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EDA

Web application for data analysis and visualization.

github.com/jortilles/EDA

  • Analytics
  • TypeScript
  • AGPL-3.0
  • Docker
  • Actively maintained

GitHub stats

GitHub stars
205
Forks
24
Open issues
9
Commits, last 12 months
2,335
Last commit
Oct 6, 2026
Latest release
edalitics-3.1.1Jun 26, 2026
Created
Jan 2, 2020

Data from the GitHub API, refreshed daily.

About EDA

Web application for data analysis and visualization. EDA is open source under the AGPL-3.0 license and written mainly in TypeScript, so you can read the code, run it on your own hardware and keep full control of your data.

The project has 205 stars and 24 forks on GitHub, with 2,335 commits over the last year. It ships a Docker image, which makes it a good fit for a small VPS or a home server running Docker Compose.

Topics

  • analytics
  • business-intelligence
  • business-analytics
  • data-visualization
  • mcp

Repository preview

EDA repository previewjortilles/EDAOpen repository

FAQ

EDA FAQ

Still curious? Email info@appsgit.com.

What is EDA?

EDA is a free, open-source app you can host on your own server, listed in our Analytics category. Web application for data analysis and visualization. The source code lives at github.com/jortilles/EDA, where it has 205 stars.

Is EDA free and open source?

Yes. EDA is open-source software released under the AGPL-3.0 license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.

Can I run EDA with Docker?

Yes. EDA provides a Docker image, so you can run it on any Linux server with Docker and Docker Compose installed. The project README lists the image name and the environment variables to set.

What are the best alternatives to EDA?

Popular open-source alternatives to EDA include Superset, Metabase and PostHog.

Is EDA actively maintained?

The most recent commit to EDA was on Oct 6, 2026 with 2,335 commits in the past twelve months. The latest release is edalitics-3.1.1, published Jun 26, 2026. Check the open issues on GitHub to gauge how quickly maintainers respond.