Maintenance

New Features & Improvements

Python-Based Jobs
Jobs no longer have to be defined only as bash scripts. You can now create jobs using a Python script directly, making it easier to write, read, and maintain more complex logic. This is especially useful for data processing, analysis pipelines, and workflows that are already Python-centric.

More Robust File Uploading
We’ve fixed an issue where the webapp file uploader could drop files during upload. File uploads are now more reliable and robust,...

New Features & Improvements
Conda Support for Python Environments
Python environments now support conda. You can define your dependencies using an environment.yml file, making it easier to manage packages, ensure reproducibility, and align your environments with existing conda-based workflows.
Data File Browser
The data file browser has been cleaned up for easier navigation. Experiments and Projects are now easier to explore, helping you find and manage your data more efficiently.
Enhanced In...

New Features & Improvements
Clearer UX and Better Error Feedback
We’ve streamlined the user experience across the platform, with clearer messages when something goes wrong. Errors and edge cases are now explained more clearly, helping you understand what happened and how to move forward.
Folder Management: Archive, Download, and Delete
You can now manage folders more flexibly. Archiving, downloading, and deleting folders is supported, making it easier to organize your data, clean up unused st...

Clearer Error Messages for Failed Jobs
When a job fails, DECTRIS CLOUD now provides more informative and actionable error messages. This makes it easier to understand the cause of failures, troubleshoot issues, and get your workflows back on track more quickly.
Platform-Wide Stability Improvements
We’ve made multiple stability and reliability improvements across the platform. These under-the-hood enhancements reduce unexpected behavior and improve overall performance, ensuring a more robust e...

Share Job Results with a Simple Link
Sharing job results is now easier than ever. You can quickly share an experiment or project to give others access to the related job results. In addition, you can copy a direct link to a job result and send it to anyone: even users who are not logged in to DECTRIS CLOUD can view the shared result.
This makes collaboration smoother, whether you’re sharing findings with colleagues, external partners, or stakeholders who just need to review the outcome.
Searc...

Improved Session File Consistency with Symlink Support
We’ve fixed an issue related to symbolic links (symlinks) in sessions. Symlinks now behave correctly when restarting a session, ensuring that file references remain consistent across session restarts. This improves reliability when working with linked data or structured file setups inside your environment.

File Management and Archiving
The file browser search is now more reliable and easier to navigate. We also improved the download capability and refined permissions to make team collaboration more seamless.

General Bug Fixes and Stability Improvements
As always this release addresses several UI and stability issues.