shiny
A web development framework for Python.
Decision gist · record as of 2026-08-14
Yes. Shiny is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. It's well-suited for developers who want to build web applications in Python without learning JavaScript. The 21 runtime dependencies are justified by reliance on proven web libraries (starlette, uvicorn) rather than custom implementations. Choose it if you need reactive, interactive web UIs; if you need a lightweight REST API or static site, a simpler framework may be better.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low install friction with a pure-Python wheel distribution.
- Active maintenance with a recent release and steady repository activity.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing free use, modification, and distribution in both open-source and commercial projects with minimal restrictions.
last release 2026-07-29 (16 days) · last repo commit 2026-08-14 · 1,746 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 295,718 downloads/mo, #7,917 on PyPI
Alternatives
Verify before relying
pip install shiny
from shiny import App, render, ui
app = App(
ui.page_fluid(
ui.input_slider("n", "N"),
ui.output_text("txt")
),
None
)
@app.server
def server(input, output, session):
@output
@render.text
def txt():
return f"n is {input.n()}"
app.run()- Performance characteristics and scalability limits for large-scale applications.
- Specific feature comparison with other Python web frameworks in terms of completeness.
- Hosting and deployment requirements beyond the mentioned platforms.
What it is and what it does
Shiny for Python is a web framework designed to let Python developers build fast, interactive web applications without needing to write JavaScript or HTML directly. It uses reactive programming—a model where the UI automatically updates when underlying data changes—to simplify the logic of building responsive applications. The framework ships with a CLI tool for scaffolding new projects and a development server with hot-reload support.
It sits on top of modern web infrastructure: uvicorn and starlette handle the HTTP server, websockets enable real-time communication, and htmltools manages the UI rendering. The package includes 21 runtime dependencies covering async I/O, data handling (narwhals for dataframe abstraction, orjson for JSON serialization), and interactive components. It supports Python 3.10 through 3.14 and is actively maintained, with deployment options to multiple cloud platforms.
Use it for
- Build interactive dashboards and data exploration tools for analysts and stakeholders without learning web development.
- Prototype data science applications quickly, then extend them into production-grade systems using modular architecture.
- Create real-time monitoring and reporting applications that update automatically as underlying data changes.
- Develop internal tools and admin interfaces that integrate with Python data pipelines and databases.
- Build educational or scientific applications that visualize complex computations and let users interact with parameters.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Shiny is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. It's well-suited for developers who want to build web applications in Python without learning JavaScript. The 21 runtime dependencies are justified by reliance on proven web libraries (starlette, uvicorn) rather than custom implementations. Choose it if you need reactive, interactive web UIs; if you need a lightweight REST API or static site, a simpler framework may be better.
Install
shiny on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a recent release and steady repository activity. The 21 runtime dependencies are well-established web and data libraries (uvicorn, starlette, websockets, narwhals), suggesting a stable, production-ready stack.
Requires Python 3.10 or later.
License in practice
MIT license is permissive, allowing free use, modification, and distribution in both open-source and commercial projects with minimal restrictions.
Quickstart
pip install shiny
from shiny import App, render, ui
app = App(
ui.page_fluid(
ui.input_slider("n", "N"),
ui.output_text("txt")
),
None
)
@app.server
def server(input, output, session):
@output
@render.text
def txt():
return f"n is {input.n()}"
app.run()Verify before relying
- Performance characteristics and scalability limits for large-scale applications.
- Specific feature comparison with other Python web frameworks in terms of completeness.
- Hosting and deployment requirements beyond the mentioned platforms.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 21 packagestyping-extensionsuvicornstarlettewebsocketshtmltoolsclickmarkdown-it-pymdit-py-pluginslinkify-it-pyplatformdirsasgirefpackagingwatchfilesquestionaryprompt-toolkitpython-multipartsetuptoolsnarwhalsorjsonshinychatopentelemetry-api |
| Maintenance | Actively maintained 16 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 295,718 / month, #7,917 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersNatural Language :: EnglishProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: shiny-1.7.0-py3-none-any.whl
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