Python geospatial-analysis

Open-source Python projects categorized as geospatial-analysis
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Top 6 Python geospatial-analysis Projects

geospatial-analysis

  1. leafmap

    A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

  2. Judoscale

    Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

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  3. lonboard

    A Python library for fast, interactive geospatial vector data visualization in Jupyter.

    Project mention: Show HN: Vortex – a high-performance columnar file format in Rust | news.ycombinator.com | 2024-10-14

  4. udfs

    Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API. (by fusedio)

    Project mention: A New Look: Solar Plant Prospection with Automated Viewshed Analysis | news.ycombinator.com | 2024-06-18

    yes i made one using a open python lib - https://github.com/fusedio/udfs/tree/main/community/fhk/pybd...

  5. geovoronoi

    a package to create and plot Voronoi regions within geographic boundaries

  6. FastGeospatial

    FastGeospatial is a PostGIS geospatial api to enable geospatial analysis on geographical data within a spatial database.

  7. wildfire-burn-severity

    Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source geospatial-analysis projects in Python? This list will help you:

# Project Stars
1 leafmap 3,327
2 lonboard 734
3 udfs 230
4 geovoronoi 135
5 FastGeospatial 44
6 wildfire-burn-severity 13

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