head to head · open source
seaweedfs vs bigquery-utils
seaweedfs has 34,819 GitHub stars, 3,002 forks, 772 open issues and last shipped yesterday. bigquery-utils has 1,312 stars, 337 forks, 64 open issues and last shipped 3 months ago. seaweedfs leads on adoption by 2,554% (34,819 vs 1,312 stars). seaweedfs is written in Go under Apache-2.0; bigquery-utils is written in Jupyter Notebook under Apache-2.0. seaweedfs has attracted 9% as many forks as stars, bigquery-utils 26%. seaweedfs 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
| seaweedfs | bigquery-utils | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 1.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Jupyter Notebook |
| Last push | 2026-09-18 | 2026-07-03 |
| Forks | ⑂ 3.0K | ⑂ 337 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick seaweedfs if
- You weight community size — 35K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick bigquery-utils if
- You want the bigquery-utils feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Jupyter Notebook
- You evaluated both and bigquery-utils fits your workflow better
About seaweedfs
SeaweedFS is an Apache 2.0 distributed storage system written in Go that serves an S3 compatible object store, a POSIX file system, and Iceberg lakehouse tables from one weed binary, built for storing and serving billions of files with O(1) disk access.
read the full seaweedfs overview →
About bigquery-utils
Useful scripts, UDFs, views, notebooks, dashboards, and other utilities for migrating to and operating a data warehouse in Google BigQuery, aimed at data engineers, analytics engineers, and migration teams working on Google Cloud Platform.
read the full bigquery-utils overview →
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Frequently asked questions
Is seaweedfs or bigquery-utils more popular?
seaweedfs has 34,819 GitHub stars and bigquery-utils has 1,312. seaweedfs has the larger community by that measure.
Are seaweedfs and bigquery-utils free?
Both are open source. seaweedfs is licensed under Apache-2.0 and bigquery-utils under Apache-2.0. Neither carries a licence fee.
What is the difference between seaweedfs and bigquery-utils?
seaweedfs is written in Go and bigquery-utils in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, seaweedfs or bigquery-utils?
Choose seaweedfs if you want the larger community (34,819 stars) or its Apache-2.0 licence terms. Choose bigquery-utils if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.