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Parallel I/O\n\nYet another attempt at creating a GeoTIFF reader, in Rust, with Python bindings.\n\n\n## Roadmap\n\n2024 Q1:\n- [x] Multi-band reader to [`ndarray`](https://github.com/rust-ndarray/ndarray) (relying\n      on [`image-tiff`](https://crates.io/crates/tiff))\n- [x] Read from HTTP remote storage (using\n      [`object-store`](https://crates.io/crates/object_store))\n\n2024 Q2-Q4:\n- [x] ~Integration with `xarray` as a\n      [`BackendEntrypoint`](https://docs.xarray.dev/en/v2024.02.0/internals/how-to-add-new-backend.html)~ (removed)\n- [x] Implement single-band GeoTIFF reader for multiple dtypes (uint/int/float) (based\n      on [`geotiff`](https://crates.io/crates/geotiff) crate)\n\n2025 Q1-Q2:\n- [x] Support for [`DLPack`](https://dmlc.github.io/dlpack/latest/index.html) protocol\n      (through [`dlpark`](https://crates.io/crates/dlpark))\n- [x] Initial release on crates.io and PyPI\n\n2025 Q3-Q4:\n- [x] GPU-based decoding (via [`nvTIFF`](https://crates.io/crates/nvtiff-sys))\n\n2026:\n- [ ] Direct-to-GPU loading\n- [ ] Write support\n\n2027:\n- [ ] SIMD decoding\n\n## Related crates\n\n- https://github.com/developmentseed/async-tiff\n- https://github.com/feefladder/tiff2\n- https://github.com/georust/geotiff\n- https://github.com/jblindsay/whitebox-tools\n- https://github.com/pka/georaster\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweiji14%2Fcog3pio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fweiji14%2Fcog3pio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fweiji14%2Fcog3pio/lists"}