The open-source framework for building high-quality data products with SQL and Markdown.
Evidence is a pioneering 'Analytics-as-Code' framework designed for data teams who prefer developer-centric workflows over drag-and-drop BI tools. Architecturally, it functions as a static site generator (SSG) that compiles SQL queries and Markdown files into high-performance, interactive data applications. By 2026, Evidence has positioned itself as the industry standard for version-controlled reporting, leveraging an internal DuckDB-Wasm engine to enable lightning-fast, client-side data exploration without repeated database round-trips. The platform bridges the gap between raw data and polished executive reports by treating dashboards like software projects—complete with Git integration, CI/CD pipelines, and modular component libraries. This approach eliminates the 'black box' nature of traditional BI, allowing for granular audit trails, automated testing of data visualizations, and seamless embedding into existing web ecosystems. Its 2026 market position is defined by its displacement of legacy tools like Looker for teams that prioritize speed, reproducibility, and the ability to maintain dashboards using standard IDEs.
A cross-database SQL dialect that uses DuckDB to query multiple sources (databases, CSVs, Parquet) in a single statement.
The open-source BI platform that turns your dbt project into a governed, version-controlled analytics engine.
Transform raw data into real-time metrics with a powerful semantic layer and automated BI dashboards.
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
The world's most adaptable EPM platform for autonomous financial and operational planning.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Compiles data into a high-performance columnar database that runs inside the user's browser.
Uses file-based routing and Markdown templates to generate hundreds of unique pages from a single template (e.g., /customer/[id]).
Visualizations are built as reactive Svelte components, allowing for deep customization via CSS and JS.
A robust command-line interface for scaffolding projects, managing plugins, and automating builds.
Entire report structure, logic, and visualization code are stored as plain text files in Git.
Only re-runs queries and regenerates pages where the underlying data or code has changed.
Manually creating PDFs or slides for dozens of investors every month is error-prone and time-consuming.
Registry Updated:2/7/2026
Schedule automated builds.
Fragmented data across GA4, Facebook Ads, and internal CRM.
Product managers need to track feature adoption without waiting for a data analyst to update a Tableau workbook.