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Unbox AI | Python API Library

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What is it?

Unbox is a debugging workspace for ML & Data Science. Unbox combines and builds upon SOTA techniques in explainability, model and dataset versioning, synthetic data generation, data-centric testing and much more to form a powerful, unified platform for model development.

👉 Join our Slack community! We'd love to meet you and help you get started with Unbox!

This is the official Python library for interacting with the Unbox platform. Navigate here for a quickstart guide and for in-depth tutorials.

Main Features

This library's primary function is to enable you to easily package your models and datasets and add them to your Unbox account.

Installation

Install with PyPI (pip)

pip install --upgrade unboxapi

or install with Anaconda (conda)

conda install unboxapi --channel conda-forge

Documentation

The official documentation for this Python library can be found here.

Contributing

All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome! Just send us a message on Slack.

Release files for unboxapi 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for unboxapi 0.3.0
File Size Uploaded
unboxapi-0.3.0.tar.gz 24.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for unboxapi 0.3.0
File Interpreter ABI Platform
unboxapi-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 49.9 kB

Release files / unboxapi-0.3.0.tar.gz

Download URL unboxapi-0.3.0.tar.gz
Size 24.1 kB
Tags Source
SHA-256 checksum
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3b04b82197cc118ccbf60c49ea6b81d63f185d96b97b318f5912ba95d70230cc
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913d449204136de1da49796136637c03e1192860d5388a61f2950db93099438e
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.13

Release files / unboxapi-0.3.0-py3-none-any.whl

Download URL unboxapi-0.3.0-py3-none-any.whl
Size 25.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e379f768c97abeb435522e3ae686cf7bbebc7ad1a2ea83223a87a2f3ee0dff2d
BLAKE2b-256 checksum
How to use checksums
af528988a07bde7769d8ba1b8f3ecf84d654e0618021c3273d64677d69ad26f9
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.13
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