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Vega Python Packages

Python packages with the GitHub topic vega. Sorted by relevance, with stars and monthly downloads.
hex-inc
vegafusion

Serverside scaling for Vega and Altair visualizations

433K 415 33
e2fyi
databricks-utils

`databricks-utils` is a python package that provide several utility classes/func that improve ease-of-use in databricks notebook.

36K 1 0
jupyterlab
jupyterlab-mathjax3

Renderers and renderer extensions for JupyterLab

35K 516 81
panel-extensions
panel-graphic-walker

A project providing a Graphic Walker Pane for use with HoloViz Panel.

10K 354 14
simonw
datasette-vega

Datasette plugin for visualizing data using Vega

5K 64 8
jupyterlab
jupyterlab-geojson

Renderers and renderer extensions for JupyterLab

5K 516 81
vegaprotocol
vega-api-client

Auto-generated API clients

5K 10 10
jupyterlab
jupyterlab-fasta

Renderers and renderer extensions for JupyterLab

3K 516 81
domoritz
streamlit-vega-lite

A Streamlit component to render interactive Vega, Vega-Lite, and Altair visualizations and access the selected data from Python

2K 92 6
jupyterlab
jupyterlab-vega3

Renderers and renderer extensions for JupyterLab

1K 516 81
jupyterlab
jupyterlab-katex

Renderers and renderer extensions for JupyterLab

992 516 81
jupyterlab
jupyterlab-mathjax2

A MathJax Typesetting provider for JupyterLab 4 and above

945 516 81
edmundmiller
altair-upset

Create interactive UpSet plots using Altair

734 10 2
kvakil
datasette-vega-dashboards

Create Vega/Vega-Lite dashboards for Datasette

634 10 0
optimdata
pybana

Python client for kibana. Provide ORM & vega rendering of visualizations

517 6 1
jupyterlab
jupyterlab-vega2

JupyterLab - Vega 2 and Vega-Lite 1 Mime Renderer Extension

401 516 81
Zsailer
phylovega

Interactive tree visualizations in Python (powered by Vega).

168 11 4
MarcSkovMadsen
panel-vegafusion

Build interactive big data apps with Altair and Vega easily using Panel + VegaFusion.

163 17 0
microsoft
sanddance

Visually explore, understand, and present your data.

98 7K 571
    • Data from PyPI, GitHub, ClickHouse, and BigQuery