Evidence.dev helps teams build version-controlled data apps with SQL, markdown, charts, and dashboards that turn warehouse metrics into trusted reports.

Download Evidence.dev dashboard to build fast, version-controlled data products with SQL, markdown, and reusable charts. Explore Evidence.dev documentation, connect your warehouse, publish clear reports, and turn trusted metrics into interactive pages for teams and stakeholders.

Evidence.dev is an open source framework for building data applications from SQL, markdown, and reusable components. Instead of keeping analysis locked inside separate notebooks, screenshots, and disconnected reporting tools, Evidence.dev dashboard projects live in a repository where analysts and engineers can review, version, test, and publish changes together. Evidence.dev analytics workflows are especially useful for teams that want their metrics to feel as maintainable as application code.

A typical Evidence.dev business intelligence project connects to a warehouse, queries trusted models, and renders interactive pages that can be shared with stakeholders. Evidence.dev SQL keeps logic close to the content, while Evidence.dev charts and Evidence.dev reports make the final experience clear for readers who need answers quickly. For teams comparing Evidence.dev alternatives, the main appeal is the combination of developer workflow, readable markdown, and production-ready data apps.

• Repository-first dashboards: Evidence.dev dashboard work can be reviewed through pull requests, tracked with Git history, and deployed with the same discipline used for software projects.
• SQL-powered pages: Evidence.dev SQL lets analysts query warehouses directly inside markdown-driven pages, keeping business logic transparent and easier to audit.
• Interactive reporting: Evidence.dev charts, filters, tables, and layouts help transform static analysis into Evidence.dev reports that stakeholders can explore.
• Open source workflow: Evidence.dev open source projects give teams a flexible foundation for internal analytics portals, client-facing data apps, and custom reporting hubs.
• Documentation-friendly design: Evidence.dev documentation, Evidence.dev examples, and Evidence.dev tutorial resources make it easier to learn patterns for reusable components, warehouse connections, and deployment.

• Start with a small Evidence.dev dashboard that answers one important business question before expanding into a full analytics portal.
• Use Evidence.dev documentation when setting up sources, components, and deployments so project structure stays consistent from the beginning.
• Keep Evidence.dev SQL organized around clear metric definitions, and document assumptions near the visualizations that depend on them.
• Review Evidence.dev charts with end users early, because the best Evidence.dev data apps usually balance technical precision with plain-language explanations.
• Compare Evidence.dev pricing and Evidence.dev cloud options against your hosting needs if the project will serve a broad audience or require managed deployment.

Prerequisites: A working development environment, access to the data source you want to query, and familiarity with basic SQL and Git workflows.

1. Review the documentation: Begin with Evidence.dev documentation to understand project layout, supported data sources, component syntax, and deployment choices.
2. Install the framework: Follow Evidence.dev install instructions, create a starter project, and confirm the local development server renders correctly.
3. Connect your data: Add warehouse credentials or local files, then write Evidence.dev SQL queries that return the metrics your page needs.
4. Build useful pages: Combine markdown, Evidence.dev charts, tables, filters, and explanatory text to create Evidence.dev data apps that guide readers from question to answer.

• Analytics engineering teams: Evidence.dev business intelligence supports teams that already use Git, SQL, and code review to manage trusted data products.
• Data analysts building portals: Evidence.dev dashboard pages help analysts publish polished explanations, not just isolated charts or exported slides.
• Open source adopters: Evidence.dev open source is useful for organizations that want transparency, extensibility, and control over their analytics stack.
• Product and operations teams: Evidence.dev reports can turn warehouse metrics into repeatable operating reviews, customer dashboards, and executive updates.
• Developers supporting data teams: Evidence.dev GitHub workflows make it easier to collaborate on analytics changes, deployment automation, and reusable reporting patterns.

• Local server not starting? Revisit Evidence.dev install steps, confirm Node.js is available, and reinstall dependencies if the project was copied from another machine.
• Queries returning unexpected results? Check Evidence.dev SQL against the warehouse directly, then verify that filters and parameters match the intended business logic.
• Charts not matching stakeholder expectations? Review Evidence.dev charts configuration, axis formatting, grouping, and source query output before changing the page design.
• Deployment unclear? Compare Evidence.dev deployment notes, Evidence.dev cloud options, and repository settings to choose the path that matches your hosting requirements.
• Need learning material? Use Evidence.dev tutorial pages and Evidence.dev examples to study complete patterns for dashboards, reusable components, and report layouts.

Evidence.dev dashboard, Evidence.dev documentation, Evidence.dev analytics, Evidence.dev business intelligence, Evidence.dev open source, Evidence.dev SQL, Evidence.dev BI, Evidence.dev data apps, Evidence.dev charts, Evidence.dev reports, Evidence.dev tutorial, Evidence.dev GitHub, Evidence.dev examples, Evidence.dev install, Evidence.dev deployment, Evidence.dev alternatives, Evidence.dev pricing, Evidence.dev cloud