OneX Observability SDK

The OneX SDK provides framework-agnostic utilities to monitor neural signals and export them to the OneX observability platform. It detects popular machine learning frameworks (PyTorch, TensorFlow, JAX) and attaches lightweight instrumentation to running models.

Installation

pip install onex-sdk

Optional extras are available for framework-specific monitoring:

# PyTorch support
pip install onex-sdk[pytorch]

# TensorFlow support
pip install onex-sdk[tensorflow]

# JAX support
pip install onex-sdk[jax]

Quick Start

from onex import OneXMonitor

monitor = OneXMonitor(api_key="your-api-key")
model = monitor.watch(model)

Development

Create a virtual environment and install the development requirements:

pip install -r requirements-dev.txt

Then run the tests with pytest.

Project links

Key dates

PyPI data
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  • Released:
Newer release available (0.1.38)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for shuja.ahmed from gravatar.com shuja.ahmed

Credits

Author: OneX AI Team

License

MIT License (MIT)

Requires

Python >=3.8

Provides Extra

pytorch tensorflow jax all dev

Tags

machine-learning observability monitoring mlops

Classifiers

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