UKRI Science and Technology Facilities Council's repositories
fparser
This project maintains and develops a Fortran parser called fparser2 written purely in Python which supports Fortran 2003 and some Fortran 2008. A legacy parser fparser1 is also available but is not supported. The parsers were originally part of the f2py project by Pearu Peterson.
netbox-ip-status
Show when an IP address was last seen, and its actual reverse DNS record in Netbox
ral-ceph-tools
A collection of tools for use with ceph produced at STFC RAL
ansible-jupyter
Config for deploying a jupyter instance
pre-commit-hooks
Custom pre-commit hooks for use within our projects
cloud-capi-values
Contains pre-set Cluster API values optimised for STFC Cloud deployments
cloud-openstack-horizon
SCD OpenStack Cloud - themes, dashboards, and panels
openday-heatmap
A heatmap for the Daresbury Openday.
SCD-OpenStack-Utils
Makes user references from a specified LDAP group to OpenStack project
cloud-deployed-apps
A collection of charts and values deployed on STFC Cloud Clusters
cloud-grafana-dashboards
Grafana Dashboards for the STFC Cloud
cloud-image-builders
Builders for various cloud images
cloud-ops-tools
A collection of tools used by the cloud ops teams
st2-cloud-pack
A bespoke pack for SCD Cloud containing elements for managing Openstack and supporting infrastructure
tales-from-the-crypto
A collection of random hacks associated with certificates and/or crypto
aiida-mlip
machine learning interatomic potentials aiida plugin
aiida-registry
Find plugins for AiiDA
alc_trajectory
A code to compute orientational correlation functions (from MD trajectories) for reactive and non-reactive systems whose sizes are compatible with DFT simulations. For reactive systems, it is also possible to compute transfer correlation functions as well as the trajectory of reactive species.
azimuth-charts
Helm charts and repository for use with Azimuth (https://github.com/stackhpc/azimuth/)
cloud-pe-jupyterhub
Playbooks to deploy a Jupyterhub instance on the STFC Cloud for Public Engagement
mace
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
netbox-to-opengear
Update the configuration of your Opengear serial consoles with data from Netbox
xrootd
The XRootD central repository