Hi Nipuna, This is a good start. Can we explore how we can enable these data availability through jupyter lab and vs code extensions? For example, if we have a jupyter lab extension for Airavata to pick the data item on demand and mount the data directly into the jupyter lab, that would be a great addition. Disregarding how we can do it technically, you can focus on drawing up designs from the ux perspective.
Thanks Dimuthu On Fri, Apr 4, 2025 at 1:48 PM Nipuna Bandara <ndesha...@gmail.com> wrote: > Dear Dev Team, > > I’m Nipuna Deshan Bandara, a final-year undergraduate at Uva Wellassa > University of Sri Lanka, pursuing a degree in Computer Science and > Technology. I'm deeply passionate about the UI/UX field, and I'm > enthusiastic about contributing to the Apache Airavata project. > > I’ve been working on the data catalogue component and have designed the > user flow for it. I’ve attached a YouTube link demonstrating the flow I > created .(https://youtu.be/oXXU1dT1yYE) > > In first screen it allows users to search for datasets and also browse > them using the category bar. The datasets are displayed in a table view, > and each entry provides options to preview the dataset, download it as a > ZIP file, or generate code snippets. When the download button is clicked, > the dataset is downloaded manually. The code button opens a pop-up window > containing ready-to-use code in multiple options of languages such as > Python, Java, and JavaScript. This helps users fetch the dataset directly > using code. The preview button navigates to a detailed view of the dataset, > showcasing its description, key features, and a sample preview. > > Looking forward to your feedback and suggestions. > > Best regards, > Nipuna Deshan Bandara > www.linkedin.com/in/nipuna-bandara >
