Complex Workflows.
Simple Solutions.
Complex Workflows.
Simple Solutions.
DataSafari collapses complex data science workflows into clean, powerful one-liners.
DataSafari collapses complex data science workflows into clean, powerful one-liners.
Every function maps to a real step in your workflow — explore, transform, test, model.
Explore
Instant & Robust Exploratory data analysis.
Drop into any dataset blind. DataSafari's Explorer suite maps the landscape — patterns, outliers, distributions, correlations — before you write a second line of code.
Test Hypotheses
Data evaluation, Test selection & Result Interpretation. Automatically.
Pass in your variables. DataSafari's Predictor suite checks your assumptions, selects the right test automatically, and returns results with plain-language conclusions — all in one command.
Make Inferences
Automatic model selection & interpretation.
DataSafari's Inferential Predictor evaluates models across multiple metrics simultaneously, then surfaces the best fit. Full control over metric prioritization and selection when you need it.
Transform
Swiss knife of Data Transformation.
Clean, encode, and engineer features in one call. DataSafari's Transformer suite handles numerical and categorical data so your inputs are ML-ready before you touch a model.
Build ML Models
Preprocessing, Tuning & Model evaluation. Seamlessly.
Specify your variables. DataSafari's ML Predictor suite handles preprocessing, evaluates multiple models, tunes hyperparameters, and hands you the top performers — ready for deployment.
Evaluate
Model Assumptions, Data Types & More.
Verify normality, equal variance, and other critical assumptions before you commit to a test. DataSafari's Evaluators run the checks and explain the results in plain language.
Every function maps to a real step in your workflow — explore, transform, test, model.
Explore
Instant & Robust Exploratory data analysis.
Drop into any dataset blind. DataSafari's Explorer suite maps the landscape — patterns, outliers, distributions, correlations — before you write a second line of code.
Transform
Swiss knife of Data Transformation.
Clean, encode, and engineer features in one call. DataSafari's Transformer suite handles numerical and categorical data so your inputs are ML-ready before you touch a model.
Test Hypotheses
Data evaluation, Test selection & Result Interpretation. Automatically.
Pass in your variables. DataSafari's Predictor suite checks your assumptions, selects the right test automatically, and returns results with plain-language conclusions — all in one command.
Build ML Models
Preprocessing, Tuning & Model evaluation. Seamlessly.
Specify your variables. DataSafari's ML Predictor suite handles preprocessing, evaluates multiple models, tunes hyperparameters, and hands you the top performers — ready for deployment.
Make Inferences
Automatic model selection & interpretation.
DataSafari's Inferential Predictor evaluates models across multiple metrics simultaneously, then surfaces the best fit. Full control over metric prioritization and selection when you need it.
Evaluate
Model Assumptions, Data Types & More.
Verify normality, equal variance, and other critical assumptions before you commit to a test. DataSafari's Evaluators run the checks and explain the results in plain language.
Get Started
DataSafari is available on PyPI and can be installed using pip or Poetry.
1. Install DataSafari in your Terminal
2. Import DataSafari in your Python script
For full API reference, quickstart guides, and real-world examples, read the docs.
For full API reference, quickstart guides, and real-world examples, read the docs.
Hypothesis Testing with DataSafari
from datasafari.predictor import predict_hypothesis import pandas as pd import numpy as np # Create a sample DataFrame df_hypothesis = pd.DataFrame({ 'Group': np.random.choice(['Control', 'Treatment'], size=100), 'Score': np.random.normal(0, 1, 100) }) # Perform hypothesis testing results = predict_hypothesis(df_hypothesis, 'Group', 'Score')
