ipyvizzu VS bokeh

Compare ipyvizzu vs bokeh and see what are their differences.

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ipyvizzu bokeh
7 24
916 18,700
1.2% 1.0%
9.1 9.5
about 1 month ago 7 days ago
Jupyter Notebook Python
Apache License 2.0 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.

ipyvizzu

Posts with mentions or reviews of ipyvizzu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-14.

bokeh

Posts with mentions or reviews of bokeh. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-25.

What are some alternatives?

When comparing ipyvizzu and bokeh you can also consider the following projects:

plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

seaborn - Statistical data visualization in Python

Altair - Declarative statistical visualization library for Python

matplotlib - matplotlib: plotting with Python

PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications

folium - Python Data. Leaflet.js Maps.

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

pygal - PYthon svg GrAph plotting Library

bqplot - Plotting library for IPython/Jupyter notebooks

Graphviz - Simple Python interface for Graphviz

Cartopy - Cartopy - a cartographic python library with matplotlib support

Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.