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CompozyOS is an operating system for AI agents that plugs in existing agent CLIs such as Claude Code, Codex, Gemini CLI, and Cursor. The agents split work, hand tasks to each other, run automated jobs and loops, and share one project memory, steered from the browser. The v0.3 line is in beta, and the v0.2.15 product is deprecated.
Creates or edits images with generative models and visual controls.
Config Manager, part of OpenCode Studio, is a visual configuration management tool for OpenCode. It provides a modern dashboard that allows users to configure MCP servers, skills, plugins and AI agents.
ContextQA is an AI test automation platform for enterprise applications and AI agents. It generates test cases, repairs broken selectors automatically, and supports web, API, cross-browser, and cross-device testing. It also offers MCP integration with Cursor and Claude Code.
ctop is a GitHub repository maintained by aakashadesara. It is an interactive process viewer for AI coding agents, with documentation covering its features, installation process, keyboard shortcuts, and pinned sessions.
Cursor is a coding agent for building software. It can be used to understand a codebase, plan and build features, fix bugs and review changes. Cloud agents run in isolated VMs for parallel work, and it integrates with tools including GitHub, GitLab, Slack and Linear.
CurveLab is a toolbox implementing the Fast Discrete Curvelet Transform in Matlab and C++, currently at version 2.1.2. Academics at not-for-profit organizations may download the source code for non-commercial research after registering and signing a license agreement. Commercial use and use by for-profit organizations require a commercial license from the Caltech Office of Technology Transfer, which includes a free trial period.
Cynative is an open-source project offering security agents for cloud, code, and runtime environments. It includes 45 built-in agents that audit AWS, GCP, Azure, Kubernetes, GitHub, and GitLab for issues including privilege escalation, public exposure, and supply chain vulnerabilities, and supports creating custom agents in a single markdown file with live read-only infrastructure access.
d3py is a plotting library for Python based on D3. It builds on d3.js and the pandas DataFrame module to plot data from the command line or simple scripts into a browser window. Its README describes the code as an experiment, notes that it is not actively developed, and points to vincent as an alternative.
Darknet is an open source neural network framework written in C and CUDA that supports CPU and GPU computation. The repository also references YOLO object detection work, including YOLOv7 and Scaled-YOLOv4 papers and source code.
Dash is an open-source Python library for building data applications and dashboards without requiring JavaScript expertise. It is maintained by Plotly and hosted on the company's public GitHub repository, where users can access source code and contribute to the project.
daspartho/prompt-extend is a publicly hosted GitHub repository for a tool that extends Stable Diffusion prompts with appropriate style cues using text generation. The repository includes documentation for usage, code files, example prompts, and contribution guidelines for the project.
ReadStat.jl, listed as Data Read, is an open-source Julia library for reading data files in Stata, SAS, and SPSS formats. The project is hosted on GitHub under the queryverse organization, where users can access source code and contribute to its development.
A public GitHub template repository for data science lifecycle projects. It provides a default directory structure including folders for code, data, docs, environments, notebooks, pipelines and tests, plus issue templates and a .github labels file. The source describes it as a launch-off point with minimal opinions. One manual step is creating labels from the labels file.
Free 3-month individual subscription to learn data science and AI skills.
DataFrames.jl is a Julia library that provides in-memory tabular data structures for data manipulation and analysis. It is developed by the JuliaData organization and its source code is hosted on GitHub.
DataPup is an open-source, AI-assisted, cross-platform database client built with Electron and powered by LangChain for AI assistance. It currently supports ClickHouse and PostgreSQL, with MySQL and SQLite listed as coming soon. It is released under the MIT license.
Datumbox is an open-source machine learning framework written in Java for rapid development of machine learning and statistical applications. It focuses on including many machine learning algorithms and statistical methods and on handling large datasets. The code is licensed under the Apache License, Version 2.0, and releases are available on Maven Central, including version 0.8.2.
Supports software work with AI-assisted coding, testing or application development.
DeepSWE is a GitHub repository that provides a benchmark for measuring the performance of frontier coding AI agents on original, long-horizon engineering tasks. The repository includes documentation on task format, quickstart guides, and details about supported agents and models.
An agentic LLM for autonomous data science that performs data preparation, analysis, modeling, visualization, and report generation without human intervention. It supports open-ended research on structured, semi-structured, and unstructured data sources, and the model, code, training data, and demo are open-sourced.
DeepSeek-V3 is a Mixture-of-Experts language model with 671B total parameters and 37B activated per token. It uses Multi-head Latent Attention and DeepSeekMoE architectures, was pre-trained on 14.8 trillion tokens, and then underwent supervised fine-tuning and reinforcement learning. The repository provides the model weights and inference code.
DeepSWE is a benchmarking platform that evaluates frontier coding agents on original, long-horizon software engineering tasks. It provides a public leaderboard, task examples, and tracks results across 113 tasks, 91 repositories, 5 programming languages, and 28 models.
Design Arena is a global crowdsourced benchmark for AI-generated design. It allows users to challenge, vote on, and crown winning design outputs, access category-specific leaderboards for assets including websites, slides, images, video, audio, and code, and use top AI models to generate a wide range of design and development assets. Millions of users across over 190 countries use the platform to discover and compare AI model capabilities.
