulating robots. It offers a comprehensive development environment that includes a vast asset library with robots, sensors, actuators, objects, and materials, facilitating rapid prototyping and efficient robotics project development. Users can import existing CAD models from tools like Blender or URDF and integrate OpenStreetMap data to create detailed simulations. Webots supports programming in multiple languages, including C, C++, Python, Java, MATLAB, and ROS, providing flexibility for diverse development needs. Its modern GUI, combined with a physics engine and OpenGL rendering, enables realistic simulation of various robotic systems, such as wheeled robots, industrial arms, legged robots, drones, and autonomous vehicles. The platform is widely utilized in industry, education, and research for tasks like robot prototyping, and AI algorithm development.Starting Price: Free -
7
HAL Robotics
HAL Robotics
HAL Robotics offers a versatile robot programming and simulation software platform designed to automate complex, variable tasks across diverse industries. Their flagship product, DECODE, is a no-code human-robot collaboration software that enables users without robotics or programming expertise to flexibly automate new and variable tasks. DECODE facilitates the creation of digital twins for robot cells, allowing for simulation and validation of machine behavior through an intuitive drag-and-drop interface. It supports over 1,000 robot presets and more than 40 CAD formats, streamlining the process of building accurate virtual models. The platform provides customizable toolpath generators, enabling quick and easy programming of robots by combining robot actions with a library of parametric toolpath generators. This approach ensures error-free robot tasks by utilizing native robot functions. -
8
PyBullet
PyBullet
PyBullet is a Python module for physics simulation, robotics, and deep reinforcement learning, built on the Bullet Physics SDK. It supports loading articulated bodies from URDF, SDF, and other formats, providing forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. PyBullet offers rendering capabilities, including a CPU renderer and OpenGL visualization, with support for virtual reality headsets. It is utilized in various research projects, such as Assistive Gym, which leverages PyBullet for physical human-robot interaction and assistive robotics, supporting collaborative robots and physically assistive tasks. Another project, Kubric, is an open source Python framework interfacing with PyBullet and Blender to generate photo-realistic scenes with rich annotations, scaling to large jobs distributed over thousands of machines. -
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Gazebo
Gazebo
Gazebo is an open source robotics simulator that provides high-fidelity physics, rendering, and sensor models for developing and testing robot applications. It supports multiple physics engines, including ODE, Bullet, and Simbody, enabling accurate dynamics simulation. Gazebo offers advanced 3D graphics through rendering engines like OGRE v2, delivering realistic environments with high-quality lighting, shadows, and textures. It includes a wide array of sensors, such as laser range finders, 2D/3D cameras, IMUs, GPS, and more, with the ability to simulate sensor noise. Users can develop custom plugins for robot, sensor, and environment control, and interact with simulations via a plugin-based graphical interface powered by Gazebo GUI. Gazebo provides access to numerous robot models, including PR2, Pioneer2 DX, iRobot Create, and TurtleBot, and allows users to build new models using SDF.Starting Price: Free -
10
Robotmaster
Robotmaster
Robotmaster is an offline programming software for industrial robots that seamlessly integrates cell layout and planning, CAD-to-path programming, program optimization, simulation, and code generation. It supports multiple robot brands, configurations, and applications, allowing for seamless integration and output of code for real-world cell applications. The software enables users to program high-mix, low-volume production, automate complex shape processes, and increase efficiency while lowering costs. Key features include a simplified user experience for quick learning, automatic detection and avoidance of robot errors, optimization of robot programs to reduce cycle time, and management of complex cells with multiple robots and external devices. Robotmaster also facilitates the validation of robotic processes through simulation, ensuring that programs are accurate and efficient before implementation. -
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Visual Components
Visual Components
Visual Components offers comprehensive Robot Offline Programming (OLP) software designed to streamline and expedite the programming of industrial robots across various brands and applications. The platform enables users to create, simulate, and validate robot programs in a virtual environment, significantly reducing the need for physical prototypes and minimizing production downtime. Key features include automated path solving to detect and resolve collision and reachability issues, realistic simulation capabilities with detailed visual graphics, and universal compatibility with over 18 post-processors and 40+ robot controllers, supporting diverse tasks such as welding, processing, spraying, jigless assembly, and part handling. The software's user-friendly interface allows for quick learning and efficient programming, even for complex layouts involving multiple robots and robotic assembly operations. -
