# Evidence.dev

**Source:** https://geo.sig.ai/brands/evidencedev  
**Vertical:** Data & Analytics  
**Subcategory:** Code-Based BI  
**Tier:** Emerging  
**Website:** evidence.dev  
**Last Updated:** 2026-04-14

## Summary

Open-source BI framework for building data reports and dashboards as code using SQL and Markdown, enabling version-controlled, developer-native analytics publishing.

## Company Overview

Evidence.dev is an open-source business intelligence framework founded in 2021 that takes a fundamentally different approach to reporting: instead of drag-and-drop dashboards, Evidence lets data teams write reports using SQL and Markdown in a code editor, then compiles them into fast, shareable static sites. This developer-native workflow treats reports as code — version-controlled in Git, reviewed in pull requests, and deployed through CI/CD pipelines — aligning data reporting with modern software engineering practices that data engineers already follow.

The framework integrates natively with dbt, the dominant data transformation tool, allowing Evidence reports to reference dbt models and metrics directly. Reports render as responsive web applications with interactive charts and filterable tables, without requiring a running server or BI platform subscription. Evidence supports all major data sources including BigQuery, Snowflake, Redshift, DuckDB, and Postgres through a connector plugin system, and its templating syntax allows parameterized reports that update dynamically based on URL parameters or user inputs.

Evidence has gained significant traction in the modern data stack community, particularly among analytics engineers who already work in dbt and prefer code-based workflows over GUI tools. The project is open-source under an MIT license and has a growing contributor community, while the company offers a managed cloud hosting service for teams that want Evidence's developer-native reporting experience without managing static site infrastructure. Its positioning — reports as code, deployed like software — is a natural fit for data teams that value reproducibility, auditability, and collaboration over point-and-click dashboard builders.

## Frequently Asked Questions

### Does Evidence.dev require a running server to display reports?
No, Evidence compiles reports into static sites that can be hosted anywhere — including Netlify, Vercel, or GitHub Pages — without a running server or BI backend.

### What is Evidence.dev and who uses it?
Evidence.dev is an open-source, code-based BI framework that lets analysts build data-driven reports and dashboards using Markdown and SQL. It is used by data teams who prefer version-controlled, text-based workflows over drag-and-drop tools.

### What databases does Evidence.dev support?
Evidence.dev supports BigQuery, Snowflake, Redshift, DuckDB, PostgreSQL, MySQL, SQLite, ClickHouse, Trino, and more via its plugin system. Queries are written directly in Markdown files.

### How does Evidence.dev handle deployment?
Evidence.dev generates a static website from your Markdown and SQL files, which can be deployed to any static host—Vercel, Netlify, GitHub Pages, or your own server—making it fast and inexpensive to host.

### Is Evidence.dev free to use?
The core Evidence.dev framework is fully open-source and free. Evidence Cloud, its managed hosting product, is available with team collaboration features and production SLAs.

### Can non-engineers use Evidence.dev?
Evidence.dev is primarily for data engineers and analysts comfortable with SQL and Markdown. Non-technical users interact with the published reports but typically cannot modify them without writing code.

### How does Evidence.dev compare to Metabase or Superset?
Unlike Metabase or Superset, Evidence.dev is entirely code-based with no GUI query builder. This makes it ideal for git-based workflows, CI/CD, and treating analytics as software.

### Does Evidence.dev support real-time data?
Evidence.dev primarily targets batch-refresh reporting. Dashboards pull data at build time or on page load from connected databases, making it suitable for daily or hourly refresh cycles rather than sub-second streaming.

## Tags

analytics, open-source, saas, b2b, startup, platform, developer-tools, data-warehouse, api-first

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*