Alternatives to MPCPy
Compare MPCPy alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to MPCPy in 2026. Compare features, ratings, user reviews, pricing, and more from MPCPy competitors and alternatives in order to make an informed decision for your business.
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1
Epicor Connected Process Control
Epicor Software
Epicor Connected Process Control (CPC), formerly eFlex Systems, provides manufacturers a flexible, no-code/low-code MES solution. No programming or special skills required. Digital work instructions, with multi-media capabilities, along with the ability to integrate virtually any device with communication capabilities, provides 100% historical record of the product and the process. Providing data insight, from production reports, to part history, quality summary and more — address issues quickly, minimize waste and disruptions. Whether you start small in subassembly areas, an entire line, or apply enterprise wide - we work with manufacturers of all sizes and needs. Hosted on prem or in the cloud, you decide what's best for your operations. -
2
DC-E DigitalClone for Engineering
Sentient Science Corporation
DigitalClone® for Engineering is the world's only gearbox reliability prediction solution integrating multiple scales of analysis in a single software package. In addition to modeling and analysis capabilities at the gearbox and gear/bearing levels, DC-E is the only solution available that models fatigue life based on detailed, physics-based models of the material microstructure (US Patent 10474772B2). DC-E enables construction of a gearbox digital twin with high value across all stages of the lifecycle of the physical asset - from design and manufacturing optimization to component supplier selection to failure root cause analysis to condition-based maintenance and to prognostics. This computational environment drives down the time and cost to bring new designs to the market and to sustain them over time.Starting Price: Upon request -
3
Cybernetica CENIT
Cybernetica
Cybernetica delivers Nonlinear Model Predictive Control (NMPC) based on mechanistic models. Our software product, Cybernetica CENIT, offers a flexible architecture that can meet any industrial challenge with optimal solutions. Multivariable optimal control, predictive control, intelligent feed forward, optimal constraint handling. Adaptive control through state and parameter estimation, and feedback from indirect measurements through the process model. Nonlinear models are valid over larger operating ranges. Improved control of nonlinear processes. Less need for step-response experiments and improved state and parameter estimates. Control of batch and semi-batch processes, control of nonlinear processes operated under varying conditions. Optimal grade transition in continuous processes. Safe control of exothermal processes and control of unmeasured variables, such as conversion rates and product quality. Reduced energy consumption and carbon footprint. -
4
Model Predictive Control Toolbox
MathWorks
Model Predictive Control Toolbox™ provides functions, an app, Simulink® blocks, and reference examples for developing model predictive control (MPC). For linear problems, the toolbox supports the design of implicit, explicit, adaptive, and gain-scheduled MPC. For nonlinear problems, you can implement single- and multi-stage nonlinear MPC. The toolbox provides deployable optimization solvers and also enables you to use a custom solver. You can evaluate controller performance in MATLAB® and Simulink by running closed-loop simulations. For automated driving, you can also use the provided MISRA C®- and ISO 26262-compliant blocks and examples to quickly get started with lane keep assist, path planning, path following, and adaptive cruise control applications. Design implicit, gain-scheduled, and adaptive MPC controllers that solve a quadratic programming (QP) problem. Generate an explicit MPC controller from an implicit design. Use discrete control set MPC for mixed-integer QP problems.Starting Price: $1,180 per year -
5
COLUMBO
PiControl Solutions
Closed-loop universal multivariable optimizer for Model Predictive Control (MPC) performance and Model Predictive Control (MPC) quality improvements. Use data in Excel files from DMC (Dynamic Matrix Control) from Aspen Tech, or from RMPCT (Robust Model Predictive Control Technology) from Honeywell, or Predict Pro from Emerson and use it to generate and improve correct models for the various MV-CV pairs. Amazing new optimization technology does not need step tests as required by Aspen tech, Honeywell, and others. It Works entirely in the time domain, is easy to use, compact, and practical. Model Predictive Controls (MPC) can have 10s or 100s of dynamic models. One or more could be wrong. Bad (wrong) Model Predictive Control (MPC) dynamic models produce a bias (model prediction error) between the predicted signal and the measured signal coming from the sensor. COLUMBO will help you to improve Model Predictive Control (MPC) models with either open-loop or completely closed-loop data. -
6
INCA MPC
Inca Tools
