Released Lonboard v0.13!

- New layer types: H3, S2, Geohash, A5 and fixed HeatmapLayer
- Render data layers beneath Maplibre text labels
- Map UI controls: scale, fullscreen, navigation
- Significant performance improvements: fixing earlier regressions

developmentseed.org/lonboard/lat...

New blog post! kylebarron.dev/blog/fast-py...

This dives into performance pitfalls of Python bindings, why projects like Lonboard are so fast, and why I care about Apache Arrow so much. The post is high level and you don't need to know C/C++/Rust to understand it!

New Lonboard release and new demo! Integrating marimo and Apache DataFusion to visualize the NYC taxi dataset. developmentseed.org/lonboard/lat...

New example notebook on visualizing Spatially-Partitioned GeoParquet with Lonboard, Obstore, and GeoArrow-Rust, using Overture Maps Foundation data! developmentseed.org/lonboard/lat...

When the Delta Lake Python bindings take a required dependency on your library 😅. 2.6M downloads a month! 😱 Guess I'll never be making a breaking release now!! pypistats.org/packages/arr...

arro3-core is 15x smaller in your environment than pyarrow! kylebarron.dev/arro3/latest/

With today's Zarr Python release, switch to the new obstore-based backend for **3x faster** reading from S3, Google Cloud Storage, and Azure than the default fsspec backend.

zarr.readthedocs.io/en/stable/us...
developmentseed.org/obstore/late...

I'm looking forward to the Cloud Native Geo conference next month!

I'll be presenting on Obstore and a growing ecosystem of Python libraries that enjoy faster, simpler access to cloud resources.

Spatial indexes, and RTrees specifically, are at the core of geospatial software.

But ever wondered how an RTree is actually implemented?

In this post we’ll dive into the implementation of Flatbush, an elegant, blazing-fast, memory-efficient RTree.

kylebarron.dev/literate-fla...

Now it's my turn!

Got the *most basic* proof of concept working for spatial support in DataFusion. Surprisingly easy to piece everything together

😅