head to head · open source
llama_index vs kitops
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. kitops has 1,439 stars, 188 forks, 50 open issues and last shipped yesterday. llama_index leads on adoption by 3,568% (52,779 vs 1,439 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%. kitops 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 | kitops | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 1.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 8.5K | ⑂ 188 |
| 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 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 (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 kitops
KitOps: Standards based packaging & versioning for AI/ML projects Table of Contents What is KitOps? Try KitOps How Teams Use KitOps KitOps Architecture Security and Compliance KitOps by Role Integrations Community and Support What is KitOps? KitOps is a CNCF open source tool for packaging, versioning, and securely sharing AI/ML projects. Built on the same OCI (Open Container Initiative) technology that underlies containers, KitOps packages everything your model needs for development or production into a versioned and layered artifact stored in your existing container registry. It integrates with all your AI/ML…
read the full kitops overview →
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Frequently asked questions
Is llama_index or kitops more popular?
llama_index has 52,779 GitHub stars and kitops has 1,439. 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 (52,779 stars) or its MIT licence terms. Choose kitops if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.