Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
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Apache Superset is a Data Visualization and Data Exploration Platform
The flexible backend for all your projects 🐰 Turn your DB into a headless CMS, admin panels, or apps with a custom UI, instant APIs, auth & more.
Data Apps & Dashboards for Python. No JavaScript Required.
Automatically generates beautiful and easy-to-read ER diagrams from your database.
Radzen Blazor is the most sophisticated free UI component library for Blazor, featuring 155+ native components including DataGrid, Scheduler, Charts, and advanced theming with full support for Material Design and Fluent UI. If Radzen Blazor is useful to you, a ⭐ on GitHub helps other Blazor developers find it.
Open-source reporting platform to build and share live dashboards from APIs, SQL and NoSQL databases, with powerful AI assistant, scheduling, and embeddable charts 📈📊
Finished, accessible charts that any page, and any agent, can add with one script tag or one validated JSON config.
Composable SVG map charts for data visualization in React
App to easily query, script, and visualize data from every database, file, and API.
An easy-to-use BI server built for SQL lovers. Power data analysis in SQL and gain faster business insights.
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alternative to Google Analytics, MixPanel, Plausible, Umami & Matomo.
No-code in the front, Python in the back. An open-source framework for creating data apps.
Server-side D3 for static chart/map generation ✨📊
This library packages the well-known charting library plotly.js into a razor component that can be used in a Blazor project.
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
Analytical Django Apps. No JavaScript Required.
Discover your unique music story. Explore your top tracks, artists, genres, and musical eras.