Skip to main content

EMHealth is a Python package designed for continuous remote monitoring of the performance and health metrics of Thermo Fisher Scientific electron microscopes.

Project description

PyPI release License Supported Python versions Downloads

Introduction

EMHealth is a Python package designed for continuous remote monitoring of the performance and health metrics of Thermo Fisher Scientific electron microscopes. It offers flexible options to import Health Monitor data - either manually or automatically - and provides tools to query, visualize, and set up alerts. With integrated interactive Grafana dashboards, it helps you easily analyze and understand your system metrics.

https://em-health.readthedocs.io/en/latest/_images/dash-overview.png

Documentation

The source code is available at https://github.com/azazellochg/em_health

The documentation can be found at https://em-health.readthedocs.io

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

em_health-0.1a1.tar.gz (2.3 MB view details)

Uploaded Source

Built Distribution

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

em_health-0.1a1-py3-none-any.whl (121.2 kB view details)

Uploaded Python 3

File details

Details for the file em_health-0.1a1.tar.gz.

File metadata

  • Download URL: em_health-0.1a1.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for em_health-0.1a1.tar.gz
Algorithm Hash digest
SHA256 d571a3a0ef6e75485eedcb644bb58b4e68a9bdb9603efa35da425e1fe927b4ac
MD5 3f99be7362ea28f216781c10063aa193
BLAKE2b-256 8731a0eb3502bb2f78ad5a26901b4eaf2e331621e9057334d2623eb98fc6a2e4

See more details on using hashes here.

Provenance

The following attestation bundles were made for em_health-0.1a1.tar.gz:

Publisher: publish_and_tag.yml on azazellochg/em_health

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file em_health-0.1a1-py3-none-any.whl.

File metadata

  • Download URL: em_health-0.1a1-py3-none-any.whl
  • Upload date:
  • Size: 121.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for em_health-0.1a1-py3-none-any.whl
Algorithm Hash digest
SHA256 817b4c755a8863ae3e6abe5832232414c48e445d3b4a93da5ccf77725598faf8
MD5 672d577991c06b4de08a40fbe18b393d
BLAKE2b-256 2d7f1f26d3f974c92b24abebb4626db73a39ab3ba58be91c308097ea93638218

See more details on using hashes here.

Provenance

The following attestation bundles were made for em_health-0.1a1-py3-none-any.whl:

Publisher: publish_and_tag.yml on azazellochg/em_health

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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