Top Free & Open Source Tools with 100k+ Stars
Category | License | Alternatives To | Links | ||
|---|---|---|---|---|---|
Developer Tools+1 | Sustainable Use License | Zapier, Make, Workato, Tray.io | 202,196 | ||
Ai Ml+1 | MIT | SuperAGI, Devin, BabyAGI | 186,842 | ||
Ai Ml+1 | MIT | OpenAI API | 179,301 | ||
Developer Tools+1 | MIT | Starship, Prezto, Fish | 172,000 | ||
Ai Ml+1 | AGPL-3.0 | Browse AI | 171,507 | ||
Ai Ml | MIT | Flowise | 153,606 | ||
Ai Ml | Apache-2.0 | LangChain | 153,326 | ||
Ai Ml+1 | MIT | ChatGPT | 149,715 | ||
Ai Ml+1 | MIT | Semantic Kernel, Llamaindex, Haystack | 144,863 | ||
Productivity+1 | MIT | Mural, Miro | 130,345 | ||
Ai Ml+2 | GPL-3.0 | Fooocus, Stable Diffusion Webui, Invokeai | 129,558 | ||
Productivity+1 | AGPL-3.0 | AnyDesk, TeamViewer | 121,637 |
100k+ Stars FAQs
GitHub stars are a useful signal of interest, not a guarantee of quality, security, or fit. Use them alongside maintenance activity, documentation, issue response, and your own evaluation.
Not always. A less-known project may better match your stack, privacy needs, budget, or deployment model. Shortlist tools by requirements first, then use popularity as a supporting signal.
Check the problem each tool solves, the license, release cadence, documentation, integrations, hosting options, and adoption effort. Visit official sources before deciding.
A project’s license and optional hosted plans determine its cost and usage rights. Verify both in the project’s official sources.
Possibly, but popularity alone is not enough. Validate security, performance, support expectations, licensing, and operational ownership in a test environment before using any project for production workloads.