Panel: The powerful data exploration & web app framework for Python
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Updated
May 8, 2024 - Python
Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
Panel: The powerful data exploration & web app framework for Python
Rill is a tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL. BI-as-code.
VChart, more than just a cross-platform charting library, but also an expressive data storyteller.
Daily consolidated and enriched snapshots of endoflife.date
🇷🇴💹📉📊 Romanian Economic Monitor
Repo oficial de la comunidad de Hazla con Datos
Source code for https://www.datagaz.fr
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A highly specialized suite of standardized plotting routines based on the "Grammar of Graphics" framework of mapping variables to aesthetics used in 'ggplot2'. Graphics types are biased towards visualizing SomaScan (proteomic) data.
These examples on Interactive Data Visualization in the browser using Flask and D3.js are compiled with some modifications from the book "Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data" by Kyran Dale, published by O'Reilly Media in 2023.
Wikidata-based scholarly profiles
nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
A charting library streamlined for building interactive visualizations for the Qlik product suites.
Library of reusable charts based on Apache ECharts
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A python package to provide with color palettes and auxiliary tools for data visualization.
Wisteria Dataviz Library
Created by Charles Joseph Minard