{"library":"dowhy","type":"library","category":null,"description":"DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions, following a four-step framework: Model, Identify, Estimate, and Refute. It aims to bridge econometric and machine learning approaches to causality. The current version is 0.14, and it sees regular releases, typically every few months, incorporating new features, estimators, and compatibility updates.","language":"python","status":"active","version":"0.14","tags":["causal-inference","causality","machine-learning","statistics","pywhy"],"last_verified":"Tue May 26","install":[{"cmd":"pip install dowhy","imports":["from dowhy import CausalModel","from dowhy import gcm"]},{"cmd":"pip install dowhy[all]","imports":[]}],"homepage":"https://py-why.github.io/dowhy","github":"https://github.com/py-why/dowhy","docs":"https://py-why.github.io/dowhy","changelog":null,"pypi":"https://pypi.org/project/dowhy/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":32.5,"avg_import_s":8.41,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dowhy/compatibility"}}