head to head · open source
hue vs bigquery-utils
hue has 1,411 GitHub stars, 412 forks, 32 open issues and last shipped 2 days ago. bigquery-utils has 1,312 stars, 337 forks, 64 open issues and last shipped 3 months ago. hue leads on adoption by 8% (1,411 vs 1,312 stars). hue is written in JavaScript under Apache-2.0; bigquery-utils is written in Jupyter Notebook under Apache-2.0. hue has attracted 29% as many forks as stars, bigquery-utils 26%. hue was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (data-warehouse, sql), 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
| hue | bigquery-utils | |
|---|---|---|
| GitHub stars | ★ 1.4K | ★ 1.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | JavaScript | Jupyter Notebook |
| Last push | 2026-09-18 | 2026-07-03 |
| Forks | ⑂ 412 | ⑂ 337 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick hue if
- You weight community size — 1.4K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches JavaScript
- 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 hue
Hue is an open source, Apache 2.0 licensed SQL Assistant service for databases and data warehouses, built for data analysts, data engineers, and platform teams that need a shared, browser based way to query and explore data instead of installing a separate client for every engine.
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 hue or bigquery-utils more popular?
hue has 1,411 GitHub stars and bigquery-utils has 1,312. hue has the larger community by that measure.
Are hue and bigquery-utils free?
Both are open source. hue is licensed under Apache-2.0 and bigquery-utils under Apache-2.0. Neither carries a licence fee.
What is the difference between hue and bigquery-utils?
hue is written in JavaScript 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, hue or bigquery-utils?
Choose hue if you want the larger community (1,411 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.