head to head · open source
echarts vs hypertools
echarts has 67,666 GitHub stars, 19,970 forks, 1,501 open issues and last shipped 21 days ago. hypertools has 1,893 stars, 164 forks, 8 open issues and last shipped 24 days ago. echarts leads on adoption by 3,475% (67,666 vs 1,893 stars). echarts is written in TypeScript under Apache-2.0; hypertools is written in Python under MIT. echarts has attracted 30% as many forks as stars, hypertools 9%. echarts was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (data-visualization, 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.
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Side by side
| echarts | hypertools | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 1.9K |
| License | Apache-2.0 | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-10-13 | 2026-10-10 |
| Forks | ⑂ 20K | ⑂ 164 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick echarts if
- You weight community size — 68K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick hypertools if
- You want the hypertools feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and hypertools fits your workflow better
About echarts
Apache ECharts Apache ECharts is a free, powerful charting and visualization library offering easy ways to add intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender , which is a whole new lightweight canvas library. 中文官网 ENGLISH HOMEPAGE Get Apache ECharts You may choose one of the following methods: + Download from the official website + npm install echarts save + CDN: jsDelivr CDN Docs + Get Started + API + Option Manual + Examples Get Help + GitHub Issues for bug report and feature requests + Email dev@echarts.apache.org for…
read the full echarts overview →
About hypertools
" To deal with hyper planes in a 14 dimensional space, visualize a 3D space and say 'fourteen' very loudly. Everyone does it. " Geoff Hinton Overview HyperTools is designed to facilitate dimensionality reduction based visual explorations of high dimensional data. The basic pipeline is to feed in a high dimensional dataset (or a series of high dimensional datasets) and, in a single function call, reduce the dimensionality of the dataset(s) and create a plot. The package is built atop many familiar friends, including matplotlib, scikit learn and seaborn. Our package was featured in 2017 on Kaggle's now retired "No…
read the full hypertools overview →
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Frequently asked questions
Is echarts or hypertools more popular?
echarts has 67,666 GitHub stars and hypertools has 1,893. echarts has the larger community by that measure.
Are echarts and hypertools free?
Both are open source. echarts is licensed under Apache-2.0 and hypertools under MIT. Neither carries a licence fee.
What is the difference between echarts and hypertools?
echarts is written in TypeScript and hypertools 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, echarts or hypertools?
Choose echarts if you want the larger community (67,666 stars) or its Apache-2.0 licence terms. Choose hypertools if its feature set, stack or MIT licence fits better. Both are self-hostable.