Advanced Process Control (APC) is a very cost-effective way to optimize your plant performance without changing the hardware. An APC application stabilizes the operation and optimizes production and/or energy consumption. A very valuable side effect also results in a better understanding of your production process. Advanced process control (APC) refers to a broad range of techniques and technologies that interact with the base layer process control systems (built up with PID controls). Some APC technologies are e.g. LQR, LQC, H_infinity, Neural, fuzzy, and MPC (Model-Based Predictive Control). An APC application optimizes your plant every minute, over and over again, 24 hours per day, 7 days per week. MPC is the most popular APC technology used in the industry. The Model Predictive Control software uses a model of the process to predict the behavior of the plant in the foreseeable future. Typically a couple of minutes to even several hours ahead. -
7
AVEVA APC
AVEVA
AVEVA APC is model predictive advanced process control that improves your process economics. In today’s economic environment, manufacturers are faced with reduced capital budgets and overhead, rising manufacturing and energy costs, and intense global competition. Comprehensive Advanced Process Control from AVEVA, helps you address complex manufacturing challenges with state-of-the-art automatic control solutions that can extract maximum value from your processes. It can improve production yield and quality and reduce energy consumption. It can help you optimize manufacturing operations and make the performance improvements you need to improve your bottom line continuously. AVEVA APC is a comprehensive model predictive advanced process control software that improves process profitability by enhancing quality, increasing throughput, and reducing energy usage. It uses modern, state-of-the-art technology to provide automatic control systems that are capable of releasing process potential. -
8
PlantPAx
Rockwell Automation
Producers like you are adept at navigating the complexities and challenges of staying competitive. This is true in a variety of industries ranging from pharmaceuticals, consumer packaged goods, and food and beverage to mining and chemical. That’s why it’s so important to implement the latest technological advancements to continue your ever-evolving digital transformation journey. From the control room to the board room, process system users face the persistent challenges of balancing productivity against budget and resource constraints as well as proactively addressing evolving operational risks. Meet these challenges and experience real productivity gains in all areas of your plant with the PlantPAx distributed control system (DCS). System features positively impact the lifecycle of your plant operations by ensuring that plant-wide and scalable systems drive productivity, improve profitability, and reduce overall risks for operations. -
9
Aspen DMC3
Aspen Technology
Develop more accurate and sustainable APC models covering a wider operational range by combining linear and nonlinear variables with deep learning. Improve ROI with rapid controller deployment, continuous model improvement and simplified workflows to enable easier use by engineers. Revolutionize model building with AI and streamline controller tuning with step-by-step wizards to specify linear and nonlinear optimization objectives. Increase controller uptime by accessing, visualizing and analyzing real-time KPIs in the cloud. In today’s ever-evolving global economy, energy and chemical companies need to operate with newfound agility to meet market demand and maximize margins. Aspen DMC3 is a next-generation digital technology helping companies sustain a 2-5% improvement in throughput, a 3% increase in yield and 10% reduction in energy consumption. Learn more about next-generation advanced process control technology. -
10
Pavilion8
Rockwell Automation
Complex industrial processes make it challenging to be both market-driven and sustain profitable operations. Manufacturers must adjust their production methodology to introduce a greater variety of higher-value products and shorter production runs. They need to produce more, run efficiently and improve product quality to the limits of available equipment. For this, they must ensure maximum uptime and more efficient transitions with less waste. In addition, manufacturers are facing stronger public demand to reduce their environmental impact and operate within regulated emissions limits. Rockwell Automation Pavilion8® Model Predictive Control (MPC) technology is an intelligence layer on top of automation systems that continuously drives the plant to achieve multiple business objectives—cost reductions, decreased emissions, consistent quality, and production increases—in real-time. -
11
System 800xA is not only a DCS (Distributed Control System) it’s also an Electrical Control System, a Safety system, and a collaboration enabler with the capacity to improve engineering efficiency, operator performance, and asset utilization. With the built-in electrical control system, ABB Ability System 800xA provides ways to be in control of the complete electrical system, from high-voltage switchgear to low-voltage motor control. Whether together with 800xA DCS or not, ABB Ability System 800xA is the ideal solution as your Electrical Control System. Reduce hardwired cabling on switchgear by connecting to intelligent devices, no matter which standard protocol you have. The high reliability on digital communication improves the information flow from the devices and additional electrical measurement equipment can be removed.
