head to head · open source
llama_index vs Latitude
llama_index has 52,202 GitHub stars, 8,162 forks, 770 open issues and last shipped yesterday. Latitude has 4,650 stars, 391 forks, 65 open issues and last shipped yesterday. llama_index leads on adoption by 1,023% (52,202 vs 4,650 stars). llama_index is written in Python under MIT; Latitude is written in TypeScript under MIT. llama_index has attracted 16% as many forks as stars, Latitude 8%. Latitude 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 | Latitude | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 4.7K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 8.2K | ⑂ 391 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 52K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Latitude if
- You want the Latitude feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and Latitude fits your workflow better
About llama_index
LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.
read the full llama_index overview →
About Latitude
Latitude is an open source observability platform for AI agents, written in TypeScript and released under the MIT license. It lives in the AI and machine learning infrastructure ecosystem, where it targets the specific problem of agents that fail in production without a clear path from failure to fix. The project describes itself as tooling that makes AI agents self healing, and its repository topics — agent monitoring, agent observability, llm error tracing, llm observability, ai error monitor — place it squarely in the LLM observability space.
read the full Latitude overview →
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Frequently asked questions
Is llama_index or Latitude more popular?
llama_index has 52,202 GitHub stars and Latitude has 4,650. llama_index has the larger community by that measure.
Are llama_index and Latitude free?
Both are open source. llama_index is licensed under MIT and Latitude under MIT. Neither carries a licence fee.
What is the difference between llama_index and Latitude?
llama_index is written in Python and Latitude 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, llama_index or Latitude?
Choose llama_index if you want the larger community (52,202 stars) or its MIT licence terms. Choose Latitude if its feature set, stack or MIT licence fits better. Both are self-hostable.