# openatx/facebook-wda

Facebook WebDriverAgent Python Client Library (not official)

Repository: https://github.com/openatx/facebook-wda
Canonical: https://ross.abutalabs.com/products/facebook-wda
Language: Python
License: MIT
License Family: permissive
Topics: wda, python, webdriveragent
Last push: 2026-07-01T06:19:15+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 90, release rhythm 45, longevity 100
- inputs: {"age_days": 3706, "days_push": 63, "days_rel": 364, "gap_med": 19.0, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1878, forks 294 (observed 2026-08-28T04:05:48.414513+00:00)

## What it is
A Python client library for Facebook's WebDriverAgent, enabling programmatic control and testing of iOS devices over HTTP. It implements the WDA query APIs for automating iOS apps, screenshots, and UI interactions.

## Use cases
- automate iOS app UI testing from Python
- take screenshots of an iPhone programmatically
- control an iOS device for test automation
- script taps and swipes on iOS devices
- run iOS device automation without Xcode using tidevice

## When to choose
- you need a Python API to drive WebDriverAgent on iOS devices
- you are building iOS UI automation or device-farm tooling in Python

## When to avoid
- you need Android automation (use uiautomator2 instead)
- you want an officially supported Appium client rather than a community WDA client

## Facets
- artifact type: library
- maturity: maintenance
- function: testing, http-client, workflow-automation
- domain: mobile-development, developer-tools, testing
- platform: python, cross-platform
- tags: ios-automation, webdriveragent, appium, ui-testing, mobile-testing, ios, macos

## Member repositories
- openatx/facebook-wda (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:48.414513+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 2026-08-30T03:14:40.024407+00:00, confidence not recorded.
  - readme: https://github.com/openatx/facebook-wda (fetched 2026-08-28T04:05:48.414513+00:00, sha 1e2e02139328)
  - registry_pypi: https://pypi.org/pypi/facebook-wda/json (fetched 2026-08-29T10:53:27.673922+00:00, sha 580427a8ae5b)
- Data as of 2026-08-30T08:39:29.467469+00:00.