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12
Pitops
PiControl Solutions
Pitops is the only software product that performs truly closed-loop system identification with PID controllers in Auto mode or even of secondary PID controllers in a Cascade mode, without the need to break the cascade chain and to conduct additional time-consuming and intrusive plant step tests. No other competitor tool can do successful transfer function identification using data with PID controllers in Cascade mode (Pitops is the only one). Furthermore, Pitops performs transfer function identification entirely in the time domain whereas all other competitor tools use the more complicated Laplace (S) or Discrete (Z) domain. Pitops can even handle multiple inputs and identify multiple transfer functions simultaneously. Pitops performs multiple inputs closed-loop transfer function system identification in the time domain using a new proprietary breakthrough algorithm, far superior to the older methods like the ARX/ARMAX/Box and Jenkins methods that are used in competitor tools. -
13
Emerson DeltaV
Emerson
DeltaV S-series Electronic Marshalling with CHARMs lets you land field cabling wherever you want, regardless of signal type or control strategy. The DeltaV™ Distributed Control System (DCS) is an easy-to-use automation system that simplifies operational complexity and lowers project risk. The state-of-the-art suite of products and services increases plant performance with intelligent control that is easy to operate and maintain. The DeltaV DCS adapts to meet your needs, scaling easily without adding complexity. The inherent integration of the DeltaV system extends to batch, advanced control, change management, engineering tools, diagnostics, and more. -
14
Apromon
PiControl Solutions
Apromon is an online software product for monitoring the PID loop control performance of primary and Advanced Process Control (APC) loops. Apromon evaluates single loops, cascade loops, any Advanced Process Control (APC) loops and even signals that have PV only but no controller associated with them. Apromon has the unique power to automatically convert flow controllers, pressure controllers, temperature controllers, level controllers, online analysis controllers, and any Advanced Process Control (APC) controller into a single “grade” factor, just like the grade given by a professor to a student on a test or an examination. 100 indicates the best performance and 0 indicates the worst. Runs automatically every set period so that performance is always being calculated and archived. Runs all the time, and does not skip any period for any tag like some competitor products. -
15
MLBox
Axel ARONIO DE ROMBLAY
MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset. -
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CVXOPT
CVXOPT
CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.Starting Price: Free -
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Robyn
Meta
Robyn is an open source, experimental Marketing Mix Modeling (MMM) package developed by Meta’s Marketing Science team. It’s designed to help advertisers and analysts build rigorous, data-driven models that quantify how different marketing channels contribute to business outcomes (like sales, conversions, or other KPIs) in a privacy-safe, aggregated way. Rather than relying on user-level tracking, Robyn analyzes historical time-series data, combining marketing spend or reach data (ads, promotions, organic efforts, etc.) with outcome metrics, to estimate incremental impact, saturation effects, and carry-over (adstock) dynamics. Under the hood, Robyn blends classical statistical methods with modern machine learning and optimization; it uses ridge regression (to regularize against multicollinearity in many-channel models), time-series decomposition to isolate trend and seasonality, and a multi-objective evolutionary algorithm.Starting Price: Free -
18
WhichModel
WhichModel.io
WhichModel is a next-generation AI benchmarking platform designed to help developers and businesses compare and optimize AI models for their specific tasks. It allows users to benchmark over 50 AI models side by side using real-time testing with custom inputs and parameters. The platform offers prompt optimization tools to identify the best-performing prompts across multiple models. Users can track model and prompt performance continuously to make informed, data-driven decisions. WhichModel supports major AI providers including OpenAI, Anthropic, Google, and popular open-source models. With pay-as-you-go credit packages and 24/7 support, it offers flexible and scalable access to AI benchmarking without subscription commitments.Starting Price: $10 -
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statsmodels
statsmodels
statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.Starting Price: Free -
20
MLflow
MLflow
MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects. -
21
VirtualLab Fusion
LightTrans
