head to head · open source
langchain vs open-science
langchain has 148,982 GitHub stars, 25,048 forks, 492 open issues and last shipped yesterday. open-science has 5,435 stars, 551 forks, 40 open issues and last shipped yesterday. langchain leads on adoption by 2,641% (148,982 vs 5,435 stars). langchain is written in Python under MIT; open-science is written in TypeScript under Apache-2.0. langchain has attracted 17% as many forks as stars, open-science 10%. open-science 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 | open-science | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 5.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 25K | ⑂ 551 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 149K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick open-science if
- You want the open-science feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and open-science fits your workflow better
About langchain
The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…
read the full langchain overview →
About open-science
AIPOCH Open Science AI research workbench for reproducible science — open source, local first, and model agnostic. AIPOCH Open Science is an AI research workbench for scientists and researchers, developed by AIPOCH with an open source, local first, model agnostic approach. It enables reproducible, inspectable research with scientific AI agents, Python and R execution, scientific data connectors, and cross platform support for macOS, Windows, and Linux. Create a project, describe your research goal in plain language, and let the agents read files, search the web, run code, query scientific data sources, and…
read the full open-science overview →
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Frequently asked questions
Is langchain or open-science more popular?
langchain has 148,982 GitHub stars and open-science has 5,435. langchain has the larger community by that measure.
Are langchain and open-science free?
Both are open source. langchain is licensed under MIT and open-science under Apache-2.0. Neither carries a licence fee.
What is the difference between langchain and open-science?
langchain is written in Python and open-science in TypeScript. 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 open-science?
Choose langchain if you want the larger community (148,982 stars) or its MIT licence terms. Choose open-science if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.