# tebelorg/RPA-Python

Python package for doing RPA

Repository: https://github.com/tebelorg/RPA-Python
Canonical: https://ross.abutalabs.com/products/rpa-python
Language: Python
License: Apache-2.0
License Family: permissive
Topics: rpa, python, opencv, tesseract, tagui, sikuli, cross-platform
Last push: 2026-07-25T17:52:52+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 8, longevity 100
- inputs: {"age_days": 2713, "days_push": 39, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5493, forks 722 (observed 2026-08-28T04:09:19.844017+00:00)

## What it is
A Python package for robotic process automation (RPA) that wraps TagUI to automate web pages, desktop apps, and visual elements via a simple API. It supports cross-platform visual automation using OpenCV, Tesseract, and Sikuli.

## Use cases
- automate repetitive web tasks in python
- rpa scripts for filling web forms
- automate desktop applications with python
- click buttons by screenshot image recognition
- scrape websites and automate browser workflows
- automate data entry tasks

## When to choose
- you want simple one-line RPA automation from Python or Jupyter
- you need both web and desktop/visual automation in one package
- you want a cross-platform RPA tool with minimal setup

## When to avoid
- you need enterprise-grade RPA with orchestration and audit trails
- you only need browser automation and prefer Selenium or Playwright directly
- you need a maintained GUI-based RPA designer

## Facets
- artifact type: library
- maturity: active
- function: workflow-automation, computer-vision, web-scraping, ocr
- domain: developer-tools, cross-platform
- platform: python, windows, cross-platform
- tags: rpa, robotic-process-automation, tagui, sikuli, tesseract, visual-automation, browser-automation, automation, macos, linux

## Member repositories
- tebelorg/RPA-Python (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:19.844017+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 2026-08-29T17:56:19.879992+00:00, confidence not recorded.
  - readme: https://github.com/tebelorg/RPA-Python (fetched 2026-08-28T04:09:19.844017+00:00, sha 5edcf0eb750b)
- Data as of 2026-08-30T08:39:29.467469+00:00.