Posts about new Renku features, platform design, reproducibility in data science, solutions to engineering challenges, and Renku use-cases.
This month has been jam packed with new Renku features! Here are the highlights of the ones we're most excited about to help you collaborate in research and teaching.
Need a specific set of packages in your Renku session? Now you can customize exactly what's
installed in your session with Renku-built environments. Simply connect a code repository containing
a file with your project dependencies (e.g. an environment.yml), and let Renku build your session
environment (aka docker image) for you!
Join the 3rd Renku Users Meeting to learn more about Renku 2.0 and how others leverage Renku for research and teaching. We will also share the features prioritised for the second half of 2025. We are happy to host a open forum, where you can voice your opinion and challenges regarding collaborative open research and teaching.
When: June 23rd from 13:00 CET until 16:30 CET
Where: ETH Rat Bern, Room H403, 4th Floor and Zoom
Register here to get your link to the event.
The wait is over! After a year of dedicated work and six months of testing in beta, Renku 2.0 is now open for Early Access. This means our entire user community is invited to explore the new and improved version of our open-source collaborative computing platform. Whether you're a seasoned Renku user or new to the platform, Renku 2.0 offers exciting possibilities for your research and teaching.
Are you a seasoned Renku user who is curious to know the key differences between Renku 1.0 and 2.0? Here's a summary of what's new.
We’ve been busy behind the scenes, and now it’s time to share some of the exciting updates we’ve rolled out over our last few releases. These features are part of the Renku 2.0 beta, designed to to empower collaboration and make it easier to connect and share data, code, and compute resources. Here’s a quick tour of what’s new.
Renku has evolved considerably over the past several years; from our strong initial focus on computational reproducibility to our current goals of building connections within and across communities. As we engaged with various research communities, we understood that one of the main struggles researchers face in collaborative projects is consolidating a scattered collection of resources across various providers, tools, and technologies.
