| Name | stacrs JSON |
| Version |
0.3.0
JSON |
| download |
| home_page | None |
| Summary | A no-dependency Python package for STAC, using Rust under the hood. |
| upload_time | 2024-11-22 12:20:40 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
stac
geospatial
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# stacrs
[](https://github.com/gadomski/stacrs/actions/workflows/ci.yaml)
[](https://pypi.org/project/stacrs)
[](./CODE_OF_CONDUCT)
A small no-dependency Python package for [STAC](https://stacspec.org/), using Rust under the hood.
## Usage
Install via **pip**:
```shell
python -m pip install stacrs
```
Then:
```python
import stacrs
# Search a STAC API
items = stacrs.search(
"https://landsatlook.usgs.gov/stac-server",
collections="landsat-c2l2-sr",
intersects={"type": "Point", "coordinates": [-105.119, 40.173]},
sortby="-properties.datetime",
max_items=100,
)
# Write items to a stac-geoparquet file
stacrs.write("items.parquet", items)
# Read items from a stac-geoparquet file as an item collection
item_collection = stacrs.read("items.parquet")
# Use `search_to` for better performance if you know you'll be writing the items
# to a file
stacrs.search_to(
"items.parquet",
"https://landsatlook.usgs.gov/stac-server",
collections="landsat-c2l2-sr",
intersects={"type": "Point", "coordinates": [-105.119, 40.173]},
sortby="-properties.datetime",
max_items=100,
)
```
See [the documentation](https://gadom.ski/stacrs) for details.
In particular, our [example notebook](https://gadom.ski/stacrs/latest/example/) demonstrates some of the more interesting features.
## Comparisons
This package (intentionally) has limited functionality, as it is _not_ intended to be a replacement for existing Python STAC packages.
[pystac](https://pystac.readthedocs.io) is a mature Python library with a significantly richer API for working with STAC objects.
For querying STAC APIs, [pystac-client](https://pystac-client.readthedocs.io) is more feature-rich than our simplistic `stacrs.search`.
That being said, it is hoped that **stacrs** will be a nice complement to the existing Python STAC ecosystem by providing a no-dependency package with unique capabilities, such as searching directly into a stac-geoparquet file.
## Development
Get [Rust](https://rustup.rs/) and [uv](https://docs.astral.sh/uv/getting-started/installation/).
Then:
```shell
git clone git@github.com:gadomski/stacrs.git
cd stacrs
uv sync # This will take a little while while the Rust dependencies build
uv run pytest
```
See [CONTRIBUTING.md](./CONTRIBUTING.md) for more information about contributing to this project.
## License
**stacrs** is dual-licensed under both the MIT license and the Apache license (Version 2.0).
See [LICENSE-APACHE](./LICENSE-APACHE) and [LICENSE-MIT](./LICENSE-MIT) for details.
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