# MarcSkovMadsen/awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

Repository: https://github.com/MarcSkovMadsen/awesome-streamlit
Canonical: https://ross.abutalabs.com/products/awesome-streamlit
Homepage: https://awesome-streamlit.org
Language: HTML
License: CC-BY-SA-4.0
License Family: other
Topics: data, models, analytics, streamlit, machine-learning, apps, python, data-science, innovation, exploration, mathematics, finance, trading, fun, awesome-list
Last push: 2023-05-25T17:22:46+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2524, "days_push": 1196, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2282, forks 359 (observed 2026-08-28T04:06:33.922305+00:00)

## What it is
A curated awesome-list of Streamlit resources plus a live gallery application showcasing Streamlit data apps. It also provides a best-practices multipage Streamlit app starter template with CI/CD and Docker deployment.

## Use cases
- find streamlit resources and tutorials
- learn how to build data apps in python
- see examples of streamlit applications
- get a starter template for a multipage streamlit app
- compare streamlit to alternatives like panel and bokeh

## When to choose
- you are exploring or learning Streamlit for data science apps
- you want a curated reference of Streamlit components and examples

## When to avoid
- you need a maintained production framework rather than a resource list
- you do not use Python or Streamlit

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-visualization, developer-tools, documentation
- domain: data-science, machine-learning, analytics, awesome-lists, tutorials
- platform: python, cloud
- tags: streamlit, awesome-list, data-apps, gallery, starter-template, web-server, docker

## Member repositories
- MarcSkovMadsen/awesome-streamlit (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:33.922305+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:41:19.056144+00:00, confidence not recorded.
  - readme: https://github.com/MarcSkovMadsen/awesome-streamlit (fetched 2026-08-28T04:06:33.922305+00:00, sha 74e72cf3e444)
  - homepage: https://awesome-streamlit.org (fetched 2026-08-29T10:21:27.721463+00:00, sha cd9e44fb1885)
- Data as of 2026-08-30T08:39:29.467469+00:00.