Canaryarena is an AI tool or resource for chat, research, automation, media generation, or model development.
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Catniff is a small deep learning framework for JavaScript built to be Torch-like and inspired by Tinygrad APIs. It is under development, and its APIs can be unstable and backwards-incompatible. It provides tensors, autograd and optimizers, and is installed through npm.
Charisma.ai is a conversational AI platform for building interactive scenarios for online training and campaigns. It offers realistic conversation simulations and real-time analytics on engagement, with publication to web, VR or game engine experiences through SDKs. Plans include a pay-as-you-go option and an enterprise tier with development options.
CML, or Continuous Machine Learning, is an open-source CLI tool for implementing CI/CD with a focus on MLOps. It is used to automate development workflows, including machine provisioning, model training and evaluation, comparing ML experiments across project history, and monitoring changing datasets. It can generate a visual report with results and metrics automatically on every pull request, using GitLab, GitHub, or Bitbucket.
A Hugging Face Space by livecodebench that presents a collection of coding questions and shows how different AI models perform on each. Selecting a problem displays each model's generated code, its pass/fail rate and a color-coded correctness score.
Code Web Chat (CWC) is a free, open-source AI coding tool that integrates with chatbots and APIs. It is compatible with the VS Code family of editors including Cursor, VSCodium, and Antigravity. It supports chatbots such as ChatGPT, Gemini, Claude, Grok and DeepSeek, and APIs including Gemini API, OpenRouter and local Ollama. Features include code completions, checkpoints for state restoration, and a browser extension for autofill available for Chrome and Firefox. It is released under the GPL-3.0 license.
CodeAlmanac is a GitHub repository maintained by AlmanacCode. It is a codebase wiki for AI coding agents, designed to capture information including decisions, flows, invariants, and gotchas that are not explicitly stated in code.
CodeRabbit is an AI-first pull request reviewer. It provides context-aware feedback, line-by-line code suggestions, real-time chat, and agentic change management features including PR triage, code explainability, and security monitoring for agent outputs.
CodeSandbox is a cloud development platform that enables developers to code, collaborate and ship projects of any size from any device. Following its merger with Together AI, it offers the CodeSandbox SDK for programmatically creating isolated sandboxes for instant code execution in AI agents and code playgrounds. The platform provides secure, scalable environments with features such as quick start, auto-resume and customizable hibernation.
OpenAI’s platform for agentic coding workflows and automated software development tasks.
Cognitive Class AI by IBM is a free online learning platform. It offers over 100 courses, 300 hands-on projects and 20 learning paths covering AI, cloud computing, full-stack development, cybersecurity, data science and other technology fields. Learners can earn certificates and badges, and the platform serves over 3 million learners.
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.
CorpusLoaders is a Julia package that provides a variety of loaders for different natural language processing (NLP) corpora, maintained by JuliaText and hosted on GitHub. It simplifies accessing and loading diverse NLP datasets for research and development use cases.
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.
Dagster is an open source, cloud-native data pipeline orchestrator for the data development lifecycle, with integrated lineage and observability. Users declare data assets as Python functions, and Dagster runs them and keeps assets up to date. It is designed for developing and maintaining data assets such as tables, data sets, machine learning models, and reports.
Free 3-month individual subscription to learn data science and AI skills.
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.
DB GPT is an open-source agentic AI data assistant developed by eosphoros-ai and hosted on GitHub, designed for use in next-generation AI and data products. It offers capabilities including agentic data analysis and autonomous SQL and code execution.
Deep ML supports machine learning models, deployment, inspection, datasets, or AI development workflows.
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.
DeepLearningWizard is an AI tool or resource for chat, research, automation, media generation, or model development.
DeepPavlov is an open-source library for deep learning end-to-end dialog systems and chatbots. Version 1.0 is described as an NLP framework built on PyTorch and transformers for modular, configuration-driven development of NLP models, intended for practitioners with limited NLP/ML knowledge. It supports Linux, Windows 10+ through WSL/WSL2, and MacOS Big Sur+ on Python 3.6 to 3.10.
DeepSeek Coder is a series of open code language models trained from scratch on 2T tokens, composed of 87% code and 13% natural language in English and Chinese. Models are offered in 1B, 5.7B, 6.7B and 33B sizes, pre-trained on project-level code corpora with a 16K window size and a fill-in-the-blank task for completion and infilling.