head to head · open source
taipy vs langchain4j
taipy has 19,453 GitHub stars, 1,999 forks, 225 open issues and last shipped 3 months ago. langchain4j has 13,344 stars, 2,657 forks, 878 open issues and last shipped yesterday. taipy leads on adoption by 46% (19,453 vs 13,344 stars). taipy is written in Python under Apache-2.0; langchain4j is written in Java under Apache-2.0. taipy has attracted 10% as many forks as stars, langchain4j 20%. langchain4j 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
| taipy | langchain4j | |
|---|---|---|
| GitHub stars | ★ 19K | ★ 13K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Java |
| Last push | 2026-08-10 | 2026-11-02 |
| Forks | ⑂ 2.0K | ⑂ 2.7K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick taipy if
- You weight community size — 19K 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 langchain4j if
- You want the langchain4j feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Java
- You evaluated both and langchain4j fits your workflow better
About taipy
Build Python Data & AI web applications From simple pilots to production ready web applications in no time. No more compromises on performance, customization, and scalability. Go beyond existing libraries Table of Contents Taipy? What for? Taipy and its ecosystem Quickstart Documentation and resources Contributing Code of Conduct License ⭐ What for? Taipy is designed for data scientists and machine learning engineers to create data & AI driven web applications. ⭐️ Enables building production ready web applications. ⭐️ No need to learn new languages; only Python is needed. ⭐️ Focus on data and AI algorithms…
read the full taipy overview →
About langchain4j
LangChain4j: idiomatic, open source Java library for building LLM powered applications on the JVM Introduction Welcome! The goal of LangChain4j is to simplify integrating LLMs into Java applications. Here's how: 1. Unified APIs: LLM providers (like OpenAI or Google Vertex AI) and embedding (vector) stores (such as Pinecone or Milvus) use proprietary APIs. LangChain4j offers a unified API to avoid the need for learning and implementing specific APIs for each of them. To experiment with different LLMs or embedding stores, you can easily switch between them without the need to rewrite your code. LangChain4j…
read the full langchain4j overview →
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Frequently asked questions
Is taipy or langchain4j more popular?
taipy has 19,453 GitHub stars and langchain4j has 13,344. taipy has the larger community by that measure.
Are taipy and langchain4j free?
Both are open source. taipy is licensed under Apache-2.0 and langchain4j under Apache-2.0. Neither carries a licence fee.
What is the difference between taipy and langchain4j?
taipy is written in Python and langchain4j in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, taipy or langchain4j?
Choose taipy if you want the larger community (19,453 stars) or its Apache-2.0 licence terms. Choose langchain4j if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.