Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Growthbook | 5,285 | 11 | 3 months ago | 49 | November 15, 2023 | 302 | other | TypeScript | ||
Open Source Feature Flagging and A/B Testing Platform | ||||||||||
Productmanagementroadmap | 69 | 7 months ago | ||||||||
I'm often asked, "How can I get into Product Management", so I wanted to share a list of resources to help you pivot! | ||||||||||
Causeinfer | 54 | 5 months ago | 35 | July 09, 2022 | 5 | bsd-3-clause | Python | |||
Machine learning based causal inference/uplift in Python | ||||||||||
Leab | 45 | 2 years ago | 5 | September 27, 2020 | bsd-3-clause | Python | ||||
📈🔍 Lets Python do AB testing analysis | ||||||||||
Hypex | 20 | 3 months ago | 6 | apache-2.0 | Python | |||||
Fast and customizable framework for automatic and quick Causal Inference in Python | ||||||||||
Casual_inference | 16 | 6 months ago | 7 | mit | Python | |||||
Do causal inference more casually. | ||||||||||
Feedx | 13 | 3 months ago | apache-2.0 | Jupyter Notebook | ||||||
Transparent, robust and trustworthy A/B experimentation for Shopping feeds. | ||||||||||
Bayesabtest | 10 | 2 years ago | 7 | March 29, 2022 | 5 | mit | Python | |||
A simple to use AB testing framework that lets anyone perform bayesian data analysis | ||||||||||
Statistics For Data Science | 8 | 4 years ago | gpl-3.0 | Jupyter Notebook | ||||||
Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc. | ||||||||||
Ab Tester | 5 | 3 months ago | apache-2.0 | Python | ||||||
A web application to help design and evaluate the results of A/B tests. |