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HoloViz

COLLECTIVE
Open source
visualization
python
community
bokeh
matplotlib
plotly
datashader
holoviews
hvplot
panel
colorcet
param
lumen
geoviews
Fiscal Host: NumFOCUS

HoloViz provides a set of Python packages that make viz easier, more accurate, and more powerful

This is HoloViz's pageHoloViz
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Support the following initiatives from HoloViz.

Project
2024 SDG R3
Enhancing hvPlot Documentation: Improving Accessibility, Streamlining Integration, and Supporting...

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SDG - 2023 Round 3
Revitalizing the HoloViz Website for Enhanced Learning and Community Engagement

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1
NumFOCUS

$1,016 USD since Apr 2023

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Moth Nym

$5 USD since Mar 2025

HoloViz is all of us

Our contributors 10

Thank you for supporting HoloViz.

Budget

Transparent and open finances.

Payment invoice

Debit from 2024 SDG R3 to Simon Hansen •

-$900.00USD
Paid
Payment invoice

Debit from 2024 SDG R3 to Isaiah Akorita •

-$925.00USD
Paid

Payment Invoice

from Isaiah Akorita to 2024 SDG R3 •
-$750.00 USD
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Today’s balance

$256.72 USD

Total raised

$1,020.53 USD

Total disbursed

$763.81 USD

Estimated annual budget

$5.00 USD

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Join the HoloViz community

Published on June 9, 2023 by James A. Bednar

Welcome to HoloViz! The HoloViz community hosts short chats on Discord and longer and more detailed posts at...

About

HoloViz is a set of high-level tools that make it easier to use Python plotting libraries with your data. HoloViz tools include:
  • Panel: easily build powerful web apps using any plotting library or other visual content
  • hvPlot: Use the .plot() interface you already know from Pandas to generate powerful interactive plots
  • HoloViews: hvPlot is a data-science wrapper building on HoloViews, and if you need more features, more customizability, or want to build plotting support into your simulator or analytics package, use HoloViews
  • GeoViews: HoloViz tools are all general purpose, domain independent, except that GeoViews provides special support for anyone needing to project data in Earth-centered coordinates onto a flat screen for display
  • Datashader: Accurate server-side rendering for even the largest datasets, making it simple to work with enormous remote datasets from any web browser
  • Param: Everything in HoloViz builds on Param's support for configurable, modular Python; if you are running a big project like Panel or HoloViews, be sure to consider building on Param so you can stay sane!
  • Colorcet: Perceptually accurate monotonic or categorical colormaps for use with any plotting tool
  • Lumen: Python-extensible low-code and no-code data exploration and building web apps, so that everyone on your team can share in the wealth of Python tools for visualization and dashboarding!
All of these tools build on Python's rich ecosystem of data and analytics libraries, making it easy for you to apply them to your own work.

Our team

ArlissC

Admin

NumFOCUS Finance

Admin

Nicole Foster

Admin

Savannah Simons

Admin

James A. Bednar

Admin

Philipp Rudiger

Admin

Miriam Mueller

Admin

Chervonne Rogers

Admin