head to head · open source
llama_index vs matrixone
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. matrixone has 2,062 stars, 341 forks, 745 open issues and last shipped yesterday. llama_index leads on adoption by 2,460% (52,779 vs 2,062 stars). llama_index is written in Python under MIT; matrixone is written in Go under Apache-2.0. llama_index has attracted 16% as many forks as stars, matrixone 17%. matrixone was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agents), 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
| llama_index | matrixone | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 2.1K |
| License | MIT | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 8.5K | ⑂ 341 |
| 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 matrixone if
- You want the matrixone feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and matrixone 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 matrixone
Docs Official Website Research Paper English 简体中文 Connect with us: Contents ======== What is MatrixOne Get Started in 60 Seconds Tutorials & Demos Installation & Deployment Architecture Python SDK Citing MatrixOne Contributing License What is MatrixOne? MatrixOne is the industry's first database to bring Git style version control to data , combined with MySQL compatibility, AI native capabilities, and cloud native architecture. At its core, MatrixOne is a HTAP (Hybrid Transactional/Analytical Processing) database with a hyper converged HSTAP engine that seamlessly handles transactional (OLTP), analytical (OLAP)…
read the full matrixone overview →
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Frequently asked questions
Is llama_index or matrixone more popular?
llama_index has 52,779 GitHub stars and matrixone has 2,062. llama_index has the larger community by that measure.
Are llama_index and matrixone free?
Both are open source. llama_index is licensed under MIT and matrixone under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and matrixone?
llama_index is written in Python and matrixone in Go. 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 matrixone?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose matrixone if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.