shouldiuse.io

VERDICT

Should I use Bokeh?

Create interactive plots, dashboards, and data applications in Python for notebooks and modern web browsers. - bokeh.org

Worth it. Buy if your team writes Python and wants free interactive charts, dashboards, or browser data apps. Skip it if you need no-code tools, GIS-grade mapping, or smooth plotting past a million points.

Confidence

Medium. Based on 12+ public sources: reviews, forum threads, official docs, and four independent security advisories. No customer logos or review-count numbers found in evidence.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualityNo support evidence in sources
  • Security posture

Pricing

Free

Open source

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes

Best for

  • Python data teams
  • Notebook-based analysis
  • Stakeholder-facing interactive dashboards
  • Browser data applications

Not for

  • Non-coders wanting drag-and-drop charts
  • Datasets over a million points
  • Full GIS-grade mapping work
  • Buyers needing vendor support contracts

Gotchas - check before you buy

high

Deployed Bokeh servers had a WebSocket hijacking flaw (CVE-2026-21883); patch to 3.8.2+

medium

Flawed hostname allowlist let attackers interact with servers on behalf of victims

medium

Open-source: no vendor SLA; you own patching, scaling, and troubleshooting

low

No security page found on the official site

Pros and cons

Pros

  • Praised for ease of use and interactive visualization output
  • Superb interactivity: intuitive pan, zoom, rescale, and hover details
  • Goes beyond static plots; stakeholders can modify views themselves
  • Effective geospatial visualization toolkit for Python
  • Scales from high-level plots to full data applications

Cons

  • Plotting becomes slow at 1M+ points
  • Weak support for adding or removing plots
  • Lack of error reporting frustrates debugging
  • Not a full-fledged GIS despite geospatial support

Sources & method

Analyzed 9/21/2026 - 12 sources - One medium-severity CVE (CVSS 5.4) disclosed Jan 2026; fixed in Bokeh 3.8.2 — patch any deployed servers.

official x2review x5security x5
  • CVE-2026-21883: Cross-Site WebSocket Hijacking via incomplete origin validation, Flawed allowlist hostname matching let attackers hijack WebSocket sessions on deployed Bokeh servers and interact on behalf of victims. Fixed in v3.8.2, released early January 2026.

Key stats

  • Value for money: 5/5

    Rating

  • Free

    Starting price

  • 12

    Sources

  • Analyzed

  • Value for money: 5/5. Free, open-source Python library
  • Ease of use: 4/5. Users consistently praise ease of use
  • Feature depth: 4/5. Plots, dashboards, apps, geospatial toolkit
  • Support quality. No support evidence in sources
  • Security posture: 2/5. Medium origin-validation CVE; patched
  • Free Price Open-source Python library
  • CVSS 5.4 Latest CVE severity Medium; fixed in v3.8.2, Jan 2026
  • ~1M points Practical scale limit Plotting becomes slow at 1M+ points

Pricing

Open source

Free

  • Interactive plots in notebooks and browsers
  • Dashboards and layouts with widgets
  • Full data applications

Security

One medium-severity CVE (CVSS 5.4) disclosed Jan 2026; fixed in Bokeh 3.8.2 — patch any deployed servers.

  • CVE-2026-21883: Cross-Site WebSocket Hijacking via incomplete origin validationFlawed allowlist hostname matching let attackers hijack WebSocket sessions on deployed Bokeh servers and interact on behalf of victims. Fixed in v3.8.2, released early January 2026.⁹

What users say

Users praise ease of use and superb interactivity, but report slow plotting at scale and weak error reporting.

“Interactivity is superb, with simple and intuitive motions to pan, zoom, rescale etc.”
Comparison blog, pauliacomi.com
“The plotting becomes slow at 1M+ points”
HoloViz Discourse forum
“Not so great support for adding/removing plots · Lack of error reporting”
HoloViz Discourse forum
Full analysis

Based on 12+ public sources: reviews, forum threads, official docs, and four independent security advisories. No customer logos or review-count numbers found in evidence.

Free, well-liked Python charting library; patch servers to v3.8.2+ for the WebSocket CVE, and expect slowdowns past 1M points.

Methodology

Based on 12+ public sources: reviews, forum threads, official docs, and four independent security advisories. No customer logos or review-count numbers found in evidence.

Sources

  1. Bokeh official sitebokeh.org
    official
  2. Bokeh security pagebokeh.org
    official
  3. Bokeh 3.8.2 patch announcementblog.bokeh.org
    security
  4. G2 reviews — Bokehg2.com
    review
  5. DataCamp — Interactive Data Visualization with Bokehdatacamp.com
    review
  6. Plotly vs. Bokeh comparisonpauliacomi.com
    review
  7. HoloViz Discourse — porting a Bokeh app to Paneldiscourse.holoviz.org
    review
  8. Bokeh for geospatial visualizationlizardtech.com
    review
  9. SentinelOne — CVE-2026-21883sentinelone.com
    security
  10. Strix — CVSS 5.4 scoringstrix.ai
    security
  11. Tenable — CVE-2026-21883 impacttenable.com
    security
  12. Safety DB — Bokeh PyPI vulnerability entrygetsafety.com
    security

Rate this review

Anonymous. You can change your vote.

Loading votes…

Comments

One queue. No nested comments. Give a display name first. Limit: 200 words per comment and 7 comments per day. You can edit or delete yours.

Save a name to write a comment.

0 / 200 words

No comments yet.