#Dataviz
Showing 60 of 92 repositories tagged #dataviz, ranked by stars
nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
An open access book on scientific visualization using python and matplotlib
A golang framework helps gopher to build a data visualization and admin panel in ten minutes
๐ฅ JavaScript Library for HTML5 canvas based heatmaps
Panel: The powerful data exploration & web app framework for Python
:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Mozaรฏk is a tool based on nodejs / react / redux / nivo / d3 to easily craft beautiful dashboards
:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
Matplotlib 3.1 cheat sheet.
The fastest business intelligence tool for humans and agents.
Library for animated data visualizations and data stories.
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
"Cyberpunk style" for matplotlib plots
graphics framework for sveltejs
An open source tool to quantify the world
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
๐๐ Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)
The most advanced amCharts charting library for JavaScript and TypeScript apps.
Circular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)
:bar_chart: :chart_with_upwards_trend:โ Robust dataviz framework implemented using D3 & typescript
A multi-page streamlit app for geospatial
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
Map drawing and topic visualization for your wiki
Code, exercises and tutorials of my personal blog ! ๐
An interactive explorer for single-cell transcriptomics data
https://keen.io/ JavaScript SDKs. Track users and visualise the results. Demo http://keen.github.io/keen-dataviz.js/
Lightweight plotting to the terminal. 4x resolution via Unicode.
An Android, JavaFx, JS multiplatform datavisualization library with comprehensive DSL
Highcharts built with proper React components
Support for jupyter notebook templates in jupyterlab
A pure Rust visualization library inspired by D3.js
โ๏ธ Easy half-half geoms in ggplot2
Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found helpful.
AI Powered Analytics
A Power BI template that provides easy to understand, actionable flow metrics and predictive analytics for your agile teams using Azure DevOps, Azure DevOps Server and/or TFS.
A declarative interactive genomics visualization library for Python.
Data Visualization Charting Library
A d3 based timeline visualization.
Earth Engine and Geemap: Geospatial Data Science with Python
Grammar of Scalable Linked Interactive Nucleotide Graphics
A charting library streamlined for building interactive visualizations for the Qlik product suites.
Applied Time Series Analysis and Forecasting
๐ The panel-highcharts package makes it easy to use HighCharts in Python, Notebooks and with HoloViz Panel.
Simple parliament plots using ggplot2
A Python package to make publication-ready but customizable coefficient plots.
A visualization of the connections between Tory politicians and companies being awarded government contracts during the pandemic.
R package ggpmisc is an extension to ggplot2 and the Grammar of Graphics
3D Data Driven Charting Library with D3 and X3D
๐ Parliament diagrams and more for ggplot2
Repository of small data analysis and visualisation projects to try out libraries and create new types of visualisations. Mostly using Python.
An Introduction to Programming in Python
ReactJS component for FusionCharts JavaScript Charting library.
Vue Component for FusionCharts JavaScript Charting Library
A web-based node editor component for plotly dash
FusionCharts JavaScript Charting library. Over 95+ charts and 1,400+ maps to choose from, with integrations available for all popular JavaScript frameworks & back-end programming languages.
Mรกs de 50 ejemplos de visualizaciones y anรกlisis de datos en Matplotlib, Pandas, Seaborn, Plotly, Bokeh y Networkx
:book: ใ่ฏใๆฐๆฎๅฏ่งๅ็ๅบ็ก็ฅ่ฏ