Data Visualisation And Publishing

Create static and interactive data visualisations for reports, repos, and data storytelling. Purpose-organised inventory of 60+ validated open-source tools as a head start — static figures (Matplotlib, Seaborn, ggplot2), web charts (Chart.js, ECharts, Plotly.js, ApexCharts, Highcharts), high-perf (uPlot, Perspective, Lightweight Charts), bespoke (D3, Observable Plot, Vega/Vega-Lite, visx, Victory), Python/R apps (Bokeh, Dash, Altair, Streamlit, Gradio, Shiny, D-Tale, Briefer, Preswald), storytelling (Vizzu, VChart, vue-data-ui, SandDance), graphs (G6, sigma.js, Cytoscape, Gephi, Graphviz, GoJS, 3d-force-graph, Constellation), maps (deck.gl, react-map-gl, Leaflet, MapLibre, OpenLayers, folium, react-globe.gl), mobile (fl_chart, F2), BI (Superset, Metabase, Grafana, Kibana, Redash, Chartbrew), diagrams-as-code (Mermaid, PlantUML), domain-specific (Iris, QuantInvestStrats, XCharts, BizCharts, Tablesaw).