head to head · open source

dataease vs DeepBI

dataease has 24,450 GitHub stars, 4,236 forks, 49 open issues and last shipped today. DeepBI has 2,383 stars, 370 forks, 71 open issues and last shipped 23 days ago. dataease leads on adoption by 926% (24,450 vs 2,383 stars). dataease is written in Java under GPL-3.0; DeepBI is written in Python under MIT. dataease has attracted 17% as many forks as stars, DeepBI 16%. dataease was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

dataease ★ 24K DeepBI ★ 2.4K category Data & Analytics

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Side by side

dataease DeepBI
GitHub stars ★ 24K ★ 2.4K
License GPL-3.0 MIT
Written in Java Python
Last push 2026-09-20 2026-08-28
Forks ⑂ 4.2K ⑂ 370
Self-hosting Yes Yes
Data ownership Your server Your server

pick dataease if

  • You weight community size — 24K stars and counting
  • You want the GPL-3.0 license terms
  • Your stack matches Java
  • You value the larger contributor base for long-term maintenance

full dataease profile →

pick DeepBI if

  • You want the DeepBI feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and DeepBI fits your workflow better

full DeepBI profile →

About dataease

DataEase is an open source business intelligence and data visualization tool, written in Java and licensed under GPL 3.0, built for analysts and business teams who want to explore data and build charts by clicking and dragging rather than by writing code.

read the full dataease overview →

About DeepBI

DeepBI is an open source Python AI native data analysis platform in the business intelligence and data analytics ecosystem. It uses large language models to help users explore, query, visualize, and share data from connected sources. The MIT licensed project presents itself as a conversational data scientist for data driven decisions.

read the full DeepBI overview →

More in Data & Analytics

Browser Use ★ 115K Mermaid ★ 90K Crawl4AI ★ 84K Scrapling ★ 82K Apache Superset ★ 75K echarts ★ 67K

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Compare either of these against the rest of the Business Intelligence & Reporting field.

dataease vs Mermaid dataease vs Apache Superset dataease vs echarts dataease vs Metabase dataease vs pixijs dataease vs diagram-design dataease vs Redash dataease vs dash dataease vs plotly.js dataease vs deck.gl dataease vs G6 dataease vs sigma.js

Frequently asked questions

Is dataease or DeepBI more popular?

dataease has 24,450 GitHub stars and DeepBI has 2,383. dataease has the larger community by that measure.

Are dataease and DeepBI free?

Both are open source. dataease is licensed under GPL-3.0 and DeepBI under MIT. Neither carries a licence fee.

What is the difference between dataease and DeepBI?

dataease is written in Java and DeepBI in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, dataease or DeepBI?

Choose dataease if you want the larger community (24,450 stars) or its GPL-3.0 licence terms. Choose DeepBI if its feature set, stack or MIT licence fits better. Both are self-hostable.