12
RobotExpert
Siemens
Siemens' RobotExpert is a user-friendly, 3D robot simulation and offline programming software designed to optimize robotic operations across various industries. It enables the design and simulation of complete workcells in a virtual environment, allowing for the optimization of robot paths and validation of manufacturing processes without disrupting actual production. Key features include intuitive simulation tools, accurate cycle time analysis, collision detection, and support for multiple robot brands and configurations. RobotExpert facilitates seamless integration with existing manufacturing systems, enhancing productivity and reducing time-to-market. Its flexibility makes it suitable for applications such as arc welding, assembly, painting, and material handling. By providing a platform for virtual commissioning, RobotExpert helps in identifying and resolving potential issues early in the design phase, thereby minimizing costly errors and downtime. -
13
CoppeliaSim
Coppelia Robotics
CoppeliaSim, developed by Coppelia Robotics, is a versatile and powerful robot simulation platform utilized for rapid algorithm development, factory automation simulations, fast prototyping and verification, robotics education, remote monitoring, safety double-checking, and digital twin creation. It features a distributed control architecture, allowing each object or model to be individually controlled via embedded scripts (Python or Lua), plugins (C/C++), remote API clients (Python, Lua, Java, MATLAB, Octave, C, C++, Rust), or custom solutions. The simulator supports five physics engines, MuJoCo, Bullet Physics, ODE, Newton, and Vortex Dynamics, for fast and customizable dynamics calculations, enabling realistic simulation of real-world physics and object interactions, including collision response, grasping, soft bodies, strings, ropes, and cloths. CoppeliaSim provides forward and inverse kinematics calculations for any type of mechanism.Starting Price: $2,380 per year -
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ENCY Robot
ENCY Software
ENCY Robot is a complete offline programming (CAD/CAM/OLP) solution for industrial robots. It offers precision toolpath calculation, digital twin creation, and advanced kinematic management for a wide variety of robotic processes, including milling, welding, painting, additive manufacturing, and pick-and-place operations. Highlight: - A true all-in-one package: design, technology setup, toolpath calculation and simulation - Support for robots with any kinematics - Robot kinematics optimization for singularity avoidance and collision free movements - Zero-code digital twin builder for robotic cells - Pre-defined postprocessors and high-quality 3D models of robots from top brands With ENCY Robot, users can safely and effectively design, simulate, and refine robotic operations, maximizing productivity and reducing manual intervention in complex production environments. -
15
OCTOPUZ
OCTOPUZ
OCTOPUZ is an intelligent offline robot programming software that enables path-sensitive, complex robot applications to be programmed without disrupting your manufacturing process and without the need for an onsite robot programming expert. By programming robot functions in a virtual, offline environment, OCTOPUZ eliminates the need to take robots off production, thereby enhancing productivity and profitability. The software supports multiple robot brands, configurations, and applications, allowing for seamless integration and output of code for real-world cell applications. Key features include a simplified user experience for quick learning, automatic detection and avoidance of robot errors, optimization of robot programs to reduce cycle time, and management of complex cells with multiple robots and external devices. OCTOPUZ also facilitates the validation of robotic processes through simulation, ensuring that programs are accurate and efficient before implementation. -
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RobotStudio
ABB
RobotStudio is the world’s most popular offline programming and simulation tool for robotic applications. Based on the best-in-class virtual controller technology, the RobotStudio suite gives you full confidence that what you see on your screen matches how the robot will move in real life. Enabling you to build, test, and refine your robot installation in a virtual environment, this unique technology speeds up commissioning time and productivity by a magnitude. The RobotStudio desktop version allows you to carry out programming and simulation without disturbing ongoing production. RobotStudio cloud enables individuals and teams to collaborate in real-time on robot cell designs from anywhere in the world, on any device. The RobotStudio Augmented Reality Viewer enables you to visualize robots and solutions in a real environment or in a virtual room on any mobile device for free. Both the desktop and mobile applications enable teams to collaborate and make faster decisions. -
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DELMIA Robotics
Dassault Systèmes
