head to head · open source
llama_index vs genkit
llama_index has 52,202 GitHub stars, 8,162 forks, 770 open issues and last shipped yesterday. genkit has 6,448 stars, 842 forks, 741 open issues and last shipped yesterday. llama_index leads on adoption by 710% (52,202 vs 6,448 stars). llama_index is written in Python under MIT; genkit is written in TypeScript under Apache-2.0. llama_index has attracted 16% as many forks as stars, genkit 13%. llama_index was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agents, llm, rag, vector-database), 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 | genkit | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 6.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 8.2K | ⑂ 842 |
| 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 genkit if
- You want the genkit feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and genkit 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 genkit
Genkit is an open source framework for building full stack, agentic AI applications, offering SDKs for JavaScript/TypeScript, Go, Python, and Dart, and it is built and used in production by Google's Firebase.
read the full genkit overview →
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Frequently asked questions
Is llama_index or genkit more popular?
llama_index has 52,202 GitHub stars and genkit has 6,448. llama_index has the larger community by that measure.
Are llama_index and genkit free?
Both are open source. llama_index is licensed under MIT and genkit under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and genkit?
llama_index is written in Python and genkit 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 genkit?
Choose llama_index if you want the larger community (52,202 stars) or its MIT licence terms. Choose genkit if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.