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Faker is a Python package that generates fake data for you.
Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
- mimesis
- fake
- data
- generator
A light-weight, flexible, and expressive statistical data testing library
- pandas
- validation
- schema
- dataframes
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
A py.test plugin to validate Jupyter notebooks
- ipython-notebook
- jupyter-notebook
- python
- testing
Automated Testing for Set-Top Boxes and Smart TVs
- python
- test-automation
- set-top-box
- remote-control
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
- clickhouse
- data-engineering
- data-generation
- devops
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
- algorithmic-trading
- cryptocurrency
- ethereum
- moving-average