DELMIA Robotics software validates production systems and robot programming within a 3D collaborative environment. The software seamlessly integrates with CAD solutions, reflecting adjustments in real time, leading to a streamlined workflow, minimized errors, and reduced time-to-market. Define robotic work cells, program and optimize robots, and simulate the manufacturing environment and product flow virtually, eliminating the need for deployment of physical resources. This feature facilitates offline robot programming without disrupting production while providing accurate virtual validation using digital twin technology to save time and cost. It allows manufacturers to ramp up their systems with confidence the robots will perform as expected while keeping production downtimes as short as possible. Create, simulate, and validate tooling and equipment. Design your work cell by importing parametric objects from the catalog or by creating your own and adapting them. -
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ROBOGUIDE
FANUC
FANUC's ROBOGUIDE is a leading offline programming and simulation software for FANUC robots, enabling users to create, program, and simulate robotic work cells in a 3D environment without the need for physical prototypes. This software family includes process-focused packages such as HandlingPRO, PaintPRO, PalletPRO, and WeldPRO, each tailored to specific applications like material handling, painting, palletizing, and welding. By utilizing virtual robots and work cell models, ROBOGUIDE minimizes risks and costs by allowing visualization and optimization of single and multi-robot work cell layouts before actual installation. This approach facilitates accurate cycle time calculations, reachability checks, and collision detection, ensuring the feasibility and efficiency of robot programs and cell layouts. Additionally, ROBOGUIDE supports CAD-to-path programming, conveyor line tracking, and machine modeling, enhancing the precision and flexibility of robotic operations. -
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E-Hub NDI
Applied Computing & Engineering
e-hub NDI is the acronym of Engineering hub for Non-Destructive Inspection. The software is a flexible platform for a variety of manufacturing inspection needs. Design & Simulate in software, then generate the program for the robot controller. e-hub NDI is an offline simulation and programming software for robotic non-destructive testing. The sensor performing the inspection may or may not be in contact with the part to be inspected. -
20
RobotWorks
SOLIDWORKS
RobotWorks is a CNC-style program for off-line programming of industrial robots. It is an add-in to SOLIDWORKS, acting upon CAD objects (faces, edges, etc.) within an assembly. Creation parts, tools, fixtures, work-cell parts, and a robot path inside one interactive environment. Automatic path generation along CAD features (faces, curves, and more) Simulating robot and tool motion, collision detection, external axes, robot joint limits, and more. Handles offsets, user frames, and motion in several coordinate systems. Imports points from CNC programs and other formats and make them robot programs. Translates and writes robot programs in most industrial robots formats Affordable PC solution for the end user, simple and intuitive, and has a very short learning curve Among its many features, RobotWorks can generate without effort a path for "Carry Part," in which the part is manipulated against a fixed tool. -
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FASTSUITE
Cenit
FASTSUITE Edition 2 is a comprehensive software solution that enables the simulation and programming of industrial robots and machines within a 3D virtual environment. Facilitating offline programming, allows manufacturers to create, simulate, and analyze various manufacturing processes without interrupting actual production. This approach maximizes productivity by minimizing downtime of expensive production equipment and human resources. The software supports a wide range of manufacturing technologies, including arc welding, laser cutting, painting, spraying, and coating. It offers technology-specific packages that provide optimized strategies and methodologies tailored to each process, ensuring consistently high program quality regardless of the robot type used or the programming experience of the user. As a manufacturer-independent platform, FASTSUITE provides interfaces to all common robot and system manufacturers. -
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KUKA.Sim
KUKA
KUKA.Sim is an intelligent simulation software designed for efficient offline programming of KUKA robots, enabling users to optimize system and robot operations outside the production environment swiftly and effortlessly. The software facilitates the creation of digital twins, providing an identical representation of subsequent production processes. This 3D simulation encompasses the entire planning process, from process design and visualization of material flows to identifying bottlenecks and generating PLC code. KUKA.Sim ensures 100% data consistency, allowing both virtual and real controllers to operate with identical data, thereby laying the groundwork for virtual commissioning. This approach enables pre-testing and optimization of new production lines, offering significant time savings by allowing rapid and individualized planning of system and robot concepts without the necessity of physical construction.Starting Price: Free -
23
AForge.NET
AForge.NET
