ipywidgets VS ipympl

Compare ipywidgets vs ipympl and see what are their differences.

ipywidgets

Interactive Widgets for the Jupyter Notebook (by jupyter-widgets)
jupyterlab-extension jupyter-notebooks
Source Code
ipywidgets.readthedocs.io
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ipympl

Matplotlib Jupyter Integration (by matplotlib)
jupyterlab-extension Matplotlib Interactive jupyter-widgets Ipywidgets
Source Code
matplotlib.org
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ipywidgets ipympl
6 3
3,057 1,534
0.8% 1.3%
7.5 5.6
18 days ago 21 days ago
TypeScript TypeScript
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ipywidgets

Posts with mentions or reviews of ipywidgets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-13.

ipympl

Posts with mentions or reviews of ipympl. We have used some of these posts to build our list of alternatives and similar projects.
  • Using ADTK for easy time series anomaly detection
    1 project | /r/Python | 6 Sep 2022
    I discovered this little library called ADTK that offers a sklearn-like Python API on top of statsmodels and proved to be very useful. Since I don't have a background in time series forecasting it was very useful to have a high level class that performed seasonality detection and deviations automatically. The documentation also explains the different kinds of anomalies one would want to detect, which was also very useful. And finally, it provides some nifty visualization utilities on top of matplotlib, which I combined with ipympl to have interactivity.
  • Large plots in Jupyter notebooks (in Windows)
    1 project | /r/JupyterNotebooks | 11 May 2022
    Install https://github.com/matplotlib/ipympl
  • jupyterlab interactive plot
    1 project | /r/codehunter | 4 May 2022
    JavaScript output is disabled in JupyterLab I have also tried the magic (with jupyter-matplotlib installed):

What are some alternatives?

When comparing ipywidgets and ipympl you can also consider the following projects:

dash - Data Apps & Dashboards for Python. No JavaScript Required.

ipyflex - A WYSIWYG layout editor for Jupyter widgets

streamlit - Streamlit — A faster way to build and share data apps.

nbdime - Tools for diffing and merging of Jupyter notebooks.

Flask - The Python micro framework for building web applications.

jupyterlite - Wasm powered Jupyter running in the browser 💡

reactpy - It's React, but in Python

sanic - Accelerate your web app development | Build fast. Run fast.

Vue.js - This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.

idom-dash - A custom component for Plotly Dash that uses IDOM

Django - The Web framework for perfectionists with deadlines.

ipywidgets vs dash ipympl vs ipyflex ipywidgets vs streamlit ipympl vs nbdime ipywidgets vs Flask ipympl vs jupyterlite ipywidgets vs reactpy ipywidgets vs sanic ipywidgets vs Vue.js ipywidgets vs Tornado ipywidgets vs idom-dash ipywidgets vs Django