VirtualLab Fusion is an advanced optical design software that facilitates fast physical optics modeling by connecting various field solvers through a unique operator and channel concept. This integration enables efficient simulations that balance accuracy and speed. The software offers a range of packages tailored to specific optical design needs, providing tools and functionalities to support diverse applications. With an intuitive user interface, VirtualLab Fusion simplifies the design process, allowing users to focus on innovation and optimization. The platform also provides access to tips, tricks, training, and webinars to enhance user proficiency. -
22
NVIDIA PhysicsNeMo
NVIDIA
NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.Starting Price: Free -
23
Tellurium
Tellurium
Tellurium is a Python package that knits together a variety of important packages for carrying out simulation studies in systems biology and other disciplines. Tellurium provides an interface to the powerful high-performance lib roadrunner simulation engine. Tellurium allows you to build your models using an easy-to-use human-readable version of SBML called Antimony. Antimony Tutorial. Tellurium supports all the major standards such as SBML, SED-ML, and COMBINE archives. Tellurium can be used via GUI front-ends such as Spyder, PyCharm, or Jupyter Notebooks (including CoLab) with support for advanced productivity and interactive editing features. Installation is via standard pip installation. We also provide a one-click installer for Windows users which provides a complete environment for systems biology modeling. Tellurium relies on open-source contributions from many people.Starting Price: $15.00/month/user -
24
Sieve
Sieve
Build better AI with multiple models. AI models are a new kind of building block. Sieve is the easiest way to use these building blocks to understand audio, generate video, and much more at scale. State-of-the-art models in just a few lines of code, and a curated set of production-ready apps for many use cases. Import your favorite models like Python packages. Visualize results with auto-generated interfaces built for your entire team. Deploy custom code with ease. Define your environment compute in code, and deploy with a single command. Fast, scalable infrastructure without the hassle. We built Sieve to automatically scale as your traffic increases with zero extra configuration. Package models with a simple Python decorator and deploy them instantly. A full-featured observability stack so you have full visibility of what’s happening under the hood. Pay only for what you use, by the second. Gain full control over your costs.Starting Price: $20 per month -
25
Ansys Icepak
Ansys
Ansys Icepak is a CFD solver for electronics thermal management. It predicts airflow, temperature, and heat transfer in IC packages, PCBs, electronic assemblies/enclosures, and power electronics. Ansys Icepak provides powerful electronic cooling solutions that utilize the industry-leading Ansys Fluent computational fluid dynamics (CFD) solver for thermal and fluid flow analyses of integrated circuits (ICs), packages, printed circuit boards (PCBs), and electronic assemblies. The Ansys Icepak CFD solver uses the Ansys Electronics Desktop (AEDT) graphical user interface (GUI). Perform conduction, convection, and radiation conjugate heat transfer analyses, with many advanced capabilities to model laminar and turbulent flows, and species analysis including radiation and convection. Ansys’ complete PCB design solution enables you to simulate PCBs, ICs, and packages and accurately evaluate an entire system. -
26
Piper TTS
Rhasspy
Piper is a fast, local neural text-to-speech (TTS) system optimized for devices like the Raspberry Pi 4, designed to deliver high-quality speech synthesis without relying on cloud services. It utilizes neural network models trained with VITS and exported to ONNX Runtime, enabling efficient and natural-sounding speech generation. Piper supports a wide range of languages, including English (US and UK), Spanish (Spain and Mexico), French, German, and many others, with voices available for download. Users can run Piper via the command line or integrate it into Python applications using the piper-tts package. The system allows for real-time audio streaming, JSON input for batch processing, and supports multi-speaker models. Piper relies on espeak-ng for phoneme generation, converting text into phonemes before synthesizing speech. It is employed in various projects such as Home Assistant, Rhasspy 3, NVDA, and others.Starting Price: Free -
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Turing
Turing
Turing optimizes, streamlines, and intelligently guides CPG product development. Eliminate manual and physical analysis. Go from idea to production in one place, and faster than ever before. Organizations spend millions endlessly collecting and aggregating data to build accurate models. Turing best-in-class algorithms require significantly less data than generic ML/AI. No more months spent on data aggregation. Turing empowers R&D and product development to combine typically disparate, incompatible data from varying systems into a single platform. Leverage Turing’s AI to discover unique insights and combinations previously buried in siloed data. Develop better prototypes faster. With Turing, you can collaborate and co-create across all stages of product development, from concept to commercialization, within a single platform. Make data-driven product, packaging, or process decisions in real-time, and skip the physical trial-and-error roundabout. -
