Evidence treats business intelligence like software development: you write reports in Markdown with embedded SQL, version control everything in Git, and deploy static sites anywhere. The result is publication-quality dashboards that load in milliseconds and don't require a PhD in BI tool configuration to build. If you've ever wanted your data reports to feel less like a clunky enterprise dashboard and more like a well-designed website, this is it.
Main Features
- Markdown-Native Authoring: Write reports and dashboards in familiar Markdown with embedded SQL queries. No drag-and-drop, no proprietary config, just text files.
- Publication-Quality Visualizations: Responsive charts, tables, and value displays that look great on all device sizes. Output is polished enough for board decks and investor updates.
- Sub-Second Performance: In-browser data processing delivers instant interactions even on millions of records. No waiting for server round-trips on every filter change.
- Version-Controlled Analytics: Git-backed projects with code review and CI/CD deployment pipelines. Analytics infrastructure you can actually test and review.
- Parameterized Pages: Dynamic filtering, date ranges, and dropdowns for interactive data exploration. Users slice data however they want without writing queries.
- Multi-Database Connectivity: Connect to PostgreSQL, Snowflake, BigQuery, Redshift, DuckDB, and CSV files. Query across multiple sources in the same report.
- Loop-Based Report Generation: Create templated customer scorecards and portfolio views. Generate hundreds of reports from a single template automatically.
- Static Site Output: Output is a static site that can be hosted anywhere: S3, Vercel, Netlify, or embedded in existing applications. No backend server required.
Who Should Use It?
- Data Analysts Who Code: Analysts wanting a modern, scriptable alternative to drag-and-drop BI tools that treats analytics like engineering.
- Analytics Engineers: Engineers building operational reports and customer-facing data products for SaaS platforms.
- Startup Data Teams: Teams needing fast, beautiful internal dashboards without learning complex BI software or paying enterprise prices.
- Consulting Firms: Consultants delivering client-ready data reports that are version-controlled and reproducible across engagements.
- Finance and Operations Teams: Teams generating recurring board decks and investor updates from live data sources.
- Product Teams: PMs embedding analytics directly into customer-facing applications via iframe or API integration.
- Open-Source Enthusiasts: Developers preferring code-first tools with active community and transparent development over proprietary black boxes.
