Recent changes in W3C security standards, and their implementation in browsers, have affected how and whether Web SAMP works from HTTP or HTTPS web applications. I will describe hub implementation changes made to accommodate these, and summarise the state of play for service providers wishing to offer SAMP functionality from their web pages

I will report the results of some ongoing experiments in TOPCAT/STIL working with the MIVOT annotations and MANGO DM described in Laurent's preceding talk. The idea is to extract and make use of astrometry information encoded in VOTables. I will describe progress so far and present some implementation feedback on use of MIVOT and MANGO that may be useful for the Apps and DM WGs.

The present decade will be marked by growth of large survey catalogs, both in their number and scale (e.g. LSST, Roman, SPHEREx and others). Joint analysis of large catalogs has historically shown itself to be tremendously useful, with its importance likely to rise even further. Yet, with the increase in scale towards PBs of data, joint analysis — even at a catalog level — becomes a complex data management problem that few astronomers are equipped to tackle with present-day technology. At 2023 Bologna IVOA we presented an experiment (provisionally) called HiPSCat, a format for efficient and queryable storage of large datasets. The goal of the format is to enable balanced spatial partitioning and enables scalable serving of PB-scale datasets (via HTTP) using Parquet for efficient storage. Since then, we have developed a Python framework for distributed querying of such datasets (LSDB), begun experimental deployment on the LINCC (LSST Interdisciplinary Network for Collaboration and Computing) Science Platform and the NASA Astrophysics Science Platform, and collected feedback from a number of test users. In this talk, we'd provide a quick update on lessons learned, the status of the format, and demo the available tools. We're looking for feedback and collaboration opportunities, and pathways towards IVOA discussions and standardization of such ideas.

Jdaviz visualization app

NASA's HEASARC archive is collaborating with STScI to include VO functionality into Jdaviz, the official Jupyter data analysis and visualization tool for the JWST mission and MAST archive. This demo will show a functional prototype of a Virtual Observatory plugin developed for Jdaviz to allow integrated archive querying and loading of VO image assets into the JWST tool.