head to head · open source
Langchain-Chatchat vs DeepAnalyze
Langchain-Chatchat has 38,643 GitHub stars, 6,266 forks, 26 open issues and last shipped 10 months ago. DeepAnalyze has 4,638 stars, 736 forks, 27 open issues and last shipped 9 days ago. Langchain-Chatchat leads on adoption by 733% (38,643 vs 4,638 stars). Langchain-Chatchat is written in Python under Apache-2.0; DeepAnalyze is written in Python under MIT. Langchain-Chatchat has attracted 16% as many forks as stars, DeepAnalyze 16%. DeepAnalyze was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatbot), 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-Chatchat | DeepAnalyze | |
|---|---|---|
| GitHub stars | ★ 39K | ★ 4.6K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2025-11-10 | 2026-09-11 |
| Forks | ⑂ 6.3K | ⑂ 736 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langchain-Chatchat if
- You weight community size — 39K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick DeepAnalyze if
- You want the DeepAnalyze feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and DeepAnalyze fits your workflow better
About Langchain-Chatchat
Langchain Chatchat (formerly Langchain ChatGLM) is an open source RAG and Agent application built on the Langchain framework and designed to run against local large language models such as ChatGLM, Qwen, and Llama. It lives in the Python ecosystem, is distributed under the Apache 2.0 license, and is published on PyPI as langchain chatchat . The project targets Chinese language scenarios and open source models specifically, with the stated goal of providing a knowledge base question answering solution that can run entirely offline.
read the full Langchain-Chatchat overview →
About DeepAnalyze
DeepAnalyze is an open source agentic large language model that autonomously carries out data science work — data preparation, analysis, modeling, visualization, and report generation — for data analysts, researchers, and engineering teams that want to run those pipelines on their own infrastructure instead of through a hosted assistant.
read the full DeepAnalyze overview →
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Frequently asked questions
Is Langchain-Chatchat or DeepAnalyze more popular?
Langchain-Chatchat has 38,643 GitHub stars and DeepAnalyze has 4,638. Langchain-Chatchat has the larger community by that measure.
Are Langchain-Chatchat and DeepAnalyze free?
Both are open source. Langchain-Chatchat is licensed under Apache-2.0 and DeepAnalyze under MIT. Neither carries a licence fee.
What is the difference between Langchain-Chatchat and DeepAnalyze?
Langchain-Chatchat is written in Python and DeepAnalyze in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Langchain-Chatchat or DeepAnalyze?
Choose Langchain-Chatchat if you want the larger community (38,643 stars) or its Apache-2.0 licence terms. Choose DeepAnalyze if its feature set, stack or MIT licence fits better. Both are self-hostable.