State of GRASS
07-17, 12:00–12:30 (Europe/Sarajevo), SA01

Join us for a lively overview of the current state of the GRASS project, where community meets cutting-edge geospatial technology. Whether you're a longtime power user or a newcomer curious about GRASS, this talk will highlight the major strides the project has made in the past year – from revitalized governance and community growth to technical breakthroughs – and offer a glimpse into what's next.

During the talk, we will address how GRASS has strengthened its governance and support structure by bringing in new members to bolster sustainable leadership and new fiscal sponsorship with NumFOCUS. We will also review GRASS community-building initiatives, such as the NSF-backed efforts that allowed GRASS to establish a mentoring program for new contributors, support our Student Grant program, and hold the GRASS Developer Summit 2025 in Raleigh, NC. We will highlight this past summer's Google Summer of Code project, which demonstrates how community mentoring feeds innovation.

The talk will also address GRASS's new logo and branding initiative over the past year, aiming to give the project a modern look while keeping its iconic elements. Notably, "GRASS GIS" is now officially just GRASS – a simpler name that the community has used colloquially for years. To celebrate, the team launched an online swag shop with GRASS-themed apparel, stickers, and more. We will also look at recent strides in community outreach and learning resources, such as a new tutorial website and the modernization of GRASS's documentation platform.

On the development side, we will show off what the GRASS development team has been hard at work delivering in terms of new features, improved performance, and better integration as part of GRASS 8.5. Under the hood, the team made significant code quality and security improvements, fixing issues flagged by automated linters and code scanners. These efforts pave the way for stricter continuous integration checks and a more robust codebase. The build system is also being modernized: GRASS is transitioning to CMake for easier compilation and maintenance, and an official Conda package is on the way, simplifying installation for Python/R data scientists and lowering entry barriers.

As we celebrate these achievements, we're also looking ahead. The GRASS roadmap outlines ambitious goals for the next few years. We plan to maintain annual releases (GRASS 8.6 is already on the horizon for 2026) and continue improving distribution and integration – think one-click installs via Conda, tighter bridges to QGIS and R, and refined Python and R APIs for smooth scripting. Sustainability remains a core focus: the project actively pursues new grants, sponsors, and community donations to ensure long-term development while spreading infrastructure knowledge and lowering maintenance overhead to avoid burnout.

In short, the state of GRASS is strong and dynamic. This talk will offer an informative yet exciting tour of the project's recent milestones across community and technology. We invite everyone – from newbies to veteran developers – to see how far GRASS has come and to get inspired about where it's heading. Learn about the latest capabilities, meet the people behind the project, and discover how you can be part of the next chapter of GRASS!


Indicate what is (are) the open source project(s) essential in your talk

GRASS.

Assign a number between 1 and 3 indicating the level of technical complexity of your contribution.

1 - no previous knowledge needed

Select at least one general theme that best defines your proposal

State of software, or new features

I make my conference contribution available under the CC BY 4.0 license. The conference contribution comprises the abstract, the text contribution for the conference proceedings, the presentation materials as well as the video recording and live transmission of the presentation – yes

I work at the Geodetic Institute of Slovenia in Ljubljana, contributing to various projects as a Data Scientist, Remote Sensing Analyst, GIS Coordinator, and Specialist. My work primarily revolves around the analysis of multispectral, hyperspectral, and SAR imagery, as well as LiDAR point clouds - but I enjoy tackling data problems of all kinds. I rely heavily on Python, GRASS, GDAL, PDAL, QGIS and PostgreSQL for data torturing and distribution. I love Linux. I currently serve as the secretary of the Slovenian OSGeo Local Chapter.