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.

hue ★ 1.4K bigquery-utils ★ 1.3K category Data & Analytics

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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

full hue profile →

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

full bigquery-utils profile →

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.

read the full hue 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 →

More in Data & Analytics

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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.