head to head · open source

CocoIndex vs docetl

CocoIndex has 11,566 GitHub stars, 899 forks, 83 open issues and last shipped 2 days ago. docetl has 4,097 stars, 443 forks, 45 open issues and last shipped 13 days ago. CocoIndex leads on adoption by 182% (11,566 vs 4,097 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.

CocoIndex ★ 12K docetl ★ 4.1K category Data & Analytics

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Side by side

CocoIndex docetl
GitHub stars ★ 12K ★ 4.1K
License Apache-2.0 MIT
Written in Rust Python
Last push 2026-09-16 2026-09-05
Forks ⑂ 899 ⑂ 443
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

full CocoIndex profile →

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

full docetl profile →

About CocoIndex

CocoIndex is an open source incremental data transformation engine for AI workloads, built in Rust with a Python interface and positioned in the data engineering, ETL, indexing, and AI agent ecosystem. It turns codebases, meeting notes, inboxes, Slack, PDFs, and videos into continuously fresh context for AI agents and LLM applications.

read the full CocoIndex overview →

About docetl

DocETL is a Python system for agentic LLM powered data processing and ETL. It lives in the data engineering and document processing ecosystem, where pipelines must turn structured records and unstructured documents into queryable tables. Users describe each operation in natural language, and DocETL provides operators such as map, reduce, and filter, then orchestrates them across the data.

read the full docetl overview →

More in Data & Analytics

Mermaid ★ 90K Crawl4AI ★ 84K Scrapling ★ 82K Apache Superset ★ 75K echarts ★ 67K scrapy ★ 64K

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Frequently asked questions

Is CocoIndex or docetl more popular?

CocoIndex has 11,566 GitHub stars and docetl has 4,097. 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 (11,566 stars) or its Apache-2.0 licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.