head to head · open source
llama_index vs taipy
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. taipy has 19,453 stars, 1,999 forks, 225 open issues and last shipped 3 months ago. llama_index leads on adoption by 171% (52,779 vs 19,453 stars). llama_index is written in Python under MIT; taipy is written in Python under Apache-2.0. llama_index has attracted 16% as many forks as stars, taipy 10%. llama_index 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
| llama_index | taipy | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 19K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-26 | 2026-08-10 |
| Forks | ⑂ 8.5K | ⑂ 2.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 53K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick taipy if
- You want the taipy feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and taipy fits your workflow better
About llama_index
🗂️ LlamaIndex (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to build the best free, fast, cheap text parser in the market. ParseBench and ExtractBench represent our commitment towards open benchmarking for parsing and extraction. The company itself has undergone an evolution since when this OSS framework first launched 3 years ago in 2023. Since the early days, the framework has consisted of a…
read the full llama_index overview →
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 →
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Frequently asked questions
Is llama_index or taipy more popular?
llama_index has 52,779 GitHub stars and taipy has 19,453. llama_index has the larger community by that measure.
Are llama_index and taipy free?
Both are open source. llama_index is licensed under MIT and taipy under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and taipy?
llama_index is written in Python and taipy 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, llama_index or taipy?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose taipy if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.