[PR #2782] Add func-to-web to Admin Panels section #2095

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GiteaMirror · 2025-11-06T13:29:22-06:00

GiteaMirror commented

2025-11-06 13:29:22 -06:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/2782
Author: @offerrall
Created: 10/26/2025
Status: 🔄 Open

Base: master ← Head: add-functoweb

📝 Commits (1)

a1cdf60 Add func-to-web to Admin Panels section

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

FuncToWeb turns Python functions into web forms with zero boilerplate.

Problem it solves: Data scientists, backend developers, and teams need quick internal tools and forms without learning frontend frameworks or writing repetitive FastAPI boilerplate.

Solution: Just add type hints to any function and get an automatic web UI:

def process_data(
    file: ImageFile,
    threshold: Annotated[int, Field(ge=0, le=100)],
    mode: Literal["fast", "accurate"]
):
    # Your logic here
    return result

run(process_data)  # That's it - instant web form

Use cases:

Internal tools (data processing, report generation)
Quick prototypes and demos
Script sharing with non-technical users
Admin panels without writing HTML/CSS/JS

Describe features:

Zero boilerplate - just type hints
All Python types supported (int, str, bool, date, time, files, lists)
Advanced validation with Pydantic Field
Combined constraints (validate both list size AND individual items)
Dynamic dropdowns with Literal[function]
File uploads (images, CSV, documents)
FastAPI-powered, production-ready

What's the difference between this Python project and similar ones?

vs Streamlit (33k stars):

Streamlit requires learning their API (st.text_input(), st.button())
FuncToWeb uses standard Python type hints - zero new syntax
Better for wrapping existing functions without modification

vs Gradio (30k stars):

Gradio needs explicit gr.Interface() configuration
FuncToWeb infers everything from type hints automatically
Lighter weight - fewer dependencies

vs Wooey:

Wooey uses argparse (outdated approach)
FuncToWeb uses modern Python type hints
Better validation with Pydantic Field constraints

Unique features:

OptionalEnabled/OptionalDisabled markers for optional field control
Dynamic Literal[function] for runtime-populated dropdowns

Combined constraints: validate both list size AND each item separately

# 3-10 ratings, each rating must be 1-5
ratings: Annotated[
    list[Annotated[int, Field(ge=1, le=5)]], 
    Field(min_length=3, max_length=10)
]

Comprehensive Pydantic integration

Project info:

GitHub: https://github.com/offerrall/FuncToWeb
Documentation: https://offerrall.github.io/FuncToWeb/
Stars: 208+
PyPI: https://pypi.org/project/func-to-web/

Anyone who agrees with this pull request could submit an Approve review to it.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/2782 **Author:** [@offerrall](https://github.com/offerrall) **Created:** 10/26/2025 **Status:** 🔄 Open **Base:** `master` ← **Head:** `add-functoweb` --- ### 📝 Commits (1) - [`a1cdf60`](https://github.com/vinta/awesome-python/commit/a1cdf60c0cbfee7ee1b38500c4a3e3b4d8ddbb8b) Add func-to-web to Admin Panels section ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? FuncToWeb turns Python functions into web forms with zero boilerplate. **Problem it solves:** Data scientists, backend developers, and teams need quick internal tools and forms without learning frontend frameworks or writing repetitive FastAPI boilerplate. **Solution:** Just add type hints to any function and get an automatic web UI: ```python def process_data( file: ImageFile, threshold: Annotated[int, Field(ge=0, le=100)], mode: Literal["fast", "accurate"] ): # Your logic here return result run(process_data) # That's it - instant web form ``` **Use cases:** - Internal tools (data processing, report generation) - Quick prototypes and demos - Script sharing with non-technical users - Admin panels without writing HTML/CSS/JS Describe features: - Zero boilerplate - just type hints - All Python types supported (int, str, bool, date, time, files, lists) - Advanced validation with Pydantic Field - Combined constraints (validate both list size AND individual items) - Dynamic dropdowns with Literal[function] - File uploads (images, CSV, documents) - FastAPI-powered, production-ready ## What's the difference between this Python project and similar ones? **vs Streamlit (33k stars):** - Streamlit requires learning their API (st.text_input(), st.button()) - FuncToWeb uses standard Python type hints - zero new syntax - Better for wrapping existing functions without modification **vs Gradio (30k stars):** - Gradio needs explicit gr.Interface() configuration - FuncToWeb infers everything from type hints automatically - Lighter weight - fewer dependencies **vs Wooey:** - Wooey uses argparse (outdated approach) - FuncToWeb uses modern Python type hints - Better validation with Pydantic Field constraints **Unique features:** - OptionalEnabled/OptionalDisabled markers for optional field control - Dynamic Literal[function] for runtime-populated dropdowns - Combined constraints: validate both list size AND each item separately ```python # 3-10 ratings, each rating must be 1-5 ratings: Annotated[ list[Annotated[int, Field(ge=1, le=5)]], Field(min_length=3, max_length=10) ] ``` - Comprehensive Pydantic integration --- **Project info:** - GitHub: https://github.com/offerrall/FuncToWeb - Documentation: https://offerrall.github.io/FuncToWeb/ - Stars: 208+ - PyPI: https://pypi.org/project/func-to-web/ Anyone who agrees with this pull request could submit an *Approve* review to it. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2025-11-06 13:29:22 -06:00

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Reference: github-starred/awesome-python#2095