Skip to main content

pyoso

WARNING: THIS IS A WORK IN PROGRESS

pyoso is a Python package for fetching models and metrics from OSO. This package provides an easy-to-use interface to interact with oso and retrieve valuable data for analysis and monitoring.

Current Features

  • Execute custom SQL queries for analyzing the OSO dataset

Installation

You can install pyoso using pip:

pip install pyoso

Usage

Here is a basic example of how to use pyoso:

from pyoso import Client

# Initialize the client
os.environ["OSO_API_KEY"] = 'your_api_key'
client = Client()

# Fetch artifacts
query = "SELECT * FROM artifacts_v1 LIMIT 5"
artifacts = client.query(query)

print(artifacts)

Documentation

For detailed documentation about the OSO dataset, please refer to the official documentation.

Future Plans

  • Create DataFrame wrapper for creating SQL query from data transforms

Metadata

Release files for pyoso 0.1.4

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

Source distribution (sdist)

Source distribution for pyoso 0.1.4
File Size Uploaded
pyoso-0.1.4.tar.gz 3.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyoso 0.1.4
File Interpreter ABI Platform
pyoso-0.1.4-py3-none-any.whl Python 3 none any Details

Total release size: 6.7 kB

Release files / pyoso-0.1.4.tar.gz

Download URL pyoso-0.1.4.tar.gz
Size 3.4 kB
Tags Source
SHA-256 checksum
How to use checksums
b58b548f3864c4aa362a02b1c1efd02aef92994bc57f2b820f4394f0b5905705
BLAKE2b-256 checksum
How to use checksums
40a5ebc6edb59f9e0dbec340c358f922a3098e59594fb0957d9204e2c5dc0a42
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.6.1

Release files / pyoso-0.1.4-py3-none-any.whl

Download URL pyoso-0.1.4-py3-none-any.whl
Size 3.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5137e0f821702c67bce435eaac1e7c5c6a83f8b797d0cdc434a427f4d97ee8a5
BLAKE2b-256 checksum
How to use checksums
d9428efb2bd855f88644876d80bdf2b550ffbefbe50c74867409e6dd3d25752b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.6.1
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page