head to head · open source
CocoIndex vs docetl
CocoIndex has 11,812 GitHub stars, 923 forks, 83 open issues and last shipped yesterday. docetl has 4,189 stars, 460 forks, 45 open issues and last shipped 4 days ago. CocoIndex leads on adoption by 182% (11,812 vs 4,189 stars). CocoIndex is written in Rust under Apache-2.0; docetl is written in Python under MIT. CocoIndex has attracted 8% as many forks as stars, docetl 11%. CocoIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (etl), 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
| CocoIndex | docetl | |
|---|---|---|
| GitHub stars | ★ 12K | ★ 4.2K |
| License | Apache-2.0 | MIT |
| Written in | Rust | Python |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 923 | ⑂ 460 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick CocoIndex if
- You weight community size — 12K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Rust
- You value the larger contributor base for long-term maintenance
pick docetl if
- You want the docetl feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and docetl fits your workflow better
About CocoIndex
Your agents deserve fresh context. Star us ❤️ → · · · CocoIndex turns codebases, meeting notes, inboxes, Slack, PDFs, and videos into live, continuously fresh context for your AI agents and LLM apps to reason over effectively — with minimal incremental processing. Get your production AI agent ready in 10 minutes with reliable, continuously fresh data — no stale batches, no context gap Incremental · only the delta · Any scale · parallel by default · Declarative · Python, 5 min Deutsch English Español français 日本語 한국어 Português Русский 中文 Built with CocoIndex ❤️ <img src=" alt="CocoIndex code — flagship MCP server…
read the full CocoIndex overview →
About docetl
DocETL: Declarative & Agentic Map Reduce What is DocETL · Install · Python API · YAML · DocWrangler UI · Docs What is DocETL DocETL helps you process large collections of data (structured and unstructured) with LLMs. You write each operation in natural language, e.g., "pull out every complaint in this ticket," and DocETL provides the operators you need (map, reduce, filter, and more) and orchestrates them, parallelizing work across your data, optimizes your pipeline automatically, swapping models, rewriting prompts, decomposing operations, and replacing subtasks with code wherever possible, to raise accuracy and…
read the full docetl overview →
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Frequently asked questions
Is CocoIndex or docetl more popular?
CocoIndex has 11,812 GitHub stars and docetl has 4,189. CocoIndex has the larger community by that measure.
Are CocoIndex and docetl free?
Both are open source. CocoIndex is licensed under Apache-2.0 and docetl under MIT. Neither carries a licence fee.
What is the difference between CocoIndex and docetl?
CocoIndex is written in Rust and docetl in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, CocoIndex or docetl?
Choose CocoIndex if you want the larger community (11,812 stars) or its Apache-2.0 licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.