head to head · open source
Cube vs redun
Cube has 20,860 GitHub stars, 2,140 forks, 1,185 open issues and last shipped today. redun has 601 stars, 52 forks, 34 open issues and last shipped 2 months ago. Cube leads on adoption by 3,371% (20,860 vs 601 stars). Cube is written in Rust under a custom or non-standard licence; redun is written in Python under Apache-2.0. Cube has attracted 10% as many forks as stars, redun 9%. Cube was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | redun | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 601 |
| License | Custom / other | Apache-2.0 |
| Written in | Rust | Python |
| Last push | 2026-09-18 | 2026-07-17 |
| Forks | ⑂ 2.1K | ⑂ 52 |
| 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 redun if
- You want the redun 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 redun 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 redun
yet another redundant workflow engine redun aims to be a more expressive and efficient workflow framework, built on top of the popular Python programming language. It takes the somewhat contrarian view that writing dataflows directly is unnecessarily restrictive, and by doing so we lose abstractions we have come to rely on in most modern high level languages (control flow, composability, recursion, high order functions, etc). redun's key insight is that workflows can be expressed as lazy expressions, which are then evaluated by a scheduler that performs automatic parallelization, caching, and data provenance logg…
read the full redun overview →
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Frequently asked questions
Is Cube or redun more popular?
Cube has 20,860 GitHub stars and redun has 601. Cube has the larger community by that measure.
Are Cube and redun free?
Both are open source. Cube has no licence declared in this registry, and redun is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Cube and redun?
Cube is written in Rust and redun 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 redun?
Choose Cube if you want the larger community (20,860 stars) or its Custom / other licence terms. Choose redun if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.