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A lightweight experimentation toolkit for data scientists.

Project description

Stratosphere

A lightweight experimentation toolkit for data scientists.

PyPI - Python Version PyPI - License PyPI - Version PyPI - Wheel PyPI - Installs Black - Code style Open in Colab Open in Binder

Designed to be accessibile, fast and robust. stratosphere lets you:

  1. Define as code your experiments: s.define(name="experiment", funcs=[step1, step2, step3])
  2. Execute them with the best-suited backend: s.execute()
  3. Track what you need (predictions, metrics, ...)
  4. Store them as plain tables and/or pickled objects
  5. Query them with SQL, Pandas or Python

How is it possible?

Installation

On Python >= 3.8.0:

  • With PyPI: pip install "stratosphere[complete]" --upgrade # Install everything
  • With Poetry: poetry add stratosphere@latest --extras complete # Install everything

On Python 3.7.13-15 (Google Colab, Binder):

!pip install joblib pandas tqdm cloudpickle colorama sqlalchemy sqlalchemy-utils ulid-py --upgrade --quiet
!pip install tabulate scikit-learn dask[complete] --upgrade --quiet # to install extras
!pip install stratosphere --ignore-requires-python --no-dependencies --quiet

You can also install only the stratosphere library (dropping the [complete] extras). Modules like stratosphere.utils.dask, stratosphere.utils.metrics, and stratosphere.utils.widgets won't work until you also install dask[complete], scikit-learn, and ipywidgets, respectively. These extras are required to run some of the tutorial notebooks.

Documentation

  • In the intro notebook, you'll be exposed to the key concepts. It runs entirely in the browser.
  • In the tutorial notebooks, you'll cover the advanced topics. Working locally, on Colab and on Binder.

Project pages

License

This project is licensed under the terms of the BSD 3-Clause License.

Development

See the development page.

Contributing

Work in progress!

Project details


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