head to head · open source
Cube vs docetl
Cube has 20,857 GitHub stars, 2,138 forks, 1,185 open issues and last shipped yesterday. docetl has 4,097 stars, 443 forks, 45 open issues and last shipped 13 days ago. Cube leads on adoption by 409% (20,857 vs 4,097 stars). Cube is written in Rust under a custom or non-standard licence; docetl is written in Python under MIT. Cube has attracted 10% as many forks as stars, docetl 11%. Cube was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agents), 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
| Cube | docetl | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 4.1K |
| License | Custom / other | MIT |
| Written in | Rust | Python |
| Last push | 2026-09-17 | 2026-09-05 |
| Forks | ⑂ 2.1K | ⑂ 443 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Cube if
- You weight community size — 21K stars and counting
- You want the Custom / other 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 Cube
Cube Core is an open source semantic layer for AI, BI, and embedded analytics. It lives in the data analytics and data engineering ecosystem for SQL warehouses, BI tools, applications, and AI agents. It lets teams define metrics, dimensions, joins, and access rules once in code, then expose them through SQL, REST, and GraphQL APIs. It is headless and ships no user interface.
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 →
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Frequently asked questions
Is Cube or docetl more popular?
Cube has 20,857 GitHub stars and docetl has 4,097. Cube has the larger community by that measure.
Are Cube and docetl free?
Both are open source. Cube has no licence declared in this registry, and docetl is licensed under MIT. Both are free to self-host.
What is the difference between Cube and docetl?
Cube 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, Cube or docetl?
Choose Cube if you want the larger community (20,857 stars) or its Custom / other licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.