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There's no freely-licensed, standalone WKB crate in the georust ecosystem. https://crates.io/crates/wkb exists but is AGPL3. geozero has a WKB parser and encoder, but it presents access as a stream, instead of by random access, which can be harder for downstream packages to use.
Reading and write without copying to an intermediate representation, thanks to geo_traits.
Full support for Z, M, and ZM dimension data.
Full support for little-endian and big-endian data, in both reading and writing.
MIT and Apache 2 license.
In terms of benchmarks, a simple benchmark showed that it's 2.8x faster than Shapely for reading and 11x faster than Shapely for writing (ref georust/wkb#37 and georust/wkb#38). This isn't a full apples to apples comparison because Shapely is a wrapper of GEOS to Python, but I think for WKB reading and writing the amount of Python overhead should be quite small. So I think it's safe to say this is at least as fast as GEOS, if not faster.
The text was updated successfully, but these errors were encountered:
There's no freely-licensed, standalone WKB crate in the georust ecosystem. https://crates.io/crates/wkb exists but is AGPL3. geozero has a WKB parser and encoder, but it presents access as a stream, instead of by random access, which can be harder for downstream packages to use.
I propose that we move https://github.com/kylebarron/wkb into the georust org. It has:
geo_traits
.In terms of benchmarks, a simple benchmark showed that it's 2.8x faster than Shapely for reading and 11x faster than Shapely for writing (ref georust/wkb#37 and georust/wkb#38). This isn't a full apples to apples comparison because Shapely is a wrapper of GEOS to Python, but I think for WKB reading and writing the amount of Python overhead should be quite small. So I think it's safe to say this is at least as fast as GEOS, if not faster.
The text was updated successfully, but these errors were encountered: