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Streamlit — turn Python scripts into interactive data apps

OSS health 100
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Discovery score is an unbounded weighted, log-compressed index of stars, watchers, forks, and contributors. Growth momentum is its change over the observed period; OSS health is a 0–100 score from available repository recency, Community Health, and release data.

Stars
45,737
Primary language
Python
License
Apache-2.0
Repository last updated
Sep 13, 2026

Overview

Streamlit is a framework for turning Python scripts into interactive web applications such as dashboards, reports, and chat apps. Widgets, dataframes, charts, layouts, and multipage applications are composed through a Python-centered API.

Features and best fit

Based on official documentation; not hands-on tested · Content checked:

Add widgets and visualization to a short Python script, then share it

Install with pip and start an app with streamlit run. Official paths lead from a minimal slider example to input widgets, interactive dataframes, charts, layouts, multipage apps, and custom components. Community Cloud can deploy, manage, and share the resulting application.

Sources: [1]

For quickly sharing data-processing prototypes through a usable interface

It fits data scientists and Python developers prototyping dashboards, analytical reports, ML demos, and chat apps without making frontend implementation the main project, especially when early user feedback matters.

Sources: [1]

Review the hosting boundary and current outside-contribution policy

The open-source framework and Community Cloud are separate choices, so data, authentication, networking, and resource limits depend on the deployment target. The README currently says pull requests from outside the maintainer team are paused and instead points to bug reports, feature requests, open-spec comments, and custom components.

Sources: [1]

Official sources

  1. [1]Streamlit README(2026-09-13)
Supplemental curator note

Selected for repeating the data-apps category across discovery surfaces and prioritizing visual demos over technical badges in its README.

Growth

Growth trends · Last 30 days

45,737 Stars

Trend data is still being collected.

Development activity

Last 90 days · weekly

Commits (last 30 days)
264
Open PRs
187

Development activity is still being collected.

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GitHub data

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GitHub Topics

  • python
  • machine-learning
  • data-science
  • deep-learning
  • data-visualization
  • streamlit
  • data-analysis
  • developer-tools
Stars
45,737
Forks
4,375
Watchers
344
Open issues
976
Primary language
Python
License
Apache-2.0
Repository last updated
Sep 13, 2026
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