geoparquet
zarr-python
| geoparquet | zarr-python | |
|---|---|---|
| 3 | 2 | |
| 723 | 1,340 | |
| 4.1% | 1.8% | |
| 5.5 | 9.1 | |
| 5 days ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
geoparquet
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Friends don't let friends export to CSV
That's why I'm working on the GeoParquet spec [0]! It gives you both compression-by-default and super fast reads and writes! So it's usually as small as gzipped CSV, if not smaller, while being faster to read and write than GeoPackage.
Try using `GeoDataFrame.to_parquet` and `GeoPandas.read_parquet`
[0]: https://github.com/opengeospatial/geoparquet
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
GeoParquet
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Postgres and Parquet in the Data Lke
> "Generating Parquet"
It is also useful for moving data from Postgres to BigQuery! ( batch load )
https://cloud.google.com/bigquery/docs/loading-data-cloud-st...
Thanks for the "ogr2ogr" trick! :-)
I hope the next blog post will be about GeoParquet and storing complex geometries in parquet format :-)
https://github.com/opengeospatial/geoparquet
zarr-python
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
Zarr
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Not so underrated but not so commonplace either: Zarr
What are some alternatives?
mbtiles-spec - specification documents for the MBTiles tileset format
Flask - The Python micro framework for building web applications.
odbc2parquet - A command line tool to query an ODBC data source and write the result into a parquet file.
better-exceptions - Pretty and useful exceptions in Python, automatically.
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
ome-zarr-py - Implementation of next-generation file format (NGFF) specifications for storing bioimaging data in the cloud.
flatgeobuf - A performant binary encoding for geographic data based on flatbuffers
com-tiles - Streamable and read optimized file archive for hosting map tiles at global scale on a cloud object storage
postgres_vectorization_test - Vectorized executor to speed up PostgreSQL
Sentry - Developer-first error tracking and performance monitoring
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.