# mljar/mercury

Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.

Repository: https://github.com/mljar/mercury
Canonical: https://ross.abutalabs.com/products/mercury
Homepage: https://RunMercury.com
Language: Python
License: Apache-2.0
License Family: permissive
Topics: notebook-jupyter, notebooks-jupyter, notebook-application, notebook-publish, notebook-web, python, data-science, data-visualization, jupyter-notebook, jupyter-lab, jupyter, mljar-mercury, mercury, notebook
Last push: 2026-08-26T15:25:33+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 98, longevity 100
- inputs: {"age_days": 1717, "days_push": 7, "days_rel": 12, "gap_med": 16.5, "n_releases_24m": 11}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4350, forks 292 (observed 2026-08-28T04:08:46.266717+00:00)

## What it is
Mercury is an open-source Python framework that converts Jupyter notebooks into interactive, shareable web applications without any frontend code. It provides a widget library, a standalone server for serving notebooks as apps, and a JupyterLab extension for live app preview.

## Use cases
- turn a jupyter notebook into a web app
- share data analysis with non-technical colleagues
- build a dashboard from a notebook
- create a chatbot app in a notebook
- publish interactive reports without writing frontend code
- deploy a python notebook as a standalone web application

## When to choose
- you already work in Jupyter notebooks and want to share results as web apps
- you want reactive widget-driven apps without callbacks or frontend code
- you need a quick way to build dashboards, reports, or simple chat apps in Python

## When to avoid
- you need a fully custom UI or fine-grained frontend control
- your app is not notebook-based and would be better served by a standard web framework
- you rely on Google Colab or VS Code notebooks, since live preview only works in JupyterLab and MLJAR Studio

## Facets
- artifact type: framework
- maturity: active
- function: web-framework, ui-components, data-visualization, chatbot, state-management
- domain: data-science, web-development, data-visualization, developer-tools
- platform: python, self-hosted
- tags: jupyter-notebooks, notebook-to-web-app, interactive-widgets, reactive-notebooks, dashboards, reports, no-frontend, web-server, docker

## Member repositories
- mljar/mercury (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:46.266717+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 2026-08-29T18:21:32.654705+00:00, confidence not recorded.
  - readme: https://github.com/mljar/mercury (fetched 2026-08-28T04:08:46.266717+00:00, sha 664d15cfe336)
  - homepage: https://RunMercury.com (fetched 2026-08-29T09:10:32.828292+00:00, sha 3234db549467)
  - site_page: https://runmercury.com/docs (fetched 2026-08-29T09:10:32.830914+00:00, sha 00b2bb61c569)
  - registry_pypi: https://pypi.org/pypi/mercury/json (fetched 2026-08-29T09:10:32.834333+00:00, sha 31002ca5403c)
- Data as of 2026-08-30T08:39:29.467469+00:00.