Brand Intelligence Graph
Company Overview
About Evidence.dev
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.
Business Model & Competitive Advantage
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.
Competitive Landscape 2025–2026
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.
Open Positions
Reddit Discussions
Key Differentiators
Emerging Innovator
Evidence.dev is an emerging player bringing innovative solutions to the Data & Analytics market.
Frequently Asked Questions
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