Also in Lonboard, new logo! Designed by @gus, who also designed the @developmentseed Cloud Native Zine

https://developmentseed.org/blog/2025-02-17-cloud-data-zine/
https://zines.developmentseed.org/zines/cloud-native/

Lonboard v0.15 now supports geocoding! Easily jump the map to locations, using any geocoder service of your choice.

https://developmentseed.org/lonboard/latest/blog/2026/03/13/releasing-lonboard-015/

New Lonboard release makes the first step towards rich 𝐫𝐚𝐬𝐭𝐞𝐫 data visualization in Python, starting with PMTiles!

- New RasterLayer, supporting PMTiles input via async-pmtiles
- New support for categorical data filtering on the GPU

Release post: https://developmentseed.org/lonboard/latest/blog/2026/02/12/releasing-lonboard-014
Full Changelog: https://developmentseed.org/lonboard/latest/CHANGELOG/#0140-2026-02-11

Building on Vincent Sarago's work, I updated and published 𝐚𝐬𝐲𝐧𝐜-𝐩𝐦𝐭𝐢𝐥𝐞𝐬, an asynchronous PMTiles reader for Python: https://github.com/developmentseed/async-pmtiles

This integrates with Obstore for efficiently reading remote files and Obspec for extensibility.

Published a new version of async-geotiff:

- Support for reading band-interleaved GeoTIFFs and Cloud-Optimized GeoTIFFs
- Initial support for decoding LERC, LERC_DEFLATE, LERC_ZSTD images
- Fix computation of image bounds and resolution for rotated images

https://github.com/developmentseed/async-geotiff/releases/tag/v0.2.0

Introducing 𝐀𝐬𝐲𝐧𝐜-𝐆𝐞𝐨𝐓𝐈𝐅𝐅, a new high-level library for reading GeoTIFFs and Cloud-Optimized GeoTIFFs. https://developmentseed.org/async-geotiff/latest/blog/2026/02/03/introducing-async-geotiff/

- High-level & easy-to-use
- Load from full-resolution or reduced-resolution overviews
- Fast, with a Rust core
- Uses a non-blocking thread pool for image decoding
- Integration with NumPy, PyProj, Affine, & Morecantile
- Remote data support with Obstore
- Lightweight with no GDAL dependency
- Full type hinting
- Broad decompression support

A @developmentseed project.

We've released a new version of async-tiff. Fast, asynchronous reading of TIFFs, GeoTIFFs and Cloud-Optimized GeoTIFFs in Rust and Python. https://developmentseed.org/async-tiff/latest/

- New Array class for zero-copy data sharing between Rust and numpy
- Easily separate CPU-bound and IO-bound work, with native support for decoding image data on a Rust thread pool
- Revamped block caching for reading metadata
- Expanding tests
- Revamped Rust API for fetching TIFF metadata and image data

https://github.com/developmentseed/async-tiff/releases/tag/py-v0.4.0

Visualize a mosaic of NAIP imagery loaded from Microsoft Planetary Computer's STAC Collection, all in your browser, *no server involved*.

Switch between true color, false color infrared, and NDVI renderings. https://developmentseed.org/deck.gl-raster/examples/naip-mosaic/

Each of these tiles loading are individual Cloud-Optimized GeoTIFFs, loaded directly from Azure. Only the COGs in viewport are loaded and rendered.

Built at @developmentseed with deck.gl-raster: https://github.com/developmentseed/deck.gl-raster