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In this session from FOSS4G NA 2025, Thomas Machler from Planet introduces a powerful solution for "tame dependency hell"—Pixi. As a fusion of UV and Conda, Pixi is designed to handle the complex intersection of Python dependencies and system-level binaries that often plague geospatial developers.
Thomas shares his firsthand experience at Planet, where managing custom GDAL versions and GPU-supported libraries like TensorFlow required hours of manual configuration. He demonstrates how Pixi automates this process by merging PyPI and Conda dependency trees into a single, reliable lock file, ensuring your local environment perfectly matches your CI/CD and production Docker images.
Highlights:
🛰️ What is Pixi? A deep dive into the "fusion of UV and Conda" that supports multiple platforms and languages
🔄 Beyond Python: Managing system-level binaries (like GDAL) that standard tools like UV or Poetry can't handle alone
🧩 Feature Sets: How to test your project against multiple GDAL versions (3.8 through 3.11) simultaneously using Pixi features
⚙️ Eliminating Makefiles: Using Pixi Tasks to centralize environment activation and CI/CD commands in one file
🌐 Docker Optimization: Building sleek, high-performance images by separating build essentials from runtime environments
🏢 Mono-repo Support: Managing conflicting dependencies and different Python versions within the same repository
For more content like this check out www.projectgeospatial.com
#Pixi #FOSS4G #Geospatial #Python #GDAL #Planet #OpenSource #SoftwareEngineering #Docker #Conda #PackageManagement #Rasterio #ProjectGeospatial #GIS #DevOps #DataScience
The segment provides a broad understanding of theCivil Applications Committee (CAC), which serves as a crucial link between different sectors to facilitate the use of advanced technologies for various public benefits. It highlights the CAC's role inenabling federal civil agencies to access and utilize remote sensing data and capabilities from theIntelligence Community (IC) and theDepartment of Defense (DoD), as well as commercial sources, for civil applications such as disaster relief and management.
This episode and more can be found at www.projectgeospatial.org.
In this episode, Project Geospatial explores the USGS Landsat year in review.
Summary
Project Geospatial presents an AI experiment aggregating and analyzing our content captured from FedGeoDay 2024. Not all content is covered but this definitely covers the highlights and major themes of the conference.
Summary
Keywords
Here's a podcast description for our GEOINT 2024 recap episode, highlighting major themes from the conference. This is an AI podcast experiment aggregating our content helping analyze and bring focus on what's important. Tune in and listen in.
From above the clouds to boots on the ground, how is geospatial technology revolutionizing disaster response and recovery?
Qiusheng Wu’s presentation on Leafmap at FOSS4G NA 2024 highlights its capabilities for interactive geospatial data visualization using Python. Leafmap simplifies data access and mapping tasks, making it ideal for users at all skill levels.
Jason Gilman from Element 84 discusses the integration of large language models (LLMs) with geospatial data to enhance search and analysis capabilities in his talk at FOSS4G NA 2024.
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