Data Visualization

Microsoft’s Data Science for Beginners is a ten-week curriculum with 20 lessons for learning data science.

Backstory helps sales teams investigate pipeline questions and decide what to do next using AI revenue analysis.

OEC provides interactive visualizations that help users examine global trade data.

Aim tracks machine learning experiments and describes itself as an open-source experiment tracker.

An AI-first alternative to Jupyter, Deepnote supports Python, R, and SQL, with local IDE use, cloud collaboration, and data apps.

ChartPixel analyzes spreadsheets and survey data with AI and produces interactive charts, reports, and dashboards.

The draw.io repository contains the JavaScript client-side editor for general diagramming and whiteboarding.

Lux automatically visualizes Pandas DataFrames to support data exploration.

Highcharts provides JavaScript charting for dashboards, maps, stock data, grids, and web applications.

Hanami provides interactive plotting and charting with ClojureScript and Vega.

Redash connects to data sources so users can query, visualize, and share company data.

Matplotlib provides Python tools for creating plots and visualizations from data.

PyQtGraph provides Python graphics, data visualization, and GUI tools for scientific and engineering applications.

Drone Logbook organizes and analyzes DJI and Litchi flight logs, with plugin support for additional log formats.

Bura presents weather information through graphs and data visualizations and is described as a spiritual successor to Prognoza.

Bricks turns CSV and Excel data into dashboards and reports with AI assistance.

RDatasets.jl gives Julia users access to many datasets distributed with the R ecosystem.

pygal provides Python tools for creating charts and visualizing data in applications.

RAWGraphs is a free, open-source tool for creating data visualizations.

Bar, line, area, and scatter charts can be created with dimple, an open-source charting API for D3.js.

Visualize metrics, logs, and traces from multiple sources with Grafana, an observability and data visualization platform.

ipychart brings Chart.js plotting capabilities to Python and notebook workflows.

Chart.js is an open-source JavaScript library for drawing charts on websites.

QuickChart generates chart images through an API that can embed visualizations in emails, reports, and other platforms.