head to head · open source

dataease vs VTable

dataease has 24,450 GitHub stars, 4,236 forks, 49 open issues and last shipped today. VTable has 3,662 stars, 486 forks, 536 open issues and last shipped today. dataease leads on adoption by 568% (24,450 vs 3,662 stars). dataease is written in Java under GPL-3.0; VTable is written in TypeScript under MIT. dataease has attracted 17% as many forks as stars, VTable 13%. dataease was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (data-analysis, data-visualization), so they are genuine substitutes rather than adjacent tools.

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 VTable ★ 3.7K category Data & Analytics

← all 20902 open source comparisons

Side by side

dataease VTable
GitHub stars ★ 24K ★ 3.7K
License GPL-3.0 MIT
Written in Java TypeScript
Last push 2026-09-20 2026-09-20
Forks ⑂ 4.2K ⑂ 486
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 VTable if

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

full VTable 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 VTable

VTable is an MIT licensed TypeScript data grid library that renders and analyses multidimensional data on canvas, built for front end developers and data teams who need tables that stay fast at millions of rows.

read the full VTable overview →

More in Data & Analytics

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

Related comparisons

godot vs pixijs mermaid vs apache-superset three-js vs pixijs supabase vs metabase mermaid vs echarts grafana vs apache-superset apache-superset vs echarts mermaid vs metabase firecrawl vs scrapy firecrawl vs crawlee browser-use vs crawl4ai browser-use vs scrapling playwright vs crawl4ai browser-use vs scrapy playwright vs scrapling crawl4ai vs scrapling mermaid vs clickhouse crawl4ai vs clickhouse scrapling vs clickhouse apache-superset vs clickhouse mermaid vs apache-pinot clickhouse vs duckdb crawl4ai vs apache-pinot scrapling vs apache-pinot

More Business Intelligence & Reporting projects

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 VTable more popular?

dataease has 24,450 GitHub stars and VTable has 3,662. dataease has the larger community by that measure.

Are dataease and VTable free?

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

What is the difference between dataease and VTable?

dataease is written in Java and VTable in TypeScript. 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 VTable?

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