AForge.NET is an open source C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, fuzzy logic, machine learning, robotics, etc. The work on the framework's improvement is in constants progress, what means that new feature and namespaces are coming constantly. To get knowledge about its progress you may track source repository's log or visit project discussion group to get the latest information about it. The framework is provided not only with different libraries and their sources, but with many sample applications, which demonstrate the use of this framework, and with documentation help files, which are provided in HTML Help format. -
24
Apera AI
Apera AI
Forge Lab makes AI training and simulation for vision-guided robotics fast and accessible. Manufacturing engineers can receive ready vision programs and test their automation strategies. AI-powered vision can drive huge improvements in reliability and product quality. This includes new cells or retrofitting existing cells and manual processes. Vision driven by AI makes robotic cells more reliable and productive. You can now use vision-guided robotics with less expertise and risk. Vue software can change robotic guidance, bin picking, assembly and more in your facilities. The AI learns to understand your parts completely, so the robot can take the fastest, safest, most reliable path in and out of movements to handle the parts. Vue understands how to avoid collisions within the operating area, even with the object in hand. Since the AI also understands how the object has been picked up, it can precisely and accurately place it, or assemble it with another object. -
25
RoboSim
RoboSim
RoboSim is an educational platform designed to democratize robot programming education within IT classes. It enables students to construct and program virtual robots cost-effectively, making robotics accessible to a broader audience. By providing a simulated environment, RoboSim allows learners to engage with robotics concepts without the need for expensive hardware, fostering hands-on experience in programming and problem-solving. This approach not only enhances understanding of robotics but also integrates seamlessly into existing curricula, promoting STEM education and preparing students for future technological endeavors. Provide professional multi-version customization services and the personal experience version can be converted and upgraded to the professional version. There is also a campus version, which can be customized immediately according to the needs of the regional/school scale. Unlock the new RoboSim with a low price and high experience.Starting Price: $0.079 per month -
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RoSi
Robotec.ai
RoSi is an end-to-end digital twin simulation platform that accelerates the development, training, and testing of robotics and automation systems, utilizing Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) simulations and generating synthetic datasets. It is applied to both classic and AI-powered technologies. RoSi is offered as a SaaS or on-premise software product. Key benefits include support for multiple robots and systems, realistic real-time simulation, unmatched performance and cloud scalability, open and interoperable standards (ROS 2, O3DE), and AI integrations for synthetic datasets and embodied AI. RoSi for Mining is designed to meet the needs of modern mining. It is utilized by mining companies, providers of mining technologies, and OEMs working within the mining industry. RoSi mining harnesses the power of optimized digital twin simulation technologies and scalable architecture to develop, validate, and test mining systems with unmatched efficiency and accuracy. -
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SCAPE CoCreator
SCAPE Technologies
SCAPE CoCreator is a no-code robotic automation platform that empowers users to build, simulate, and deploy robotic workflows without programming expertise. It seamlessly integrates hardware and software within a user-friendly environment, enabling the creation of robotic applications powered by 3D vision and AI. Users can test and validate solutions in a digital twin environment and on actual hardware, significantly reducing development time and costs, up to 95% compared to traditional methods. It supports effortless integration with 3D scanners conforming to the GenICam standard, ensuring smooth communication and operation. With support for Python and C++, CoCreator allows for the development of custom solutions tailored to specific tasks. Its intuitive interface enables users to create robotic applications without any coding, making it accessible to users of all skill levels.Starting Price: Free -
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SHARK
SHARK
SHARK is a fast, modular, feature-rich open-source C++ machine learning library. It provides methods for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques. It serves as a powerful toolbox for real-world applications as well as research. Shark depends on Boost and CMake. It is compatible with Windows, Solaris, MacOS X, and Linux. Shark is licensed under the permissive GNU Lesser General Public License. Shark provides an excellent trade-off between flexibility and ease-of-use on the one hand, and computational efficiency on the other. Shark offers numerous algorithms from various machine learning and computational intelligence domains in a way that they can be easily combined and extended. Shark comes with a lot of powerful algorithms that are to our best knowledge not implemented in any other library. -
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TFLearn
TFLearn
