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数据可视化
Created by Charles Joseph Minard
- Website
- Wikipedia
- 维基百科
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.
X-Ray Vision for your infrastructure!
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Apache Superset is a Data Visualization and Data Exploration Platform
Apache ECharts is a powerful, interactive charting and data visualization library for browser
The HTML5 Creation Engine: Create beautiful digital content with the fastest, most flexible 2D WebGL renderer.
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data 📊
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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.
📝 An awesome Data Science repository to learn and apply for real world problems.
Data Apps & Dashboards for Python. No JavaScript Required.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.
Turns Data and AI algorithms into production-ready web applications in no time.
Open-source JavaScript charting library behind Plotly and Dash