Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →
Top 13 geospatial-analysis Open-Source Projects
-
leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
python-geospatial
A collection of Python packages for geospatial analysis with binder-ready notebook examples
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
FastGeospatial
FastGeospatial is a PostGIS geospatial api to enable geospatial analysis on geographical data within a spatial database.
-
app
Prototype toolkit for sustainable urban design at the speed of thought. (by SustainableUrbanDesign)
-
project-atlas-sao-paulo
A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.
-
wildfire-burn-severity
Geospatials project meant to help generate burn severity maps & assess surface area affected by wildfires.
https://grass.osgeo.org/
GRASS GIS offers powerful raster, vector, and geospatial processing engines in a single integrated software suite. It includes tools for terrain and ecosystem modeling, hydrology, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It comes with a temporal framework for advanced time series processing and a Python API for rapid geospatial programming. GRASS GIS has been optimized for performance and large geospatial data analysis.
Project mention: Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data | news.ycombinator.com | 2024-04-22I'll let Kyle chime in but I tested it a few months ago with millions of polygons on an M2 16GB of RAM laptop and it worked very well.
There is a library by the same author called lonboard that provides the JS bits inside JupyterLab. https://github.com/developmentseed/lonboard
I think it is based on the Kepler.gl / Deck.gl data loaders that go straight to GPU from network.
geospatial-analysis related posts
- Discussion Thread
- It’s incredible that Google Maps is free
- geospatialdatascience: NEW Courses - star count:297.0
- geospatialdatascience: NEW Courses - star count:297.0
- geospatialdatascience: NEW Courses - star count:297.0
- geospatialdatascience: NEW Courses - star count:297.0
- geospatialdatascience: NEW Courses - star count:297.0
-
A note from our sponsor - InfluxDB
www.influxdata.com | 26 Apr 2024
Index
What are some of the best open-source geospatial-analysis projects? This list will help you:
Project | Stars | |
---|---|---|
1 | Awesome-Geospatial | 3,833 |
2 | leafmap | 2,896 |
3 | grass | 766 |
4 | python-geospatial | 647 |
5 | geospatialdatascience | 449 |
6 | lonboard | 385 |
7 | awesome-frontend-gis | 315 |
8 | geovoronoi | 128 |
9 | geos-wasm | 73 |
10 | FastGeospatial | 28 |
11 | app | 23 |
12 | project-atlas-sao-paulo | 9 |
13 | wildfire-burn-severity | 8 |
Sponsored