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PostHog
hogql-parser

🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.

1.2M 34K 3K
splitio
splitio-client

Python SDK client for Split Software

216K 19 13
Matt52
bayesian-testing

Bayesian A/B testing

6K 83 10
sb-ai-lab
hypex

Fast and customizable framework for automatic and quick Causal Inference in Python

3K 128 10
e10v
tea-tasting

A Python package for the statistical analysis of A/B tests

2K 326 10
wavde
experiment-toolkit

Small, well-tested utilities for online controlled experiments: sample size, CUPED, sequential testing, delta-method variance.

1K 0 0
bakermoran
bayesabtest

A simple to use AB testing framework that lets anyone perform bayesian data analysis

1K 21 3
torchbox
wagtail-experiments

A/B testing for Wagtail

1K 108 22
MobileTeleSystems
ambrosia

Ambrosia is a Python library for A/B tests design, split and result measurement

1K 243 19
google-marketing-solutions
feedx

Transparent, robust and trustworthy A/B experimentation for Shopping feeds.

1K 58 4
growthbook
gbstats

Stats engine for GrowthBook, the open source feature flagging and A/B testing platform.

1K 8K 729
zalando
expan

Open-source Python library for statistical analysis of randomised control trials (A/B tests)

988 343 49
mihirdeo16
ab-testing-analysis

AB test analysis toolbox for analyzing and reporting the results of an ab test experiment. It provides the functions to analyze the ab test result of an experiment.

966 2 1
NPodlozhniy
seqabpy

Sequential A/B Testing Framework in Python

820 1 0
Salmon-Brain
dead-salmon-brain

Dead Salmon Brain is a cluster computing system for analysing A/B experiments

698 15 0
shyaginuma
casual-inference

Do causal inference more casually.

676 25 0
farhanreynaldo
abby

Seamless A/B testing with Abby.

669 0 0
andrewtavis
causeinfer

Machine learning based causal inference/uplift in Python

655 63 12
tlentali
leab

📈🔍 Lets Python do AB testing analysis.

541 76 6
replane-dev
replane

Dynamic configuration for Python

468 1 0
burning-cost
insurance-deploy

Champion/challenger pricing framework for UK insurance — model registry, quote routing, ENBP audit logging, and statistical promotion tests

388 0 0
dmitry-brazhenko
variatio

An experimental Python library for advanced A/B testing analysis, leveraging statistical techniques and ML for deeper insights.

359 1 0
vinayinvicible
django-route

Conditional url routing for django using template conditionals

345 8 2
domingosdeeulariadumba
ablisk

A Python module for design, analysis and decision-making of A/B tests.

291 0 0
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