Open Source Software Development Software
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Software Development Software
View 1485 business solutionsBrowse free open source Software Development software and projects for Windows and Mac below. Use the toggles on the left to filter open source Software Development software by OS, license, language, programming language, and project status.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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PSeInt
A tool for learning programming basis with a simple spanish pseudocode
PSeInt is a pseudo-code interpreter for spanish-speaking programming students. Its main purpose is to be a tool for learning and understanding the basic concepts about programming and applying them with an easy understanding spanish pseudocode. -
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"Roberge's Used Robot (RUR) : a Python Learning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple
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BASIC-256 is an easy to use version of BASIC designed to teach anybody how to program. A built-in graphics mode lets them draw pictures on screen in minutes, and a set of easy-to-follow tutorials introduce programming concepts through fun exercises, 2021-08-05 - Ubuntu and other LINUX users can install the latest version with snap: sudo snap --beta basic256
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Electron Fiddle
The easiest way to get started with Electron
Electron Fiddle lets you create and play with small Electron experiments. It greets you with a quick-start template after opening – change a few things, choose the version of Electron you want to run it with, and play around. Then, save your Fiddle either as a GitHub Gist or to a local folder. Once pushed to GitHub, anyone can quickly try your Fiddle out by just entering it in the address bar. Try Electron without installing any dependencies: Fiddle includes everything you'll need to explore the platform. It also includes examples for every API available in Electron, so if you want to quickly see what a BrowserView is or how the desktopCapturer works, Fiddle has got you covered. Fiddle includes Microsoft's excellent Monaco Editor, the same editor powering Visual Studio Code. It also installs the type definitions for the currently selected version of Electron automatically, ensuring that you always have all Electron APIs only a few keystrokes away. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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XDXF is a project to unite all existing open dictionaries and provide both users and developers with universal XML-based format, convertible from and to other popular formats like Mova, PtkDic, StarDict, ABBYY Lingvo etc. * New drafts of format can be found here: https://github.com/soshial/xdxf_makedict/tree/master/format_standard * The development of dictionary converter moved to Github: https://github.com/soshial/xdxf_makedict
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IMPORTANT NOTICE: This project has moved to GitHub: https://github.com/sarahtattersall/PIPE Releases will be posted here, but please check on GitHub for the most recent activity. Create, model and analyse Petri nets with a standards-compliant Petri net tool. PIPE2 is the active fork of the Platform Independent Petri net Editor project, which originated at Imperial College London.
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Awesome Mac
Collect premium software in various categories
Now we have become very big and different from the original idea. Here we collect awesome macOS software in various categories. Feel free to star and fork. Reading and writing tools, text editors, office, markdown tools, note-taking, journaling. Ebooks, RSS, developer tools, IDEs, developer utilities, etc. Regular expression editors, API development and analysis, network analysis, command line tools, frameworks for hybrid applications, version control. Virtualization, databases, design and product, design tools, prototyping and mind-mapping tools, screen capturing software, etc. Major software download sites, there are a number of OSX Mac software sites. This project exists thanks to all the people who contribute. -
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Ansible-lint
Best practices checker for Ansible
Ansible Lint is a command-line tool for linting playbooks, roles and collections aimed towards any Ansible users. Its main goal is to promote proven practices, patterns and behaviors while avoiding common pitfalls that can easily lead to bugs or make code harder to maintain. Ansible lint is also supposed to help users upgrade their code to work with newer versions of Ansible. Due to this reason we recommend using it with the newest version of Ansible, even if the version used in production may be older. As any other linter, it is opinionated. Still, its rules are the result of community contributions and they can always be disabled based individually or by category by each user. ansible-lint checks playbooks for practices and behavior that could potentially be improved. As a community-backed project ansible-lint supports only the last two major versions of Ansible. -
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90DaysOfDevOps
The journey towards a better foundational knowledge of DevOps
This repository is used to document my journey on getting a better foundational knowledge of DevOps. I will be starting this journey on the 1st January 2022 but the idea is that we take 90 days which just so happens to be January 1st to March 31st. The reason for documenting these days is so that others can take something from it and also hopefully enhance the resources. The goal is to take 90 days, 1 hour a day, to tackle over 13 areas of DevOps to foundational knowledge. This will not cover all things DevOps but it will cover the areas that I feel will benefit my learning and understanding overall. What is and why do we use DevOps. Learning a Programming Language. Knowing Linux Basics. Understand Networking. Stick to one Cloud Provider. Use Git Effectively. Automate Configuration Management. Learn Infrastructure as Code. And much more! -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Agora Flat
Project flat is the Web, Windows and macOS client of Agora Flat
Agora Flat Open Source Virtual Classroom. Battery included online tutoring tools for teachers & freelance trainers. Build real-time interactive virtual classroom with ease from our open-sourced projects. Agora Flat was born out of an exploratory project in which we investigated customer needs and user experience. After receiving good internal feedback, we believe that Flat has the potential to become an online classroom product that can really help people and have a good user experience. We hope that through Flat the transfer cost of knowledge can be reduced a little. We knew that our power alone wasn’t enough, so we decided to open source, give as many developers as possible the opportunity to participate, and let the ideas and power of the community nourish Flat until it becomes something useful. Flat is currently under heavy development. It still grows up day by day. We are very happy to share this joy with you. -
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cppbestpractices
Collaborative collection of C++ best practices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. This document is meant to be a collaborative discussion of the best practices in C++. It complements books such as Effective C++ (Meyers) and C++ Coding Standards (Alexandrescu, Sutter). We fill in some of the lower-level details that they don't discuss and provide specific stylistic recommendations while also discussing how to ensure overall code quality. In all cases brevity and succinctness is preferred. Examples are preferred for making the case for why one option is preferred over another. If necessary, words will be used. C++ Best Practices by Jason Turner is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. -
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Free, open source Computer Aided Dispatch for volunteer fire departments, ARES/RACES, CERT teams, EMS, search & rescue, and campus security. 30+ years of real-world use. Zero cost. Self-hosted.
