Data Analytics & Predictive Modeling
Evidence
Code-driven business intelligence and interactive data reports in markdown and SQL
Open sourceRuns in the cloudEditors pick
Pricing
Open Source
Free
Platforms
Web
Hosted app
Category
Data Analytics & Predictive Modeling
53 tools
Reviews
0
No verified reviews yet
Last updated
Oct 24
Listing updated
Best for
Version-controlled executive reports and operational dashboards
Author data reports in Markdown with SQL queries that can be reviewed, branched, and approved via Git workflows.
Pricing checked Oct 2026
User feedback
No aggregate rating verified
Explore discussions, issues, and documentation to see how this project fits your workflow.
Prother ratings come from verified reviews only.
Read Prother reviews (0) - write your ownHide Prother reviews
Reviews (0)
HONEST AND VERIFIED ONLYReview Evidence
Share real experiences on ease of use, feature power, and overall value.
About Evidence
Evidence reimagines business intelligence as software engineering. Instead of dragging and dropping widgets inside clunky point-and-click BI dashboards, Evidence allows analysts and developers to author reports as version-controlled Markdown files containing embedded SQL queries.
Every report compiles into a fast static web application powered by DuckDB-Wasm or serverless data warehouses (including Snowflake, BigQuery, DuckDB, Postgres, and Databricks). Reports can be reviewed via Git pull requests, tested in continuous integration pipelines, and deployed to static hosting providers with zero ongoing server costs.
- Git-native workflows enable automated code review and testing for data reports
- Blazing fast client-side performance powered by DuckDB-Wasm compilation
- Free and open-source core without per-seat dashboard licensing penalties
- Requires familiarity with SQL and basic Markdown syntax rather than visual drag-and-drop
- Complex writeback workflows require custom application development
Alternative to Evidence
Compare in matrix →These tools share use cases. Features, costs, and deployment needs differ.
Practical Guides & In-Depth Evaluations
More in Data Analytics & Predictive Modeling
See categoryPlatforms that turn raw data into decisions: automated forecasting, churn and risk models, CRM-native predictions, and plain-English BI copilots. Listings document how models handle messy real-world data, where they deploy (cloud or self-hosted), and what governance tooling exists for regulated teams.