It can be useful to be able to keep some files in your workflow’s workspace only for a limited period of time, for example if your workflow generates huge temporary files that consume your disk quota. It is always possible to remove any unnecessary workspace files manually, but it may be quite a tedious process. Therefore, we are introducing the possibility to define custom workspace file retention rules to allow fully automated deletion of unnecessary files inside workspaces.

The usual way of creating, executing and managing REANA workflows is by means of the reana-client command-line tool. However, installing reana-client can be painful in certain situations, for example when it conflicts with your other Python project dependencies and you don’t want to be switching Python virtual environments all the time. In these cases, using a fully standalone reana-client executable would be desirable.

If you host your analysis workflows on publicly accessible external sources such as source code repositories (GitHub, GitLab), digital repositories (Zenodo), or simply other locations on the web (generic URL), it is now possible to launch your workflows directly on the web using the brand new REANA launcher web page.

We are glad to announce the release of REANA 0.8.1, a minor update that allows users to set job timeout limits, improves workspace web page file name filtering, allows displaying workspace HTML reports directly, and more!

We are thrilled to announce the support for running Snakemake workflows on REANA reproducible analysis platform, starting from the REANA 0.8.0 release. Snakemake joins CWL and Yadage as another complete workflow definition language that REANA users can use to run their analysis workflows.