stratosphere 0.1.16

A lightweight experimentation toolkit for data scientists.

Stratosphere

A lightweight experimentation toolkit for data scientists.

Designed for simplicity, efficiency and robustness. stratosphere lets you:

1. Define programmatically your experiments
2. Execute them in parallel with different backends
3. Track their real-time metrics and final results
4. Store them as serialized objects and tabular data in your database(s)
5. Query them with the best-suited interface: SQL, Pandas and Python

Built on top of solid components: SQLAlchemy, SQLite, Pandas, Joblib and Dask.

Installation

It officially requires Python >=3.8.15,<3.11, but it can be forced to work smoothly with Python 3.7.15.

• With PyPI: pip install stratosphere --upgrade
• With Poetry: poetry add stratosphere

To run it on Google Colab, install it as follows:

# Install dependencies/update packages
!pip install pandas joblib sqlalchemy sqlalchemy-utils ulid-py psycopg2-binary \
  cloudpickle colorama tabulate ipywidgets tqdm scikit-learn "dask[complete]" --upgrade
# Install the latest compatible stratosphere version, ignoring the python version and dependencies
!pip install stratosphere==0.1.13 --ignore-requires-python --no-dependencies

Documentation

• Try it now!

• Follow the tutorial notebooks to learn the basic concepts. You can run the tutorial notebooks in Colab as follows:

  1. Open the notebook on Github, and substitute github.com with githubtocolab.com in the URLs
  2. Add a cell at the beginning, installing stratosphere following the Installation instructions for Colab

Project pages

• PyPI
• Github

License

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

Development

See the development page.

Contributing

Work in progress!