head to head · open source
langchain vs ruby_llm
langchain has 146,562 GitHub stars, 24,508 forks, 492 open issues and last shipped today. ruby_llm has 4,379 stars, 501 forks, 7 open issues and last shipped yesterday. langchain leads on adoption by 3,247% (146,562 vs 4,379 stars). langchain is written in Python under MIT; ruby_llm is written in Ruby under MIT. langchain has attracted 17% as many forks as stars, ruby_llm 11%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agents, ai, anthropic, gemini), so they are genuine substitutes rather than adjacent tools.
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 | ruby_llm | |
|---|---|---|
| GitHub stars | ★ 147K | ★ 4.4K |
| License | MIT | MIT |
| Written in | Python | Ruby |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 25K | ⑂ 501 |
| 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 ruby_llm if
- You want the ruby_llm feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Ruby
- You evaluated both and ruby_llm 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 ruby_llm
RubyLLM is the Ruby native AI framework that gives Ruby and Rails applications chats, agents, tools, images, audio, and video through one consistent API spanning 17 providers.
read the full ruby_llm overview →
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Frequently asked questions
Is langchain or ruby_llm more popular?
langchain has 146,562 GitHub stars and ruby_llm has 4,379. langchain has the larger community by that measure.
Are langchain and ruby_llm free?
Both are open source. langchain is licensed under MIT and ruby_llm under MIT. Neither carries a licence fee.
What is the difference between langchain and ruby_llm?
langchain is written in Python and ruby_llm in Ruby. 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 ruby_llm?
Choose langchain if you want the larger community (146,562 stars) or its MIT licence terms. Choose ruby_llm if its feature set, stack or MIT licence fits better. Both are self-hostable.