A Python package for the statistical analysis of A/B tests
-
Updated
Jul 11, 2026 - Python
#
cuped
Here are 31 public repositories matching this topic...
因果推理&AB实验相关论文小书库
-
Updated
Mar 12, 2023
Causalis - State-of-the-art robust causal inference for experiments and observational data in python
python data-science machine-learning statistics ai dml rct econometrics experimentation ab-testing gate causal-inference synthetic-control uplift-modeling causalml pydantic difference-in-differences cuped double-machine-learning
-
Updated
Jul 8, 2026 - Python
Theory and implementatuon of various A/B experiments
-
Updated
Jun 9, 2020 - Jupyter Notebook
AB testing, stattests, poisson bootstrap, cuped, linearization
-
Updated
Apr 23, 2023 - Jupyter Notebook
A/B testing statistics, design, increasing sensitivity, multiple experiments comparison, traffic splitting and full A/B testing pipeline in Python
-
Updated
Sep 9, 2023 - Jupyter Notebook
896 tests / 42 scripts validating Zetyra calculators (GSD, CUPED, Bayesian, SSR incl. Single-Arm, RAR, Master Protocol). Replicates 8 published trials (Salk, DAPA-HF, PACIFIC, MONALEESA-7, I-SPY 2, STAMPEDE, REMAP-CAP, NCT03377023) + Leyrat 2024.
python r validation monte-carlo fda biostatistics clinical-trials bayesian sample-size oncology adaptive-design prior-elicitation cuped group-sequential-designs basket-trial master-protocol statistical-validation bayesian-toolkit platform-trial nct03377023
-
Updated
May 15, 2026 - Python
Воспроизводимые эксперименты по снижению дисперсии оценки эффекта: plain diff, CUPED, VWE и их комбинация.
-
Updated
Apr 9, 2026 - Python
An end-to-end A/B testing program review: 6 experiments, 2 ships, and the decision-quality framework behind them
-
Updated
Apr 15, 2026 - Jupyter Notebook
Тыкаюсь в темах интенсива A/B-week от ШАДа
-
Updated
Aug 13, 2025 - Jupyter Notebook
A Python package for the full A/B test lifecycle, from power analysis to sequential monitoring and variance reduction
-
Updated
May 18, 2026 - Python
A/B testing engine: frequentist + Bayesian + CUPED variance reduction + peeking-safe sequential testing
python data-science statistics experimentation ab-testing hypothesis-testing causal-inference bayesian-statistics cuped sequential-testing
-
Updated
Jun 29, 2026 - Python
End-to-end A/B experimentation toolkit: experiment readouts, MDE & power calculations, CUPED variance reduction, and decision-focused reporting in a Big Tech economist style.
python econometrics experimentation ab-testing causal-inference mde power-analysis cuped big-tech-economist
-
Updated
Jan 14, 2026 - HTML
Local-first experimentation and causal decision platform for A/B testing, CUPED, trust checks, segment-aware rollout policy, and simulation-driven validation.
python simulation experimentation ab-testing causal-inference uplift-modeling fastapi streamlit feature-evaluator cuped duckdb
-
Updated
May 17, 2026 - Python
Experimentation and causal inference platform for product decision systems, implementing A/B testing, CUPED variance reduction, and Difference-in-Differences analysis with reproducible pipelines.
ab-testing causal-inference product-analytics difference-in-differences experimentation-platform cuped
-
Updated
Feb 20, 2026 - Jupyter Notebook
A/B test lift simulation & analysis in Python: CUPED variance reduction, power analysis, and guardrail metrics with reproducible pytest CI.
python statistics pandas pytest scipy experimentation ab-testing srm causal-inference power-analysis github-actions cuped
-
Updated
Nov 16, 2025 - Python
A/B testing project comparing difference-in-means vs CUPED on the Hillstrom email experiment.
-
Updated
May 7, 2026 - Jupyter Notebook
End-to-end A/B testing framework — power analysis, SRM checks, CUPED variance reduction, BH-corrected segment breakouts, and an auto-generated ship/no-ship decision doc. Built on a 60k-user synthetic checkout experiment.
python bootstrap data-science statistics experimentation data-analysis ab-testing hypothesis-testing statsmodels causal-inference power-analysis cuped
-
Updated
May 22, 2026 - Python
Causal failure attribution + Cladder-style benchmark + A/B testing harness with power analysis, CUPED, propensity matching, and DiD
python ab-testing causal-inference power-analysis cuped propensity-matching ai-evaluation agent-tracing
-
Updated
Jun 10, 2026 - Python
Bootstrap confidence intervals for A/B-test KPIs, with CUPED and a C++ resampling kernel.
-
Updated
Jun 24, 2026 - R
Improve this page
Add a description, image, and links to the cuped topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the cuped topic, visit your repo's landing page and select "manage topics."