All Tools¶

This page lists OSS 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 (pypi + conda) 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 hitting the badges rate limits. Caching fails occasionally for some PyPi downloads badges, in which case their live counterpart is instead displayed (identified by a grey background).

Last updated: December 16, 2024

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		Docs	Conda	Sponsors	Built on
altair				-
seaborn				-
AutoViz	-		-	-
holoviews
plotly_express
lets-plot	-		-		-
perspective				-	-
chartify
proplot				-
ipyvizzu				-	-
ipyvizzu-story				-	-
quibbler	-		-	-
omniplot		-		-	-
marsilea				-

Native-GUI¶

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

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

Other InfoVis¶

InfoVis plotting libraries not fitting into other categories above.

Name		Docs	Conda	Sponsors	Built on
plotnine				-
pygal				-	-
bqplot				-	-
toyplot					-
chart		-		-	-
jupyter-scatter	-		-	-

SciVis¶

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

Name	Downloads		License	Docs	PyPI	Conda	Sponsors
VTK
pyvista							-
vispy							-
ipyvolume				-			-
mayavi
vedo
itkwidgets				-			-
polyscope		-				-	-
glumpy		-				-	-
datoviz	-		-		-		-

Geospatial¶

Tools for working with data in geographic coordinates.

Name		Docs	Conda	Sponsors	Built on
geopandas				-
xarray
folium				-
hvplot
ipyleaflet				-
kepler.gl	-		-	-	-
cartopy
osmnx	-		-	-	-
gmplot	-	-	-	-	-
geemap	-		-	-	-
leafmap				-
lets-plot	-		-		-
splot
geoplot				-
pyrosm	-		-	-	-
geoviews
pygmt				-
geoplotlib	-		-	-
eomaps				-	cartopy
mapwidget	-		-	-	-
gspatial_plot	-		-	-
geovista				-

Graphs and networks¶

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

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

Table display¶

Tools for displaying and potentially interacting with data displayed as tables. Data libraries like Pandas and Polars also display tables, as do most dashboarding tools (e.g. Panel includes the Tabulator JS library for interactive tables).

Name		Docs	Conda	Sponsors	Built on
itables				-	-
perspective				-	-
great-tables					-
pygwalker				-	-
ipydatagrid		-		-	-
buckaroo	-		-	-	-
quak	-		-	-	-
reactable-py	-		-	-	-

Other domain-specific¶

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

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

Large-data rendering¶

Tools for visualizing especially large datasets, e.g. by automatic subsampling, dynamic aggregation, server-side rasterization, or dynamic colormapping

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

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
gradio					-
bokeh
streamlit				snowflake	-
dash
panel
marimo					-
voila					-
visdom				-
nicegui					-
trame				Kitware	-
reacton					-
solara					-
py-shiny					-
wave	-		-		-
datapane				datapane	-
weave	-		-		-
reflex	-		-		-
zen_dash	-	-	-	-	-
mesop	-	-	-	Google	-
vizro				McKinsey	-
PyWebIO	-		-	-	-
taipy	-		-		-
mercury					-
pyvibe	-	-	-	-	-
jupyter-flex	-		-	-	-
fasthtml	-		-	-	-
dara	-		-	-	-
ipyflex				-	-
streamsync	-		-	-	-
nitro	-	-	-		-
bloxs	-	-	-		-
hyperdiv	-		-	-	-
starfyre	-	-	-	-	-
vois	-		-	-	-
chalk-it	-		-	-	-
manganite	-	-	-	-
DataStack	-	-	-	-	-
briefer	-	-	-	-	-