head to head · open source
Cube vs docetl
Cube has 21,147 GitHub stars, 2,179 forks, 1,185 open issues and last shipped yesterday. docetl has 4,189 stars, 460 forks, 45 open issues and last shipped 4 days ago. Cube leads on adoption by 405% (21,147 vs 4,189 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 | ★ 4.2K |
| License | Custom / other | MIT |
| Written in | Rust | Python |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 2.2K | ⑂ 460 |
| 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
Website • Docs • Examples • Blog • Slack • X Cube Core is the open source semantic layer. Define metrics, dimensions, joins, and access rules once in code, then expose them through SQL, REST, and GraphQL APIs to anything downstream — BI tools, custom applications, or AI agents. Cube Core is headless: it doesn't ship a UI, so you can build the analytics experience that fits your product. Cube Core works with all SQL data sources, including cloud data warehouses like Snowflake, Databricks, and BigQuery; query engines like Presto and Amazon Athena; and application databases like Postgres. It has a built in…
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 Cube or docetl more popular?
Cube has 21,147 GitHub stars and docetl has 4,189. 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 (21,147 stars) or its Custom / other licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.