Data Visualization

Python packages that allow you to visualize data.

Package Bokeh Dash Matplotlib Seaborn Plotly.py Altair ggplot bqplot pygal VisPy missingno geoplotlib awesome-dash PyGraphviz Leather Gleam plotnine PyQtGraph
Package Bokeh Dash Matplotlib Seaborn Plotly.py Altair ggplot bqplot pygal VisPy missingno geoplotlib awesome-dash PyGraphviz Leather Gleam plotnine PyQtGraph
Description Interactive Data Visualization
in the browser, from Pyt...
Analytical Web Apps for Python
& R. No JavaScript Required.
matplotlib: plotting with
Python
Statistical data visualization
using matplotlib
An open-source, interactive
graphing library for Python
:sparkles:
Declarative statistical
visualization library for
Python
ggplot port for python Plotting library for
IPython/Jupyter notebooks
PYthon svg GrAph plotting
Library
Main repository for Vispy Missing data visualization
module for Python.
python toolbox for visualizing
geographical data and making
maps
A curated list of awesome Dash
(plotly) resources
Python interface to Graphviz
graph drawing package
Python charting for 80% of
humans.
Creating interactive
visualizations with Python
A grammar of graphics for
Python based on ggplot2.
Interactive and realtime
2D/3D/Image plotting and
science/engineering widgets.
CategoryInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable PackageInstallable Package
# Using This000000000000000000
Python 3?
Development Status Unknown Production/Stable Production/Stable Unknown Production/Stable Production/Stable Beta n/a Beta Alpha Unknown Unknown n/a Beta Alpha Unknown n/a n/a
Last updated Jan. 16, 2020, 11:12 p.m. Jan. 14, 2020, 12:13 p.m. Sept. 19, 2019, 3:52 p.m. Sept. 7, 2019, 2:22 p.m. Sept. 12, 2019, 3:46 p.m. Jan. 13, 2020, 8:44 p.m. Nov. 20, 2016, 4:37 p.m. Jan. 17, 2020, 1:47 p.m. July 17, 2018, 11:12 a.m. Sept. 16, 2019, 1:55 p.m. July 9, 2019, 11:57 a.m. May 6, 2019, 3:06 a.m. Jan. 16, 2020, 10:51 p.m. April 12, 2019, 12:48 a.m. Nov. 30, 2016, 10:08 p.m. April 10, 2014, 8:03 a.m.
Version1.4.01.8.03.1.20.9.04.4.14.0.10.1.2n/a2.4.00.6.40.4.20.3.2n/a1.50.3.30.1.2n/an/a
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