head to head · open source
CocoIndex vs sycamore
CocoIndex has 11,572 GitHub stars, 900 forks, 83 open issues and last shipped yesterday. sycamore has 608 stars, 72 forks, 57 open issues and last shipped 2 months ago. CocoIndex leads on adoption by 1,803% (11,572 vs 608 stars). CocoIndex is written in Rust under Apache-2.0; sycamore is written in Python under Apache-2.0. CocoIndex has attracted 8% as many forks as stars, sycamore 12%. CocoIndex was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, 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 | sycamore | |
|---|---|---|
| GitHub stars | ★ 12K | ★ 608 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Python |
| Last push | 2026-09-17 | 2026-08-01 |
| Forks | ⑂ 900 | ⑂ 72 |
| 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 sycamore if
- You want the sycamore feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and sycamore fits your workflow better
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 sycamore
Sycamore is an open source, AI powered document processing engine for ETL, RAG, LLM based applications, and analytics on unstructured data. Sycamore can partition and enrich a wide range of document types including reports, presentations, transcripts, manuals, and more. It can analyze and chunk complex documents such as PDFs and images with embedded tables, figures, graphs, and other infographics. Check out an example notebook. For processing documents, Sycamore leverages Aryn DocParse (formerly known as the Aryn Partitioning Service), a serverless, GPU powered API for segmenting and labeling documents, doing OCR…
read the full sycamore overview →
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Frequently asked questions
Is CocoIndex or sycamore more popular?
CocoIndex has 11,572 GitHub stars and sycamore has 608. CocoIndex has the larger community by that measure.
Are CocoIndex and sycamore free?
Both are open source. CocoIndex is licensed under Apache-2.0 and sycamore under Apache-2.0. Neither carries a licence fee.
What is the difference between CocoIndex and sycamore?
CocoIndex is written in Rust and sycamore 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 sycamore?
Choose CocoIndex if you want the larger community (11,572 stars) or its Apache-2.0 licence terms. Choose sycamore if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.