# bqplot vs pyecharts

## Key differences

- pyecharts has 4.3× as many GitHub stars as bqplot (15.8K vs 3.7K).
- bqplot had more development activity over the last 12 months: 31 commits vs 1.
- pyecharts is downloaded 3.2× as often on PyPI (197.8K vs 62.6K per week).
- bqplot is licensed under Apache-2.0; pyecharts under MIT.
- bqplot is written primarily in TypeScript, pyecharts in Python.
- bqplot is the older project: its repository was created in 2015, pyecharts's in 2017.

| | bqplot | pyecharts |
|---|---|---|
| Description | Plotting library for IPython/Jupyter notebooks. | Python binding for Echarts library. |
| GitHub stars | 3,693 | 15,782 |
| Commits (12 months) | 31 | 1 |
| Contributors | 60 | 39 |
| License | Apache-2.0 | MIT |
| Language | TypeScript | Python |
| Status | Active | Maintained |
| Install | `pip install bqplot` | `pip install pyecharts` |

Source: https://awesomedataviz.com/compare/bqplot-vs-pyecharts/ · Data updated 2026-11-01 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).