# bqplot vs Chartify

## Key differences

- bqplot and Chartify have a similar number of GitHub stars (3.7K vs 3.7K).
- bqplot had more development activity over the last 12 months: 31 commits vs 0.
- bqplot is downloaded 107× as often on PyPI (62.6K vs 588 per week).
- Both are released under the Apache-2.0 license.
- bqplot is written primarily in TypeScript, Chartify in Python.
- bqplot is the older project: its repository was created in 2015, Chartify's in 2018.
- Chartify has had no commits since Oct 16, 2024.

| | bqplot | Chartify |
|---|---|---|
| Description | Plotting library for IPython/Jupyter notebooks. | Bokeh wrapper that makes it easy for data scientists to create charts. |
| GitHub stars | 3,693 | 3,656 |
| Commits (12 months) | 31 | 0 |
| Contributors | 60 | 19 |
| License | Apache-2.0 | Apache-2.0 |
| Language | TypeScript | Python |
| Status | Active | Inactive |
| Install | `pip install bqplot` | `pip install chartify` |

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