Skip to main content

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.

Metadata

Release files for onex-sdk 0.1.41

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

Source distribution (sdist)

Source distribution for onex-sdk 0.1.41
File Size Uploaded Provenance
onex_sdk-0.1.41.tar.gz 56.1 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for onex-sdk 0.1.41
File Interpreter ABI Platform
onex_sdk-0.1.41-py3-none-any.whl Python 3 none any Details

Total release size: 109.7 kB

Release files / onex_sdk-0.1.41.tar.gz

Download URL onex_sdk-0.1.41.tar.gz
Size 56.1 kB
Tags Source
SHA-256 checksum
How to use checksums
c0df4f822ca796019a58fefeb9c958a84d0e28d0a1a07f499b34cfa8ddfbe3eb
BLAKE2b-256 checksum
How to use checksums
718e6523e71f05e529a63f89a776f8b352a1dabb3c1b35ab000829eba5a4d42c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.9

Release files / onex_sdk-0.1.41-py3-none-any.whl

Download URL onex_sdk-0.1.41-py3-none-any.whl
Size 53.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0a60e30e409e6a621089c8c966044ba6336611688affe48b3ad9ec273a0f80d1
BLAKE2b-256 checksum
How to use checksums
2e3c8f92a299e09037e6d05b1136d9e86732ab48ae3ad5de4d7c812987f08b2e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.9

Security for onex-sdk 0.1.41

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.41 This release

2 release files No provenance

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