py-qgis-wps
geopandas
| py-qgis-wps | geopandas | |
|---|---|---|
| 2 | 10 | |
| 40 | 4,188 | |
| - | 1.6% | |
| 6.5 | 9.2 | |
| about 1 month ago | 6 days ago | |
| Python | Python | |
| Mozilla Public License 2.0 | BSD 3-clause "New" or "Revised" 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.
py-qgis-wps
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Using QGIS Processing Toolbox in an Independent Application?
You can use QGIS in web applications via the web processing service API https://github.com/3liz/py-qgis-wps
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execute Qgis in a web programming context
You are looking for QGIS SERVER and WPS and custom actions https://github.com/3liz/py-qgis-wps
geopandas
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Geopandas spatial predicate performance increase?
Interesting! Full honesty I don’t know, lol. But if I were to guess… something to do with implementation of pygeos and indexing. Recent geopandas versions I believe handle joins with shapely vs. pygeos differently. Maybe if there is a declared predicate, it treats the spatial index differently. https://github.com/geopandas/geopandas/pull/1421
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Pandas or Polars to work with dataframes?
From the little I've seen, Polars looks good, but I'm sticking with Pandas for now... I do a lot of work with GeoPandas. When they release a usable version of GeoPolars, I'll take a look.
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GeoPandas: Crimea Assigned to Ukraine in naturalearth_lowres
Details on the root of the issue.[0]
[0] https://github.com/geopandas/geopandas/issues/2382
- Geopandas sucks for converting files
- geopandas v0.12.0 released, with Shapely 2.0 support
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Shapely just release version 1.8.5, which includes Python 3.11 support!
This means that almost all dependencies of GeoPandas now support Python 3.11, only Fiona is left (but being worked on). See this tracking issue: https://github.com/geopandas/geopandas/issues/2592
- Recreating QGIS SAGA polygon self-intersection in python?
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Using QGIS Processing Toolbox in an Independent Application?
Best python package alternative in my opinion: geopandas
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Spatial Joins and Big O
Geopandas uses pygeos to implement fast spatial joins (source code is here for the sjoin function: https://github.com/geopandas/geopandas/blob/main/geopandas/tools/sjoin.py). More from GeoPandas documentation: “GeoPandas offers built-in support for spatial indexing using an R-Tree algorithm. Depending on the ability to import pygeos, GeoPandas will either use pygeos.STRtree or rtree.index.Index. The main interface for both is the same and follows the pygeos model.”
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Shapely - Manipulation and analysis of geometric objects
learn oops in python - 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Cartopy - Cartopy - a cartographic python library with matplotlib support
OneShot - Run WPS PIN attacks (Pixie Dust, online bruteforce, PIN prediction) without monitor mode with the wpa_supplicant
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
celery - Distributed Task Queue (development branch)
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Roam - Simple data collection built using QGIS.
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
mini-map-maker - A tool for automatically generating 3D printable STLs from freely available lidar scan data.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.