Head-to-head · Data Visualization Software
Plotly vs Kibana
Plotly leads on 0 checks, Kibana on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scorePlotly · 8.6/10
- Free planboth
- Free trialonly Kibana
- Most featuresPlotly · 2 of 2
Plotly scores higher on our rubric for data visualization software: 8.6 against 8.5 out of 10; our editors rank them #6 and #7.
On platform, Plotly gives you Web_and_desktop where Kibana offers Web.
Plotly is the better fit for developers building interactive visual apps. Kibana is the better fit for observability data visualization teams.
- Plotly fits best
Developers building interactive visual apps
- Kibana fits best
Observability data visualization teams
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Side by side
| Feature | Plotly 8.6/10 Visit ↗ | Kibana 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.6 | 8.5 |
| Ranking | #6 in Data Visualization Software | #7 in Data Visualization Software |
| Best for | Developers building interactive visual apps | Observability data visualization teams |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $290/seat/yr | $99/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | 14 days |
| Deployment | Cloud, Self-hosted, Desktop | Cloud, Self-hosted |
| Platforms | Web, Windows, macOS | Web |
| Support | Tickets, Docs, Email | Community, Docs · 24/7 |
| Integrations | 20 integrations | 12 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Plotly 2/2 · Kibana 1/2 | ||
| Scheduled refresh | ✓ (best) | Not checked yet |
| Embedded dashboards | ✓ | ✓ |
| Specs | ||
| Dashboard type | Interactive | Interactive |
| Data sources | Snowflake, Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, MotherDuck, Oracle, CSV, and anything Python can connect to | Elasticsearch, Elastic Agent, Logstash, Beats, OpenTelemetry, APIs, AWS, Microsoft Azure, Google Cloud, Amazon S3, Amazon ECS, web content, files, logs, metrics, traces, and events |
| Viewer limit | 10 viewers | Not checked yet |
| Platform | Web_and_desktop | Web |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Plotly is a suite of open-source graphing libraries and data application tools for developers, data scientists, engineers, analysts, researchers, and organizations building interactive visualizations. Its scope includes Python and… Read the review → |
Kibana is an open-source web interface for querying, analyzing, visualizing, and managing Elasticsearch data. It suits observability data visualization teams that need interactive dashboards, exploration tools, maps, alerts, reporting, and… Read the review → |
Strengths and trade-offs
Plotly — where it wins
- 70+ chart and trace types with rich interactive controls
- Open-source libraries plus Dash and self-hosted deployment
- Broad notebook, cloud, database, and app-platform integrations
Where it doesn't
- The suite spans several products rather than one packaged application
- Enterprise governance is narrower than dedicated BI platforms
- Plotly-branded apps are part of the Free plan
Kibana — where it wins
- Interactive dashboards combine charts, metrics, maps, tables, and filters.
- No-code anomaly detection, alerting, reporting, and dashboard embedding.
- Free self-managed option plus Elastic Cloud Hosted deployment choices.
Where it doesn't
- Self-managed deployments require operating the Elastic Stack.
- Many advanced capabilities begin on higher paid tiers.
- Its strongest fit depends on Elasticsearch-centered data workflows.
- Plotly8.6/10 · Free plan
A flexible choice for developers building interactive charts, maps, dashboards, and data apps.
Visit PlotlyFull verdict → - Kibana8.5/10 · Free plan · 14-day trial
A strong choice for interactive observability dashboards, maps, alerts, and Elasticsearch exploration.
Visit KibanaFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





