Skip to main content

Framework-agnostic neural signal monitoring

Project description

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 details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

onex_sdk-0.1.5.tar.gz (13.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

onex_sdk-0.1.5-py3-none-any.whl (14.5 kB view details)

Uploaded Python 3

File details

Details for the file onex_sdk-0.1.5.tar.gz.

File metadata

  • Download URL: onex_sdk-0.1.5.tar.gz
  • Upload date:
  • Size: 13.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for onex_sdk-0.1.5.tar.gz
Algorithm Hash digest
SHA256 d9c3c19657790ef72220066428331388f9356147850905d4775701660b2d140b
MD5 8156877570857c23e8fe6ef9541a145c
BLAKE2b-256 59a9b0166b0f08a22d72fe76dc7914a994152034ba229182794235a1e0436be3

See more details on using hashes here.

File details

Details for the file onex_sdk-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: onex_sdk-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 14.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for onex_sdk-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 6f78fc15d853345403c529a9d37130badcd00082de8dd26bfb2d637e51a43282
MD5 e62511693a3c23986babcbba254e1550
BLAKE2b-256 9adb06b58052ba238db1232660a0643b26994544677780e9a6336387ccfe2963

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page