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zope.interface
Python Software Foundation
This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project. This package provides an implementation of “object interfaces” for Python. Interfaces are a mechanism for labeling objects as conforming to a given API or contract. So, this package can be considered as an implementation of the Design By Contract methodology support in Python. Interfaces are objects that specify (document) the external behavior of objects that “provide” them. An interface specifies behavior through informal documentation in a doc string, attribute definitions, and invariants, which are conditions that must hold for objects that provide the interface. Attribute definitions specify specific attributes. They define the attribute name and provide documentation and constraints of attribute values. Attribute definitions can take a number of forms.Starting Price: Free -
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Radiance
Radiance
Radiance is intended to aid lighting designers and architects by predicting the light levels and appearance of a space prior to construction. The package includes programs for modeling and translating scene geometry, luminaire data and material properties, all of which are needed as input to the simulation. The lighting simulation itself uses ray tracing techniques to compute radiance values (ie. the quantity of light passing through a specific point in a specific direction), which are typically arranged to form a photographic quality image. The resulting image may be analyzed, displayed and manipulated within the package, and converted to other popular image file formats for export to other packages, facilitating the production of hard copy output. The major portion of the Radiance package, and the part that is of chief interest to users, is the lighting simulation engine that calculates light levels and renders images. -
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MindSpore
MindSpore
MindSpore is an open source deep learning framework developed by Huawei, designed to facilitate easy development, efficient execution, and deployment across cloud, edge, and device environments. It supports multiple programming paradigms, including both object-oriented and functional programming, allowing users to define AI networks using native Python syntax. MindSpore offers a unified programming experience that seamlessly integrates dynamic and static graphs, enhancing compatibility and performance. It is optimized for various hardware platforms, including CPUs, GPUs, and NPUs, and is particularly well-suited for Huawei's Ascend AI processors. MindSpore's architecture comprises four layers, the model layer, MindExpression (ME) for AI model development, MindCompiler for optimization, and the runtime layer supporting device-edge-cloud collaboration. Additionally, MindSpore provides a rich ecosystem of domain-specific toolkits and extension packages, such as MindSpore NLP.Starting Price: Free -
31
Steamship
Steamship
Ship AI faster with managed, cloud-hosted AI packages. Full, built-in support for GPT-4. No API tokens are necessary. Build with our low code framework. Integrations with all major models are built-in. Deploy for an instant API. Scale and share without managing infrastructure. Turn prompts, prompt chains, and basic Python into a managed API. Turn a clever prompt into a published API you can share. Add logic and routing smarts with Python. Steamship connects to your favorite models and services so that you don't have to learn a new API for every provider. Steamship persists in model output in a standardized format. Consolidate training, inference, vector search, and endpoint hosting. Import, transcribe, or generate text. Run all the models you want on it. Query across the results with ShipQL. Packages are full-stack, cloud-hosted AI apps. Each instance you create provides an API and private data workspace. -
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OPTIMICA Compiler Toolkit
MODELON
Modelon’s OPTIMICA Compiler Toolkit, the most advanced Modelica-based mathematical engine on the market, offers users a powerful solution for the automation, simulation and optimization of system behaviors throughout the model-based design cycle. Trusted as the compiler for Modelon Impact, OPTIMICA enables users to build multi-domain physical systems by choosing from thousands of available model components. OPTIMICA’s state-of-the-art solvers empower evaluation of complex physical systems – supporting transient simulations as well as steady-state computations and dynamic optimization. The sophisticated mathematical engine can manipulate and simplify models to improve performance and robustness, serving industries and applications ranging from automotive and active safety to energy and power plant optimization. To meet the increased need for regulating power in today’s energy market, start-up optimization of thermal power plants is a key industrial need. -
