https://github.com/weiji14/cog3pio

Cloud-optimized GeoTIFF ... Parallel I/O 🦀
https://github.com/weiji14/cog3pio

cloud-optimized-geotiff georust geotiff ndarray numpy pyo3 rust

Last synced: about 2 months ago
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Cloud-optimized GeoTIFF ... Parallel I/O 🦀

• Host: GitHub
• URL: https://github.com/weiji14/cog3pio
• Owner: weiji14
• License: apache-2.0
• Created: 2024-02-26T07:07:58.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-03-20T06:25:56.000Z (about 1 year ago)
• Last Synced: 2025-03-28T16:04:32.053Z (about 1 year ago)
• Topics: cloud-optimized-geotiff, georust, geotiff, ndarray, numpy, pyo3, rust
• Language: Rust
• Homepage:
• Size: 112 KB
• Stars: 38
• Watchers: 5
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE-APACHE

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README

          
# cog3pio

[![docs.rs](https://img.shields.io/docsrs/cog3pio?label=docs.rs%20latest)](https://docs.rs/cog3pio)

[![crates.io](https://img.shields.io/crates/v/cog3pio)](https://crates.io/crates/cog3pio)

[![Latest version on PyPI](https://img.shields.io/pypi/v/cog3pio)](https://pypi.org/project/cog3pio)

[![Latest version on conda-forge](https://img.shields.io/conda/v/conda-forge/cog3pio)](https://anaconda.org/conda-forge/cog3pio)

[![Digital Object Identifier for the Zenodo archive](https://zenodo.org/badge/DOI/10.5281/15702154.svg)](https://doi.org/10.5281/zenodo.15702154)

Cloud-optimized GeoTIFF ... Parallel I/O

Yet another attempt at creating a GeoTIFF reader, in Rust, with Python bindings.

## Roadmap

2024 Q1:

- [x] Multi-band reader to [`ndarray`](https://github.com/rust-ndarray/ndarray) (relying

      on [`image-tiff`](https://crates.io/crates/tiff))

- [x] Read from HTTP remote storage (using

      [`object-store`](https://crates.io/crates/object_store))

2024 Q2-Q4:

- [x] ~Integration with `xarray` as a

      [`BackendEntrypoint`](https://docs.xarray.dev/en/v2024.02.0/internals/how-to-add-new-backend.html)~ (removed)

- [x] Implement single-band GeoTIFF reader for multiple dtypes (uint/int/float) (based

      on [`geotiff`](https://crates.io/crates/geotiff) crate)

2025 Q1-Q2:

- [x] Support for [`DLPack`](https://dmlc.github.io/dlpack/latest/index.html) protocol

      (through [`dlpark`](https://crates.io/crates/dlpark))

- [x] Initial release on crates.io and PyPI

2025 Q3-Q4:

- [x] GPU-based decoding (via [`nvTIFF`](https://crates.io/crates/nvtiff-sys))

2026:

- [ ] Direct-to-GPU loading

- [ ] Write support

2027:

- [ ] SIMD decoding

## Related crates

- https://github.com/developmentseed/async-tiff

- https://github.com/feefladder/tiff2

- https://github.com/georust/geotiff

- https://github.com/jblindsay/whitebox-tools

- https://github.com/pka/georaster