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Evidence vs Count

AI Data Analysis tools comparison · Updated 2026

Choosing between Evidence and Count? Both are popular AI Data Analysis tools. Evidence starts at Freemium and focuses on SQL and Markdown. Count starts at Freemium and specializes in Canvas workspace. Here's a detailed side-by-side comparison to help you decide.

At a Glance

Evidence Count
Category AI Data Analysis AI Data Analysis
Pricing freemium freemium
Starting Price Freemium Freemium
Best For data-analysis, reporting, open-source data-analysis, collaboration, sql
Features 6 listed 6 listed

Evidence

Code-driven BI framework using SQL and Markdown for version-controlled reports.

AI Data Analysis freemium
Visit Evidence → Alternatives
VS

Count

Collaborative data canvas with SQL, Python, and visual analysis workflows.

AI Data Analysis freemium
Visit Count → Alternatives

Feature Comparison

Evidence Count
✓ SQL and Markdown ✓ Canvas workspace
✓ Version-controlled reports ✓ SQL and Python
✓ Static site generation ✓ Real-time collaboration
✓ Templated pages ✓ Visual node graphs
✓ Open source ✓ Data storytelling
✓ CI/CD friendly ✓ Database connectors

Pricing Comparison

Evidence

freemium

Open source is free. Cloud hosting starts at $49/mo. Teams at $99/mo.

Count

freemium

Free for individuals. Team at $50/user/mo. Enterprise custom pricing.

Pros & Cons

Evidence

Pros
  • + Code-first approach
  • + Git-friendly
  • + Fast static reports
  • + Open source
Cons
  • − Requires coding comfort
  • − Smaller community
  • − Limited interactivity

Count

Pros
  • + Unique canvas UI
  • + Great collaboration
  • + Visual data flows
  • + Free tier available
Cons
  • − Niche product
  • − Learning curve for canvas
  • − Smaller community

The Verdict

Both Evidence and Count are strong AI Data Analysis tools. Evidence stands out for Code-first approach, making it ideal if that's your priority. Count excels at Unique canvas UI, which may be more important for your workflow.

Related Topics

data-analysisreportingopen-sourcesqlcode-drivencollaborationnotebooksvisualization

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Looker
Google Cloud BI with LookML semantic layer and Gemini AI-powered analytics.
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Metabase
Open-source BI tool for self-service data exploration and dashboard building.
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Power BI Copilot
Microsoft BI with Copilot AI for natural language report creation and DAX generation.
paid vs Evidence vs Count

More Comparisons & Alternatives

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