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Guidewheel
Guidewheel
Get more from existing assets, lower costs, and set your team up to win with Guidewheel's AI-powered platform. The fastest way to improve factory operations. Accurately track downtime and root causes to improve utilization and efficiency. Forecast throughput and accurately track planned vs. actual production. Monitor OEE in real time and see how you’re trending over time. Accurately track cycles, cycle time, and performance against targets. Monitor energy usage and find opportunities to reduce consumption and cost. Learn of maintenance needs before they develop into issues. Monitor conditions like temperature, flow, humidity, and pressure. Reveal and address losses like preventable downtime, long changeovers, and late starts to unlock hidden capacity. Get AI-driven alerts the moment performance deviates from plan, so your team can take corrective action to stay on track. Build customer trust by delivering on time every time.Starting Price: $59 per month -
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ExtendSim
Imagine That
ExtendSim consists of a full range of tools for any type of simulation. No matter how you want to use ExtendSim, building models, running models, analysis, etc., there is a package that will fit your needs. There are ExtendSim products for building, experimenting with, and analyzing models, Model Developer Editions, and more specialized packages designed strictly for running models, analyzing models, or for use as a learning tool. Figure out which package might work best for you based on how you intend to use ExtendSim by visiting User Types. Create, use, and interactively run models, build custom interfaces and components, exchange data with and be controlled by other applications. Each Model Developer Edition (MDE) of ExtendSim has the same core set of capabilities. In them you can create and build models and interfaces, change values and settings, run simulations and animations, perform experiments, do analysis and optimization, save and export results. -
35
Aera
Aera Technology
Aera's Cognitive Operating System™ is the digital brain of your organization - bringing agility, scale, and accuracy to your decision-making processes. This is achieved by dynamically orchestrating the four foundational architectural pillars required for Cognitive Automation: data, science, process, and change. Aera’s patented, real-time crawling technology collects, harmonizes and augments billions of transactions from complex enterprise systems and external data sources, all while preserving context. As a result, 100% of internal and external data required for decision automation and augmentation are made available - in real-time. Aera operationalizes advanced techniques including optimization, predictions, modeling and artificial intelligence (AI) within the decision context. Domain expertise is integrated in patented models with thousands of predefined measures for all areas of the business. Bring your own, build your own, or use our pre-packaged algorithms. -
36
Conda
Conda
Package, dependency, and environment management for any language, Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, Fortran, and more. Conda is an open-source package management system and environment management system that runs on Windows, macOS, Linux, and z/OS. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.Starting Price: Free -
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ProShop Management System
Computer Dynamics
ProShop Management System Package is comprised of 14 modules designed to provide your print shop with various information. The Package allows for all modules in the Junior package plus inventory, scheduling, job costing, and more! ProShop Management System is comprised of four modules that allow you to schedule, control raw and finished good inventory, and track and view job statuses. You can easily follow the progress of a job through your shop and view costing variables to make sure you are making a profit on each job. ProShop Scheduling allows you to view all of you jobs in the shop from start to finish. Move and manipulate the schedule as needed using the on screen progress table or by clicking and dragging scheduled operations. Update and change estimated time with ease. You can allow estimating to schedule the job for you, or schedule each job individually. With ProShop Scheduling, you can follow all of your work flow and plan your days with the simple click of the mouse -
38
Train in Data
Train in Data
