All Tools¶

This page lists libraries for visualizing data in Python. If you see any missing Python tools, please open a PR for tools.yml. Tools are sorted in each category according to their total downloads per month when added to the list. Note that conda downloads are computed by summing total downloads across the defaults channel, conda-forge, and bioconda; data for other channels is not currently included. Also note that the stars, contributors, license and PyPi downloads badges are cached to prevent users to hit the badges rate limits. Since caching can fail occasionally for some PyPi downloads badges, their live counterpart is instead displayed and can be identified by their grey background.

Last updated: March 20, 2023

Core¶

Python libraries on which multiple higher-level libraries are built.

Name		Stars	Contributors	Downloads		License	Docs	PyPI	Conda	Sponsors	Built on
matplotlib
plotly.py
bokeh

High-Level Shared API¶

Libraries sharing the Pandas .plot() API, built upon the core Python or JS libraries.

Name		Stars	Contributors	Downloads		License	Docs	PyPI	Conda	Sponsors	Built on
pandas
xarray
hvplot
cufflinks										-
Pandas-Bokeh										-

High-Level¶

InfoVis Libraries focusing on high-level operations for working with data visually, built upon the core Python or JS libraries.

Name		Conda	Sponsors	Built on
altair			-
seaborn			-
holoviews
plotly_express
AutoViz	-	-	-
chartify
lets-plot	-	-		-
proplot			-
ipyvizzu			-	-
ipyvizzu-story			-	-
quibbler	-	-	-

Native-GUI¶

InfoVis Libraries targetting native-desktop GUI interfaces for interactive plots.

Name		Conda	Sponsors	Built on
matplotlib
pyqtgraph			-
glue			-
veusz			-
chaco	-	-		kiva
gr	-	-	-	-

Other InfoVis¶

InfoVis plotting libraries not fitting into other categories above.

Name	Docs	Sponsors	Built on
plotnine		-
bqplot		-	-
pygal		-	-
toyplot			-
chart	-	-	-

SciVis¶

Libraries for visualizing scientific data situated in real-world coordinates, typically using OpenGL or WebGL.

Name		Docs	Conda	Sponsors
VTK
pyvista				-
ipyvolume		-		-
vispy				-
mayavi
itkwidgets		-		-
vedo
polyscope	-		-	-
glumpy	-		-	-

Geospatial¶

Tools for working with data in geographic coordinates.

Name		Docs	Conda	Sponsors	Built on
geopandas				-
xarray
folium				-
hvplot
ipyleaflet				-
gmplot	-	-	-	-	-
cartopy
splot
geoviews
leafmap				-
geoplot				-
geoplotlib	-		-	-
gspatial_plot	-		-	-

Graphs and networks¶

Tools specifically focused on visualizing graphs (networks). Several of the other plotting libraries listed in other sections can also plot graphs, including Bokeh, HoloViews, Matplotlib, and Plotly.

Name	Downloads		License	Docs	PyPI	Conda	Sponsors	Built on
networkx							-
graphviz							-
pydot				-			-
pygraphviz							-
python-igraph							-	-
pyvis							-	-
ipycytoscape				-			-	-
pygsp							-	-
graph-tool	-		-		-		-	-
nxviz							-	-
py2cytoscape							-	-
ipydagred3				-			-
ipysigma		-		-		-	-	-
Py3Plex		-				-	-	-
webweb							-	-
netwulf		-				-	-	-

Other domain-specific¶

Tools focused on specific research or application areas other than those above.

Name		Docs	Conda	Sponsors	Built on
scikit-image				-
arviz
yellowbrick
scikit-plot				-
missingno		-		-
MetPy
napari				-
yt
hypertools	-		-	-
clustergrammer2	-		-	-
facets	-		-	-	-

Large-data rendering¶

Tools for rasterizing/aggregating data before visualization, which can make rendering faster, allow larger datasets, or make it feasible to use remote datasets (with server-side rendering).

Name	Sponsors	Built on
datashader		-
vaex		-
mpl-scatter-density	-

Dashboarding¶

Libraries for creating live Python-backed web applications or dashboards that a user can interact with to explore or analyze data.

Name		Docs	Conda	Sponsors	Built on
bokeh
gradio	-		-		-
streamlit					-
dash
panel
voila					-
wave					-
visdom				-
datapane				datapane	-
PyWebIO	-		-	-	-
taipy	-		-	-	-
ipyflex				-	-
py-shiny				rstudio	-
pynecone	-	-	-	-	-
mercury					-
bloxs	-	-	-		-
jupyter-flex	-		-	-	-
zen_dash	-	-	-	-	-