head to head · open source
Cube vs aws-sdk-pandas
Cube has 21,147 GitHub stars, 2,179 forks, 1,185 open issues and last shipped yesterday. aws-sdk-pandas has 4,122 stars, 754 forks, 53 open issues and last shipped 2 days ago. Cube leads on adoption by 413% (21,147 vs 4,122 stars). Cube is written in Rust under a custom or non-standard licence; aws-sdk-pandas is written in Python under Apache-2.0. Cube has attracted 10% as many forks as stars, aws-sdk-pandas 18%. 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 | aws-sdk-pandas | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 4.1K |
| License | Custom / other | Apache-2.0 |
| Written in | Rust | Python |
| Last push | 2026-11-02 | 2026-11-01 |
| Forks | ⑂ 2.2K | ⑂ 754 |
| 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 aws-sdk-pandas if
- You want the aws-sdk-pandas 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 aws-sdk-pandas 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 aws-sdk-pandas
AWS SDK for pandas (awswrangler) Pandas on AWS Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). An AWS Professional Service open source initiative aws proserve opensource@amazon.com ⚠️ Starting version 3.0, optional modules must be installed explicitly: ➡️ pip install 'awswrangler[redshift]' Table of contents Quick Start At Scale Read The Docs Getting Help Logging Quick Start Installation command: pip install awswrangler ⚠️ Starting version 3.0…
read the full aws-sdk-pandas overview →
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Frequently asked questions
Is Cube or aws-sdk-pandas more popular?
Cube has 21,147 GitHub stars and aws-sdk-pandas has 4,122. Cube has the larger community by that measure.
Are Cube and aws-sdk-pandas free?
Both are open source. Cube has no licence declared in this registry, and aws-sdk-pandas is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Cube and aws-sdk-pandas?
Cube is written in Rust and aws-sdk-pandas 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 aws-sdk-pandas?
Choose Cube if you want the larger community (21,147 stars) or its Custom / other licence terms. Choose aws-sdk-pandas if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.