Train in Data is your go-to online school for mastering machine learning. We offer intermediate and advanced courses in Python programming, data science and machine learning, taught by industry experts with extensive experience in developing, optimizing, and deploying machine learning models in enterprise production environments. We focus on building a solid, intuitive grasp of machine learning concepts, backed by hands-on Python coding to make sure you can actually apply what you learn. Our approach? Simple: learn the theory, understand the why behind it, then get coding. We give you the complete package—theory, coding, and troubleshooting skills—so you can confidently handle real-world projects from start to finish.Starting Price: $15 -
39
3DIC Compiler
Synopsys
Synopsys 3DIC Compiler, built on the industry’s leading digital implementation platform and using a common fusion data model, enables seamless migration to 2.5/3D heterogeneous integration. In a single environment, the platform allows analysis-driven feasibility exploration, multi-die partitioning, and foundry technology selection for prototyping and floor planning. This enables analysis-driven design implementation, including advanced packaging and die-to-die routing, with golden signoff verification. 3DIC Compiler integrates with Synopsys 3DSO.ai, the industry’s first autonomous AI optimization solution for multi-die designs, to maximize system performance and quality of results for thermal integrity, signal integrity, and power network design. The 3DIC Compiler platform, successfully adopted by customers, is certified by leading foundries for advanced process and packaging technologies. -
40
websockets
Python Software Foundation
An implementation of the WebSocket Protocol (RFC 6455 & 7692). websockets is a library for building WebSocket servers and clients in Python with a focus on correctness, simplicity, robustness, and performance. Built on top of asyncio, Python’s standard asynchronous I/O framework, it provides an elegant coroutine-based API. websockets is heavily tested for compliance with RFC 6455. Continuous integration fails under 100% branch coverage. websockets is built for production. For example, it was the only library to handle backpressure correctly before the issue became widely known in the Python community. Memory usage is optimized and configurable. A C extension accelerates expensive operations. It’s pre-compiled for Linux, macOS, and Windows and packaged in the wheel format for each system and Python version. websockets takes care of everything under the hood so you can focus on your application!Starting Price: Free -
41
GAMS
GAMS
GAMS (General Algebraic Modeling System) is a best-in-class mathematical modeling software known for its high performance, scalability, and ease of use. The official release of GAMSPy now allows users to integrate GAMS with Python, enabling flexible and powerful model creation directly within Python. GAMS simplifies the expression of optimization problems with its efficient algebraic modeling language, offering optimal solutions using top-tier mathematical solvers. GAMS MIRO provides graphical interfaces for GAMS models, facilitating local and cloud deployment with advanced visualization features. For scalable model solving, GAMS Engine offers a reliable SaaS solution, allowing models to be solved on-premises or in the cloud. Additionally, GAMS provides workshops, training, and consulting services to help users develop, improve, and deploy decision-support solutions.Starting Price: $3,500 one-time payment -
42
DemandPlanner
Demand Planner
DemandPlanner helps generate accurate sales and demand forecasts for your products and stores, which is enriched with customer & market dynamics. As a category planner, you gain a clear foresight to prepare optimum replenishment and inventory plans. Demand Planner provides you with accurate sales forecasts, by estimating impacts of a Wide range of external drivers that influence your product demand. The system makes use of advanced quantitative analytics tools, such as Bayesian regression, machine learning and time series modeling; to develop informed estimates over short and long time periods. Its collaborative features streamline demand planning activities with optimized replenishment and procurement along with inventory management. Assess and understand accurately customer demand patterns for your products with the help of advanced predictive analytics models. Balance the net working capital that is tied up in the inventory with immaculate data-driven strategies. -
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NetworkX
NetworkX
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Generators for classic graphs, random graphs, and synthetic networks. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Network structure and analysis measures.Starting Price: Free -
44
Picador
treeDiM
