athena-eda 0.1.1

Automated EDA, ML readiness scoring, and data quality checks — locally in your browser.

Athena — ML Diagnostics Platform

Upload a CSV. Get a full diagnostic report. Download a preprocessing script.

Athena is a machine learning readiness tool that analyzes tabular datasets and surfaces what matters before you start modeling — leakage risks, class imbalance, outliers, feature redundancy, NLP readiness, and more.

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How It Works

1. Upload a CSV — up to 200k rows, labeled or unlabeled
2. Select Supervised or Unsupervised mode. For supervised, specify the target column
3. Choose an analysis profile: Standard, Finance, Healthcare, or NLP
4. Athena runs a full diagnostic pass and returns a structured report
5. Explore results across five tabs: Overview, Features, Quality, ML Diagnostics, and NLP
6. Download a ready-to-run Python preprocessing script tailored to your dataset, or export the full report as HTML

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Features

• ML Readiness Score — composite score across data health, trainability, and leakage risk
• Leakage Detection — flags identifier columns and suspiciously correlated features
• Baseline Probe — 3-fold cross-validated LightGBM baseline with learning curves
• Outlier and Skew Analysis — per-feature skewness, kurtosis, log-transform recommendations
• NLP Readiness — detects free-text columns, vocabulary analysis, embedding recommendations
• Drift Comparison — upload train and test splits to get per-column distribution drift scores
• Feature Redundancy — correlation matrix analysis for highly redundant feature pairs
• Analysis Profiles — Standard, Finance, Healthcare, NLP
• Preprocessing Script — one-click export of a production-ready Python preprocessing script

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Stack

• Frontend — React, TypeScript, Vite, Recharts
• Backend — FastAPI, Python, LightGBM, scikit-learn, pandas