Statistical Intelligence as a Service — rigorous analysis skills via API
Project description
DataBubble SDK
Statistical Intelligence as a Service.
pip install databubble httpx pandas
Quick start
from databubble import DataBubble
import pandas as pd
db = DataBubble(api_key="dbk_...")
# Univariate analysis
result = db.skills.univariate(df["price"])
print(result.summary)
print(result.warnings)
# Missing value profiling
result = db.skills.missing_values(df)
# Export session memory for next session
mem = db.memory.export(df, label="POS data June 2026")
mem.save("pos_memory.json")
Available skills
| Skill | Input | What it does |
|---|---|---|
univariate |
Series or DataFrame + column= | Distribution analysis, skewness, bounded ordinal detection, MNAR flags |
outliers |
Series or DataFrame + column= | IQR + Z-score outlier detection |
missing_values |
DataFrame | MCAR/MAR/MNAR profiling, treatment recommendations |
leakage |
DataFrame + outcome= | Post-outcome timing detection, correlation proxy check |
bivariate |
DataFrame + x= + y= | Relationship analysis, linearity check |
correlation |
DataFrame + x= + y= | Pearson + Spearman, non-linearity flag |
Tiers
| Tier | Price | Calls/month | Skills |
|---|---|---|---|
| Developer | Free | 500 | Core analysis skills |
| Pro | $49/month | 10,000 | All skills |
| Business | $299/month | 100,000 | All skills + journey endpoints |
| Enterprise | Custom | Unlimited | Everything |
Get a key at databubble.ai.
Project details
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