This release is a pre-release and may not be stable for production use.
Datapilot
The first step after loading your dataset.
Datapilot is an open-source Python library that automates exploratory data analysis by generating deterministic dataset insights, health assessments, statistical summaries, and professional HTML reports.
Every data project begins with understanding the data. Datapilot helps you understand your dataset before building machine learning models, dashboards, or AI-powered applications.
Installation
pip install datapilot-kit
Quick Start
import pandas as pd
from datapilot import analyze
df = pd.read_csv("dataset.csv")
report = analyze(df)
Features
- Dataset Summary
- Dataset Health Score
- Missing Value Analysis
- Duplicate Detection
- Data Type Analysis
- Statistical Summaries
- Outlier Detection
- Correlation Analysis
- Actionable Insights
- Professional HTML Reports
Documentation
Project documentation is available in the docs/ directory.
- Vision
- User Journey
- API Philosophy
- API Review
- Roadmap
Status
🚧 Datapilot v0.3 — Public Preview (In Development)
The project is currently being prepared for its first public release.
1 maintainer
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