anasfrh

anasfrh / ExpLab

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ExpLab: A Warehouse Native Open-Source A/B Testing and Experimentation Analysis Platform

80
0
100% credibility
Found May 08, 2026 at 80 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

ExpLab is an open-source platform for analyzing A/B experiments and statistical significance directly in your data warehouse using demo SQLite or Postgres.

How It Works

1
🔍 Discover ExpLab

You find this free tool that lets you run A/B tests right where your customer data lives, keeping everything private and fast.

2
🚀 Start with one click

Run a simple command to launch the dashboard and demo data warehouse on your computer.

3
👤 Create your account

Open your web browser, sign up as the main user, and you're ready to explore.

4
⚗️ Seed sample experiments

Click to fill the dashboard with realistic test data so you can see results instantly.

5
📊 Analyze your first test

Pick an experiment, choose key goals like revenue or signups, and watch charts show lifts and significance.

6
🔧 Tweak settings

Adjust time windows or outlier handling for your metrics to fit your business perfectly.

🎉 Unlock experiment insights

Confidently decide what changes win, all from your own secure data without copying anywhere.

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AI-Generated Review

What is ExpLab?

ExpLab is a warehouse-native open-source A/B testing and experimentation analysis platform, with a TypeScript Next.js frontend and Python FastAPI backend. It analyzes metrics and conversion events directly in your Postgres, MySQL, or SQLite warehouse—no data exports needed for privacy and speed. Docker Compose spins up a full demo with simulated data, power calculator, and stats engine for quick A/B testing.

Why is it gaining traction?

Unlike SaaS tools charging per MTU, ExpLab runs on your infra for zero marginal cost at scale. It auto-detects SRM skew, runs dimension balance checks, applies FDR corrections like Benjamini-Hochberg, and handles winsorization—features devs notice in crisp results tables and time-series charts. The built-in simulator and one-click demo hook tinkerers instantly.

Who should use this?

Growth engineers at mid-stage startups analyzing user events in Postgres for A/B tests on revenue or conversions. Data scientists needing on-demand power calcs and multi-testing safeguards without ETL pipelines. Teams ditching Explab Mannheim-style tools for self-hosted experimentation platforms.

Verdict

Grab it for Postgres A/B analysis—demo quality and docs punch above 80 stars, but 1.0% credibility score means treat as alpha. Production-ready for demos; fork and contribute for BigQuery/Snowflake.

(198 words)

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