Find out how you can use REANA to describe, run, preserve and reuse your analyses.
User GuideInstall and manage the REANA reusable analysis platform on your own compute cloud.
Administrator GuideUnderstand REANA source code, adapt it to your needs, contribute changes back.
Developer GuideUpgrades Snakemake to version 7.
Improves job submission performance.
Improves clean up of deleted and failed workflows.
November 24th-29th 2024: REANA runs a reproducible workflow training at the EURO-LABS Advanced Training: Open Science and Data Management in Ebernburg, Germany. [event] [slides] | |
November 4th-8th 2024: REANA runs a reproducible workflow training at the 1st CERN School of Computing on IT Services in Ferney-Voltaire, France. [event] [slides] [exercises] | |
October 19th-25th 2024: REANA participates at the Conference on Computing in High Energy and Nuclear Physics (CHEP 2024) in Krakow, Poland. [event] [slides] | |
October 7th 2024: Jelizaveta presents Improving latency and scalability of the user runtime job log collecting and exposure in REANA at the IRIS-HEP Fellows Final Presentations event. [event] [slides] | |
October 2nd-3rd 2024: REANA participates at the 4th DPHEP Collaboration Workshop in Geneva, Switzerland. [event] [slides] | |
August 28th 2024: Andrii presents Analysis Grand Challenge on REANA at the IRIS-HEP Gap Year Final Presentations event. [event] [slides] | |
June 20th 2024: Presentation of REANA at the Swiss Reproducibility Network comuptational reproducibility seminar. [series] [slides] | |
June 18th-20th 2024: REANA participates at the Analysis Facilities Workshop in Garching, Germany. [event] [slides] | |
April 3rd-5th 2024: REANA participates at the Workshop on workflow languages for HEP analysis in Geneva, Switzerland. [event] [slides] | |
April 2nd 2024: REANA in the Analysis Facilities White Paper. [paper] | |
February 26th-March 1st 2024: REANA presents at the HSF Training on Analysis Pipelines. [event] [slides] | |
December 1st 2023: We have published a new paper Facilitating future open data reuse via continuous integration of actionable data analysis examples. [paper] |
Introduce role-based authorisation control models allowing to share workflows with colleagues.
Allow users to dynamically create Dask cluster necessary for their workflows.
Introduce new command-line client written in Go to improve performance and ease of use. Stabilise the REST API versioning.