JupyterGIS released version 0.16 with collaborative editing for maps and story presentations, support for remote processing through openEO, and new geospatial data formats. The update lets multiple users edit the same map and narrative document simultaneously while visualizing large datasets without downloading them locally.

• Real-time collaborative editing now works for both Story Maps (narrative presentations) and vector layer data, with changes synced instantly across users
• OpenEO integration lets you visualize remote processing pipelines directly as map layers without exporting intermediate results, using tile-based lazy loading
• New symbology model based on Grammar of Graphics provides flexible styling for visual properties like color, size, and opacity instead of fixed options
• Added support for GeoZarr (cloud-native multidimensional datasets) and GeoPackage formats, plus an R API for building geospatial workflows outside Python

OpenClaw released a major overhaul built by nearly 1,000 contributors that simplifies setup, rebuilds the browser experience, and adds multiplayer collaboration features. The 50% increase in pull requests took seven weeks instead of their usual daily releases because the team rewrote both the codebase and their shipping process simultaneously.

• Installation now starts with what's already on your computer (existing API keys, local models, ChatGPT/Claude subscriptions) rather than requiring fresh setup, letting users reach their first conversation faster
• The browser app was rebuilt as a primary experience where users can set up workflows, return to ongoing work, and follow live progress instead of treating it as secondary
• Shared cloud sessions enable multiplayer workflows—teams can collaborate on tasks with full context intact, which the OpenClaw team itself used while building this release
• The update spans every part of the system: installation, messaging, memory, skills, models, automations, plugins, security, and native apps