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rstudio avatar

rstudio/py-shiny

0
View on GitHub↗
shiny.posit.co/py↗

Py Shiny

Shiny for Python

Features

  • Dashboards - Web application framework for Python.

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1,757 stars·138 forks·Python·MIT·11 views

Star history

Star history chart for rstudio/py-shinyStar history chart for rstudio/py-shiny

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does rstudio/py-shiny do?

Shiny for Python

What are the main features of rstudio/py-shiny?

The main features of rstudio/py-shiny are: Dashboards.

Which projects share features with rstudio/py-shiny?

Projects with overlapping indexed features include: apache/superset — Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive… facebookresearch/visdom — Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports… mljar/mercury — Mercury is a framework for transforming Jupyter notebooks into interactive web applications, a notebook execution API,… quantstack/voila — Voilà turns Jupyter notebooks into standalone web applications. streamlit/streamlit — Streamlit is a Python framework designed to transform data scripts into interactive web applications. It utilizes a… voila-dashboards/voila-gridstack — Dashboard template for Voilà based on GridStackJS.

Projects sharing features with Py Shiny

These projects share indexed features with Py Shiny. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • apache/supersetapache avatar

    apache/superset

    75,449View on GitHub↗

    Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive dashboarding. It functions as a query-driven analytics engine that connects to various SQL databases, allowing users to perform ad-hoc analysis, define virtual metrics, and build complex data visualizations through a centralized interface. The platform distinguishes itself through a robust semantic layer that transforms raw database schemas into calculated columns and virtual metrics, enabling consistent business logic across an organization. It features a plugin-based visualiz

    Pythonanalyticsapacheapache-superset
    View on GitHub↗75,449
  • facebookresearch/visdomfacebookresearch avatar

    facebookresearch/visdom

    10,319View on GitHub↗

    Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev

    Python
    View on GitHub↗10,319
  • mljar/mercurymljar avatar

    mljar/mercury

    4,358View on GitHub↗

    Mercury is a framework for transforming Jupyter notebooks into interactive web applications, a notebook execution API, and a static site generator. It functions as a self-hosted application server that allows users to deploy password-protected notebooks as functional user interfaces without writing frontend code. The system distinguishes itself by mapping notebook widgets to a reactive web interface and synchronizing live application sessions across multiple users in real time. It enables remote execution of notebooks via an API to retrieve computation results as structured data and supports

    Pythondata-sciencedata-visualizationjupyter
    View on GitHub↗4,358
  • quantstack/voilaQuantStack avatar

    QuantStack/voila

    5,951View on GitHub↗

    Voilà turns Jupyter notebooks into standalone web applications

    Python
    View on GitHub↗5,951
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