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A lightweight experimentation toolkit for data scientists.
Designed to be accessibile, fast and robust. stratosphere
lets you:
s.define(name="experiment", funcs=[step1, step2, step3])
s.execute()
SQL
, Pandas
or Python
How is it possible?
On Python >= 3.8.0
:
pip install "stratosphere[complete]" --upgrade
# Install everythingpoetry add stratosphere@latest --extras complete
# Install everythingOn 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.
This project is licensed under the terms of the BSD 3-Clause License.
See the development page.
Work in progress!
FAQs
A lightweight experimentation toolkit for data scientists.
We found that stratosphere demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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