head to head · open source
Airbyte vs aws-sdk-pandas
Airbyte has 22,303 GitHub stars, 5,431 forks, 2,395 open issues and last shipped yesterday. aws-sdk-pandas has 4,122 stars, 754 forks, 53 open issues and last shipped 2 days ago. Airbyte leads on adoption by 441% (22,303 vs 4,122 stars). Airbyte is written in Python under a custom or non-standard licence; aws-sdk-pandas is written in Python under Apache-2.0. Airbyte has attracted 24% as many forks as stars, aws-sdk-pandas 18%. Airbyte was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (data-engineering, 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
| Airbyte | aws-sdk-pandas | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 4.1K |
| License | Custom / other | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-01 |
| Forks | ⑂ 5.4K | ⑂ 754 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Airbyte if
- You weight community size — 22K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- 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 Airbyte
Open source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications We believe that only an open source solution to data movement can cover the long tail of data sources while empowering data engineers to customize existing connectors. Our ultimate vision is to help you move data from any source to any destination — whether that destination is a data warehouse, a data lake, or an AI agent. Airbyte provides a catalog of 600+ connectors for APIs, databases, data warehouses, data lakes, and AI applications. Screenshot taken from Airbyte Cloud . Pick the…
read the full Airbyte overview →
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 Airbyte or aws-sdk-pandas more popular?
Airbyte has 22,303 GitHub stars and aws-sdk-pandas has 4,122. Airbyte has the larger community by that measure.
Are Airbyte and aws-sdk-pandas free?
Both are open source. Airbyte 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 Airbyte and aws-sdk-pandas?
Airbyte is written in Python 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, Airbyte or aws-sdk-pandas?
Choose Airbyte if you want the larger community (22,303 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.