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Bokeh vs Redash

Both stand on data visualization software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Bokeh

Free plan LinuxMacWeb+1

Choose Bokeh if you want a free Python library for interactive browser plots, with several options for publishing and serving them. Its volunteer-based support model may be a consideration for teams that need a different support arrangement.

Visit Bokeh

Redash

Free plan APILinuxSelf-hosted+1

Redash provides query, dashboard, and sharing tools as self-hosted software. Its former hosted service is unavailable, so plan for deployment and infrastructure if you choose it.

Visit Redash

The facts

BokehRedash
Free planYesYes
Open sourceNot publishedNot published
Runs onLinux, Mac, Web, WindowsAPI, Linux, Self-hosted, Web
Lowest paid planFree or on requestFree or on request
Plans published11
MakerNot publishedNot published
Websitebokeh.orgredash.io
On data visualization software#10 of 98#6 of 98

Bokeh: what it does well

  • Free, BSD-licensed Python library.
  • Browser plots support pan, zoom, hover, selection, and filtering.
  • Accepts a range of Python data structures and REST endpoints.
  • Plots can be saved as standalone HTML or embedded in web apps.
  • Data can be streamed or patched without replacing the full source.

What to know first

  • Support is volunteer-based.
  • Usage questions go to a public Discourse forum.
  • The project directs bug reports and feature requests to GitHub.

Redash: what it does well

  • Combines data from multiple sources in dashboards.
  • Offers scheduled result updates and alerts.
  • REST API keys can be limited to query results.
  • Supports password, Google OAuth, and SAML authentication.

What to know first

  • Hosted service shut down November 30, 2021.
  • Free option requires self-hosting.
  • Larger deployments may need separate database and Redis servers.
  • Setup guide recommends at least two Redash servers for larger deployments.

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