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorial and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, metrics. Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations and more. The high-level API currently supports most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, Generative networks. -
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Torch
Torch
Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. Torch comes with a large ecosystem of community-driven packages in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Lua community. At the heart of Torch are the popular neural network and optimization libraries which are simple to use, while having maximum flexibility in implementing complex neural network topologies. You can build arbitrary graphs of neural networks, and parallelize them over CPUs and GPUs in an efficient manner. -
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Neuri
Neuri
We conduct and implement cutting-edge research on artificial intelligence to create real advantage in financial investment. Illuminating the financial market with ground-breaking neuro-prediction. We combine novel deep reinforcement learning algorithms and graph-based learning with artificial neural networks for modeling and predicting time series. Neuri strives to generate synthetic data emulating the global financial markets, testing it with complex simulations of trading behavior. We bet on the future of quantum optimization in enabling our simulations to surpass the limits of classical supercomputing. Financial markets are highly fluid, with dynamics evolving over time. As such we build AI algorithms that adapt and learn continuously, in order to uncover the connections between different financial assets, classes and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored. -
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Cognata
Cognata
Cognata delivers full product lifecycle simulation for ADAS and autonomous vehicle developers. Automatically-generated 3D environments and realistic AI-driven traffic agents for AV simulation. Autonomous vehicles ready-to-use scenario library and simple authoring to create millions of AV edge cases. Closed-loop testing with painless integration. Configurable rules and visualization for autonomous simulation. Measured and tracked performance. Digital twin grade 3D environments of roads, buildings, and infrastructure that are accurate down to the last lane marking, surface material, and traffic light. A global, cost-effective, and efficient architecture built for the cloud from the beginning. Closed-loop simulation or integration with your CI/CD environment are a few clicks away. Enables engineers to easily combine control, fusion, and vehicle models with Cognata’s environment, scenario, and sensor modeling capabilities. -
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Neural Designer
Artelnics
Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks without requiring extensive programming knowledge. With a wide range of features and algorithms, Neural Designer simplifies the entire machine learning workflow, from data preprocessing to model optimization. In addition, it supports various data types, including numerical, categorical, and text, making it versatile for domains. Additionally, Neural Designer offers automatic model selection and hyperparameter optimization, enabling users to find the best model for their data with minimal effort. Finally, its intuitive visualizations and comprehensive reports facilitate interpreting and understanding the model's performance.Starting Price: $2495/year (per user) -
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Supervisely
Supervisely
The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy integration into your technology stack. A turnkey solution for Computer Vision: multi-format data annotation & management, quality control at scale and neural networks training in end-to-end platform. Inspired by professional video editing software, created by data scientists for data scientists — the most powerful video labeling tool for machine learning and more. -
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Microsoft Cognitive Toolkit
Microsoft
The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. CNTK can be included as a library in your Python, C#, or C++ programs, or used as a standalone machine-learning tool through its own model description language (BrainScript). In addition you can use the CNTK model evaluation functionality from your Java programs. CNTK supports 64-bit Linux or 64-bit Windows operating systems. To install you can either choose pre-compiled binary packages, or compile the toolkit from the source provided in GitHub. -
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Accord.NET Framework
Accord.NET Framework
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and an extensive documentation and wiki helps fill in the details. -
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SprutCAM X
SprutCAM Tech
SprutCAM X is CAD/CAM software featuring a streamlined workflow and comprehensive functionality. Compatible with any CNC machine: 3/4 and 5 axis Mill, Lathe, Mill-turn, Swiss, MTM, EDM. Toolpath calculation is performed taking into account full machine kinematics and limitations including collision avoidance and axis limits control. A single environment for the offline programming (OLP) of industrial robots. An efficient robot machining solution for the rapid creation of complex collision-free 3D movements in native 6 or more axes code (5 to 6 axis transformations are not required). The SprutCAM team has been working on CAM software development since 1987. During this long period we have gained extensive experience and expertise in computer-aided manufacturing. Our team consists of experts and practitioners in the technologies required to power the tools to make CNC programming easier, faster, and more effective for our customers. -
