head to head · open source
llama_index vs kitops
llama_index has 52,202 GitHub stars, 8,162 forks, 770 open issues and last shipped yesterday. kitops has 1,416 stars, 185 forks, 50 open issues and last shipped 2 days ago. llama_index leads on adoption by 3,587% (52,202 vs 1,416 stars). llama_index is written in Python under MIT; kitops is written in Go under Apache-2.0. llama_index has attracted 16% as many forks as stars, kitops 13%. 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.
← all 8884 open source comparisons
Side by side
| llama_index | kitops | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 1.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-09-17 | 2026-09-16 |
| Forks | ⑂ 8.2K | ⑂ 185 |
| 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 kitops if
- You want the kitops 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 kitops 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 kitops
KitOps is an open source DevOps tool governed by the CNCF for packaging, versioning, and securely sharing AI/ML projects. It lives in the Kubernetes AI/ML and MLOps ecosystem, and it builds on the OCI technology used by containers. A KitOps package, called a ModelKit, bundles model weights, datasets, code, and configuration into a versioned, layered artifact that can be stored in an existing container registry.
read the full kitops overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is llama_index or kitops more popular?
llama_index has 52,202 GitHub stars and kitops has 1,416. llama_index has the larger community by that measure.
Are llama_index and kitops free?
Both are open source. llama_index is licensed under MIT and kitops under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and kitops?
llama_index is written in Python and kitops 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 kitops?
Choose llama_index if you want the larger community (52,202 stars) or its MIT licence terms. Choose kitops if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.