head to head · open source
langchain vs Codewhale
langchain has 146,538 GitHub stars, 24,504 forks, 492 open issues and last shipped yesterday. Codewhale has 40,995 stars, 3,564 forks, 110 open issues and last shipped yesterday. langchain leads on adoption by 257% (146,538 vs 40,995 stars). langchain is written in Python under MIT; Codewhale is written in Rust under MIT. langchain has attracted 17% as many forks as stars, Codewhale 9%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| langchain | Codewhale | |
|---|---|---|
| GitHub stars | ★ 147K | ★ 41K |
| License | MIT | MIT |
| Written in | Python | Rust |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 25K | ⑂ 3.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 147K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Codewhale if
- You want the Codewhale feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Rust
- You evaluated both and Codewhale fits your workflow better
About langchain
LangChain is an open source framework for building agents and LLM powered applications, written in Python and released under the MIT license. It lives in the AI and machine learning ecosystem, specifically among AI development platforms, and it works by chaining together interoperable components and third party integrations so that AI application development becomes simpler. The project describes itself as the agent engineering platform, and its abstractions are designed to keep applications working as the underlying technology evolves.
read the full langchain overview →
About Codewhale
Codewhale is an open source coding agent that runs in the terminal, written in Rust and released under the MIT license. It reads a project, edits files, runs commands, and checks its own work against a goal, using either a hosted model or a local model that the user chooses and connects. The project is developed in the open on GitHub, where it has gathered roughly 41,000 stars and 3,500 forks, with the repository sitting at about one year old and 110 open issues. It lives in the AI development tooling ecosystem, specifically the growing class of terminal based coding agents, and it is distributed both as a CLI bi…
read the full Codewhale overview →
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Frequently asked questions
Is langchain or Codewhale more popular?
langchain has 146,538 GitHub stars and Codewhale has 40,995. langchain has the larger community by that measure.
Are langchain and Codewhale free?
Both are open source. langchain is licensed under MIT and Codewhale under MIT. Neither carries a licence fee.
What is the difference between langchain and Codewhale?
langchain is written in Python and Codewhale in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, langchain or Codewhale?
Choose langchain if you want the larger community (146,538 stars) or its MIT licence terms. Choose Codewhale if its feature set, stack or MIT licence fits better. Both are self-hostable.