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Code Guide
Standards for developing consisten and sustainable HTML and CSS
Code Guide is a set of standards for developing consistent, flexible, and sustainable HTML and CSS. It comes from years of experience writing code on projects of all sizes. It's not the end-all be-all, but it's a start. Don't capitalize tags, including the doctype. Use soft tabs with two spaces, they're the only way to guarantee code renders the same in any environment. Nested elements should be indented once (two spaces). Always use double quotes, never single quotes, on attributes. Don't include a trailing slash in self-closing elements, the HTML5 spec says they're optional. Don’t omit optional closing tags (e.g. </li> or </body>). Enforce standards mode and more consistent rendering in every browser possible with this simple doctype at the beginning of every HTML page. Authors are encouraged to specify a lang attribute on the root html element, giving the document's language. This aids speech synthesis tools to determine what pronunciations to use. -
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DeepLearning
Deep Learning (Flower Book) mathematical derivation
" Deep Learning " is the only comprehensive book in the field of deep learning. The full name is also called the Deep Learning AI Bible (Deep Learning) . It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. Finally, the Deep Learning book provides research directions covering theoretical topics including linear factor models, autoencoders, representation learning, structured probabilistic models, etc. -
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Litmus
Litmus helps SREs and developers practice chaos engineering
LitmusChaos is an open source Chaos Engineering platform that enables teams to identify weaknesses & potential outages in infrastructures by inducing chaos tests in a controlled way. Developers & SREs can practice Chaos Engineering with Litmus as it is easy to use, based on modern chaos engineering principles & community collaboration. It is 100% open source & a CNCF project. Litmus takes a cloud-native approach to create, manage and monitor chaos. The platform itself runs as a set of microservices and uses Kubernetes custom resources to define the chaos intent, as well as the steady-state hypothesis. A centralized chaos management tool called chaos-center helps construct, schedule, and visualize Litmus chaos workflows. Made up of a chaos agent and multiple operators that execute & monitor the experiment within a defined target Kubernetes environment. -
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Lucid
A collection of infrastructure and tools for research
Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. You can run the notebooks on your local machine, too. Clone the repository and find them in the notebooks subfolder. You will need to run a local instance of the Jupyter notebook environment to execute them. Feature visualization answers questions about what a network, or parts of a network, are looking for by generating examples. -
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Jasmin is a Java Assembler. It takes ASCII descriptions for Java classes, written in a simple assembler-like syntax. It converts them into binary Java .class class files suitable for loading into a Java Virtual Machine implementation.
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The most recent distribution of MyOpenLab can be downloaded from: myopenlab.org Follow us on Facebook as MyOpenLab Colombia https://www.facebook.com/myopenlabcolombia/ Subscribe, like and watch our MyOpenLab videos: https://www.youtube.com/channel/UCet6UPnaHKGjtbytJHIf2jQ Thanks!
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Google Open Source Project Style Guide
Chinese version of Google open source project style guide
Each larger open source project has its own style guide, a series of conventions on how to write code for the project (sometimes more arbitrary). When all the code maintains a consistent style, it is more important when understanding large code bases. easy. The meaning of "style" covers a wide range, from "variables use camelCase" to "never use global variables" to "never use exceptions". The English version of the project maintains the programming style guidelines used in Google. If the project you are modifying originates from Google, you may be directed to the English version of the project page to understand the style used by the project. The Chinese version of the project uses reStructuredText plain text markup syntax, and uses Sphinx to generate document formats such as HTML / CHM / PDF. -
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Stanza
Stanford NLP Python library for many human languages
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. Stanza is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data. -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides, data cleaning and transformation resources, and curated lists of newsletters and industry communities, making it useful both for self-study and technical interview preparation. The repository is actively maintained and widely starred, reflecting its role as a go-to reference for newcomers and experienced practitioners alike. -
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Java provides the concurrent library that simplifies concurrent programming, but this is hard to learn and visualize. This project is a series of animations each illustrating the coding and usage of a component in the java concurrent library.
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DrPython is a highly customizable cross-platform ide to aid programming in Python. It was developed with teaching in mind, and has a clean, simple interface. It is written in Python, using wxPython as the gui.
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Virtual T is a TRS-80 Model 100/102/200 emulator that runs on Windows, Linux, and Macintosh. The goal of Virtual T is to provide 100% hardware emulation so any existing programs will run. It also adds powerful development and debugging tools.
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Best-of Python
A ranked list of awesome Python open-source libraries
This curated list contains 390 awesome open-source projects with a total of 1.4M stars grouped into 28 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! Ranked list of awesome python libraries for web development. Correctly generate plurals, ordinals, indefinite articles; convert numbers. Libraries for loading, collecting, and extracting data from a variety of data sources and formats. Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.
