Pyxet Documentation#
pyxet is a Python library that provides a pythonic interface for XetHub. Xethub is simple git-based system capable of storing TBs of ML data and models in a single repository, with block-level data deduplication that enables hundreds of versions of similar data to be stored without requiring much storage.
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Features#
pyxet provides 3 components:
1. A fsspec interface that allows compatible libraries such as Pandas, Polars and Duckdb to directly access any version of any file in a Xet repository. See below for some examples.
2. A command line interface inspired by AWSCLI that allows files to be uploaded to and downloaded from Xet repository conveniently and efficiently.
3. A file system mount mechanism that allows any version of any Xet repository to be mounted. This works on Mac, Linux, and Windows 11 Pro.
Installation#
The easiest to authenticate is to signup on XetHub and obtain a username and access token. You should write this down.
Set up your virtualenv with:
`sh
$ python -m venv .venv
$ . .venv/bin/activate
`
Then, install pyxet with:
`sh
$ pip install pyxet
`
Authentication#
There are three ways to authenticate with XetHub:
Command Line#
xet login -e <email> -u <username> -p <personal_access_token>
Xet login will write to authentication information to ~/.xetconfig
Environment Variable#
Environment variables may be sometimes more convenient:
export XET_USER_EMAIL = <email>
export XET_USER_NAME = <username>
export XET_USER_TOKEN = <personal_access_token>
In Python#
Finally if in a notebook environment, or a non-persistent environment, we also provide a method to authenticate directly from Python. Note that this must be the first thing you run before any other operation:
import pyxet
pyxet.login(<username>, <personal_access_token>, <email>)
Quickstart#
Read a CSV file:
import pyxet # make xet:// protocol available
import pandas as pd # assumes pip install pandas has been run
df = pd.read_csv('xet://XetHub/titanic/main/titanic.csv')
Checkout the rest of the documentation for detailed usage examples!
Encountering Issues?#
Please file a bug here, or report on our Discord channel! We are constant making improvements, especially with usability and performance.
Introduction
API Reference
Use Cases
API Documentation