Skip to main content

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

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-0.11.0.tar.gz (115.7 kB view details)

Uploaded Source

Built Distribution

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

fastcs-0.11.0-py3-none-any.whl (79.0 kB view details)

Uploaded Python 3

File details

Details for the file fastcs-0.11.0.tar.gz.

File metadata

  • Download URL: fastcs-0.11.0.tar.gz
  • Upload date:
  • Size: 115.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for fastcs-0.11.0.tar.gz
Algorithm Hash digest
SHA256 32b4dbed4dd37f349f081235b539cd029cb9a51bcc9267401e1f03e1e2e7aaa7
MD5 a71ac12deec7c626ec4de94e3e721bee
BLAKE2b-256 4e8a8dfecfc21985aea6498c1c909161cf67e08593bf0797c7e05b63a1b1c05c

See more details on using hashes here.

File details

Details for the file fastcs-0.11.0-py3-none-any.whl.

File metadata

  • Download URL: fastcs-0.11.0-py3-none-any.whl
  • Upload date:
  • Size: 79.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for fastcs-0.11.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4c192278abe21572502403e9d5fb3928a73e3504b00e83ba2cbfc69b043fbb7d
MD5 71b9a3f7151894f18f0b28369011fd45
BLAKE2b-256 f95293c9c355a424a02614f1ae819ff81c2bc54bfa1e96eae900ad741b499129

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