treeDiM is a CAD and PLM* software editor for design packaging and pos/display. Picador, the CAD software, is used in 55 countries by over 4500 users (packaging manufacturers, digital printers, industrial users or trademark companies, designers). PLMPack, the collaborative platform, is used worldwide by over 15.000 users. Our innovative project for a collaborative ecodesign platform PLM Pack provides many software modules like : PackLIB, a set of libraries of parametric packaging models. StackBuilder, for palletizing, case packing, and truck loading optimization. PackStress to calculate packing and stacking resistance. Optimus launches the new module of Packaging Estimating with automatic calculation of imposition of printing, die-cutting, case packing and palletizing, getting packaging manufacturers to meet all the increasingly demanding requirements of their customers, achieving, reducing the time-to-market. -
45
Curated.Media
Curated.Media
Curated.Media is a self-service, independent programmatic media curation platform that helps advertisers, agencies, and programmatic media buyers streamline how they build, manage, and activate curated Private Marketplace (PMP) deals and inventory packages across digital advertising channels. It enables users to access a library of curated PMPs or create custom PMPs that combine publisher first-party data, third-party audience layers, and context-specific inventory, such as CTV packages or performance-oriented placements, to align with precise targeting and KPI goals. It emphasizes control, transparency, and efficiency by letting buyers shape supply, cut out intermediaries, and directly curate the inventory they activate, reducing operational friction and improving campaign performance compared with unmanaged programmatic buys. Features support layering audience signals, choosing inventory based on context or performance, and optimizing deals with data-driven insights.Starting Price: Free -
46
Marketscience Studio
Marketscience
Our Marketing Analytics and optimization software provides a modern, integrated environment for advanced marketing investment analytics. In the data visualization module, users, including those without advanced analytic skills, can examine and understand the sets of visuals and statistics needed to both verify the data and form initial insights and hypotheses on what's driving demand. The core Modeling module provides a comprehensive user interface (UI) for specifying a range of dynamic linear panel models at all levels of the client business. User-specified model structures are integrated with the model database to perform any required variable transformation which is then transferred to the proprietary model estimation algorithm housed within the OxMetrics analytics package. -
47
Spherexx Optimize
Spherexx
Spherexx Optimize is an AI-powered revenue management platform tailored for multifamily properties. It enhances operational efficiency by providing real-time occupancy forecasting, predictive analysis for leases and renewals, and automated pricing models based on various variables like competitor data and property type. The platform integrates seamlessly with top property management software, and includes powerful features like customizable dashboards, pricing simulations, and renovation valuation tools. With built-in reporting and competitor analysis, Optimize helps property managers make data-driven decisions to maximize asset value and drive profitability. -
48
Bloomfilter
Bloomfilter
The first step to improving a process is to understand it. Bloomfilter uses process mining to analyze time-series data from your entire stack and build a model of your team's unique software development process – and then helps you optimize it. Visualize cost breakdown between build, run, and maintain. While software development is both an art and a science, data-driven teams ship more often and innovate faster. Translate sprints and points into dollars and cents. Understand where your process breaks down, and get best practices on how to improve it. Increase predictability when scoping work and estimating when new features will ship. Get objective analysis on your development process in a language everyone understands. -
49
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. -
50
Monster API
Monster API
Effortlessly access powerful generative AI models with our auto-scaling APIs, zero management required. Generative AI models like stable diffusion, pix2pix and dreambooth are now an API call away. Build applications on top of such generative AI models using our scalable rest APIs which integrate seamlessly and come at a fraction of the cost of other alternatives. Seamless integrations with your existing systems, without the need for extensive development. Easily integrate our APIs into your workflow with support for stacks like CURL, Python, Node.js and PHP. We access the unused computing power of millions of decentralised crypto mining rigs worldwide and optimize them for machine learning and package them with popular generative AI models like Stable Diffusion. By harnessing these decentralized resources, we can provide you with a scalable, globally accessible, and, most importantly, affordable platform for Generative AI delivered through seamlessly integrable APIs.