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NVIDIA Modulus
NVIDIA
NVIDIA Modulus is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. Offers building blocks for developing physics machine learning surrogate models that combine both physics and data. The framework is generalizable to different domains and use cases—from engineering simulations to life sciences and from forward simulations to inverse/data assimilation problems. Provides parameterized system representation that solves for multiple scenarios in near real time, letting you train once offline to infer in real time repeatedly. -
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MORAI
MORAI
MORAI offers a digital twin simulation platform that accelerates the development and testing of autonomous vehicles, urban air mobility, and maritime autonomous surface ships. Built with high-definition maps and a powerful physics engine, it bridges the gap between real-world and simulation test environments, providing all key elements for verifying autonomous systems, including autonomous driving, unmanned aerial vehicles, and unmanned ship systems. It provides a variety of sensor models, including cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users can generate complex and diverse test scenarios from real-world data, including log-based scenarios and edge case scenarios. MORAI's cloud simulation allows for safe, cost-effective, and scalable testing, enabling multiple simulations to run concurrently and evaluate different scenarios in parallel. -
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StrongKey
StrongKey
StrongKey has been in the PKI business for almost 20 years, with implementations across the globe in a diverse range of applications. StrongKey Tellaro provides a full public key infrastructure (PKI) platform for managing keys and digital certificates. With a built-in hardware security module (HSM) and EJBCA server, customers are able to issue digital certificates with our Tellaro E-Series based on securely generated public keys. Private keys are generated and stored within the HSM. Our PKI management solution integrates with TLS/SSL, identity access management (IAM), digital signature, secrets management, and device management systems. StrongKey Tellaro is a comprehensive software suite that provides strong authentication, encryption, tokenization, PKI management, and digital signature management. Our open-source software includes a FIDO® Certified FIDO2 server, and we support flexible data center and cloud deployment models. -
41
FortiToken
Fortinet
ForiTokens help deliver strong and flexible multi-factor authentication. FortiToken helps prevent breaches that occur due to compromised user accounts and passwords by increasing the certainty of the identity of users attempting to access resources. To achieve multi-factor authentication (MFA), FortiToken integrates with FortiAuthenticator and FortiGate Next-Generation Firewalls and is part of the Fortinet Identity and Access Management (IAM) solution. FortiToken allows organizations to deploy a variety of token methods including one-time passwords, SMS tokens, and adaptive authentication. For even greater security, FortiToken lets you provide passwordless authentication for users based on FIDO and FIDO2 specifications. -
42
PyTorch
PyTorch
Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies. -
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Lucky Robots
Lucky Robots
Lucky Robots is a robotics-focused simulation platform that lets teams train, test, and refine AI models for robots entirely in high-fidelity virtual environments that mimic real-world physics, sensors, and interactions, enabling massive generation of synthetic training data and rapid iteration without physical robots or costly lab setups. It uses hyper-realistic scenes (e.g., kitchens, terrain) built on advanced simulation tech to create varied edge cases, generate millions of labeled episodes for scalable model learning, and accelerate development while reducing cost and safety risk. It supports natural language control in simulated scenarios, lets users bring their own robot models or choose from commercially available ones, and includes tools for collaboration, environment sharing, and training workflows via LuckyHub, helping developers push models toward real-world performance more efficiently.Starting Price: Free -
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Alchemite
Intellegens
Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc. -
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Build your deep learning project quickly on Google Cloud: Quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications with Deep Learning Containers. These Docker images use popular frameworks and are performance optimized, compatibility tested, and ready to deploy. Deep Learning Containers provide a consistent environment across Google Cloud services, making it easy to scale in the cloud or shift from on-premises. You have the flexibility to deploy on Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm.
