Otava Test Data

Test data generators and Visualization for Apache Otava change point detection.

Web Visualizer

The package includes an interactive web visualizer for exploring test patterns and comparing change point detection results against ground truth.

Features:

• Generate and visualize 17 different test patterns
• Compare three analysis methods: Otava (statistical), Moving Average, and Boundary detection
• View accuracy metrics (precision, recall, F1 score)
• Adjust parameters in real-time and see results instantly

Multiple Change Points

Detect multiple successive changes in your data:

Variance Changes

Detect changes in data volatility even when the mean stays constant:

Starting the Visualizer

pip install otava-test-data[web]

# Start the web server
otava-web
# Or with invoke tasks
inv web-start

Then open http://127.0.0.1:8100 in your browser.

Installation

pip install otava-test-data

Or with all optional dependencies:

pip install otava-test-data[all]

Quick Start

from otava_test_data import step_function, noise_normal, combine

# Generate a step function (single change point) with realistic noise
step = step_function(length=500, value_before=100, value_after=120)
noise = noise_normal(length=500, mean=0, sigma=5)
combined = combine(step, noise)

# Export to CSV for Otava analysis
combined.to_csv("test_data.csv")

# Access ground truth change point information
for cp in combined.change_points:
    print(f"Change at index {cp.index}: {cp.description}")

Available Generators

Basic Building Blocks

Advanced Patterns

CLI Tool

# Generate test suite
otava-gen generate --output-dir ./test_data --lengths 50 500 --seed 42

# List available generators
otava-gen list

# Get info about a generator
otava-gen info step_function

Documentation

Full documentation available at Read the Docs.

License

Apache License 2.0