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A/B testing & experimentation

User bucketing, experiment metrics, statistical comparison, and rollout guardrails.

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A/B testing & experimentation easy

Difference in Differences Mock in Python

Generate mock panel data with a known treatment effect and compute a difference-in-differences estimate using group and period means.

did pandas simulation
Python 
import numpy as np
import pandas as pd

# Generate mock panel data: 2 groups (control=0, treatment=1) × 2 periods (pre=0, post=1)
rng = np.random.default_rng(42)
n_per_cell = 50

data = []
for group in [0, 1]:
    for period in [0, 1]:
        # True effect: treatment increases outcome by 5 in the post period
        …
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