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ConvNetJS
ConvNetJS
ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a plug-and-play way if you don't care about developing is through this link to convnet-min.js, which contains the minified library. Alternatively, you can also choose to download the latest release of the library from Github. The file you are probably most interested in is build/convnet-min.js, which contains the entire library. To use it, create a bare-bones index.html file in some folder and copy build/convnet-min.js to the same folder. -
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NVIDIA Isaac Lab
NVIDIA
NVIDIA Isaac Lab is a GPU‑accelerated, open source robot learning framework built on top of Isaac Sim, designed to unify and simplify robotics research workflows such as reinforcement learning, imitation learning, and motion planning. It leverages realistic sensor and physics simulation to support accurate training of embodied agents, providing ready‑to‑use environments, spanning manipulators, quadrupeds, and humanoids—with support for 30+ benchmark tasks and integration with popular RL libraries like RL Games, Stable Baselines, RSL RL, and SKRL. Isaac Lab features a modular, configuration‑driven design that enables developers to easily create, modify, and scale learning environments; it also supports collecting demonstrations via peripherals (gamepads, keyboards) and allows custom actuator models to facilitate sim‑to‑real transfer. The framework is built for both local and cloud deployment, accommodating flexible scaling of compute resources.Starting Price: Free -
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Automaton AI
Automaton AI
With Automaton AI’s ADVIT, create, manage and develop high-quality training data and DNN models all in one place. Optimize the data automatically and prepare it for each phase of the computer vision pipeline. Automate the data labeling processes and streamline data pipelines in-house. Manage the structured and unstructured video/image/text datasets in runtime and perform automatic functions that refine your data in preparation for each step of the deep learning pipeline. Upon accurate data labeling and QA, you can train your own model. DNN training needs hyperparameter tuning like batch size, learning, rate, etc. Optimize and transfer learning on trained models to increase accuracy. Post-training, take the model to production. ADVIT also does model versioning. Model development and accuracy parameters can be tracked in run-time. Increase the model accuracy with a pre-trained DNN model for auto-labeling. -
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Chainer
Chainer
A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes code intuitive and easy to debug. Comes with ChainerRLA, a library that implements various state-of-the-art deep reinforcement algorithms. Also, with ChainerCVA, a collection of tools to train and run neural networks for computer vision tasks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. -
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Neural Magic
Neural Magic
GPUs bring data in and out quickly, but have little locality of reference because of their small caches. They are geared towards applying a lot of compute to little data, not little compute to a lot of data. The networks designed to run on them therefore execute full layer after full layer in order to saturate their computational pipeline (see Figure 1 below). In order to deal with large models, given their small memory size (tens of gigabytes), GPUs are grouped together and models are distributed across them, creating a complex and painful software stack, complicated by the need to deal with many levels of communication and synchronization among separate machines. CPUs, on the other hand, have large, much faster caches than GPUs, and have an abundance of memory (terabytes). A typical CPU server can have memory equivalent to tens or even hundreds of GPUs. CPUs are perfect for a brain-like ML world in which parts of an extremely large network are executed piecemeal, as needed.
