Skip to main content

Control system agnostic framework for building Device support in Python that will work for both EPICS and Tango

Reason this release was yanked:

wrong tag format

Project description

FastCS Logo

CI Coverage PyPI License

FastCS

Source https://github.com/DiamondLightSource/FastCS
PyPI pip install fastcs
Documentation https://diamondlightsource.github.io/FastCS
Releases https://github.com/DiamondLightSource/FastCS/releases

FastCS is a control system agnostic framework for building Device support in Python that will work for both EPICS and Tango without depending on either.

See https://diamondlightsource.github.io/FastCS for more detailed documentation.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

fastcs-2025.8.1b3.tar.gz (105.0 kB view details)

Uploaded Source

Built Distribution

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

fastcs-2025.8.1b3-py3-none-any.whl (60.1 kB view details)

Uploaded Python 3

File details

Details for the file fastcs-2025.8.1b3.tar.gz.

File metadata

  • Download URL: fastcs-2025.8.1b3.tar.gz
  • Upload date:
  • Size: 105.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for fastcs-2025.8.1b3.tar.gz
Algorithm Hash digest
SHA256 0994c11b43823af38e21ddbba4be0efd49ca803f64e2428b84ca1e0aa3577f85
MD5 5c4b5205045f49e98f462a3432d0000f
BLAKE2b-256 3828cb5f77493607b33f163aa63e5331c9a1ac1bdbb99601fbea21759c221bf5

See more details on using hashes here.

File details

Details for the file fastcs-2025.8.1b3-py3-none-any.whl.

File metadata

  • Download URL: fastcs-2025.8.1b3-py3-none-any.whl
  • Upload date:
  • Size: 60.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for fastcs-2025.8.1b3-py3-none-any.whl
Algorithm Hash digest
SHA256 360120b55b69849bcad4139a823d43958b70389db21b5b5f93830f21ed4b4b48
MD5 47ae0c769795923b260d59f3f8014d40
BLAKE2b-256 47608e9183509462fe0d7abcc214b5534b7315a97e99ad87f74737e69b9c93ca

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