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Top 23 Geospatial Open-Source Projects
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Scout Monitoring
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RediSearch
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
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Graphhopper
Open source routing engine for OpenStreetMap. Use it as Java library or standalone web server.
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osmnx
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
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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.
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buntdb
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
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awesome-gis
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
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geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
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leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
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segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
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proj4js
JavaScript library to transform coordinates from one coordinate system to another, including datum transformations
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Noob here: Please tell me how can I integrate this type of map in my site? any js library? | /r/developersIndia | 2023-07-02This might help: https://kepler.gl/
[2] https://github.com/tidwall/tile38
I'm running Linux. I've already tried to run sudo apt -y install python3-numpy as suggested here and tried to install numpy using blender's python console and import pip pip.main.... it's saying everything is installed, but I still cannot enable addon either run import numpy in console. Please ask me if you need more technical details.
Project mention: I played with a python module called OSMnx to create the roadmaps of some cities. These include major highways,motorways,roads and streets that carry most of the traffic. | /r/india | 2023-07-13
Project mention: H3: Hexagonal hierarchical geospatial indexing system | news.ycombinator.com | 2024-03-11
Experimental format to help readability of a long rant:
1.
According to the OP, there's a "terrifying tale of VACUUM in PostgreSQL," dating back to "a historical artifact that traces its roots back to the Berkeley Postgres project." (1986?)
2.
Maybe the whole idea of "use X, it has been battle-tested for [TIME], is robust, all the bugs have been and keep being fixed," etc., should not really be that attractive or realistic for at least a large subset of projects.
3.
In the case of Postgres, on top of piles of "historic code" and cruft, there's the fact that each user of Postgres installs and runs a huge software artifact with hundreds or even thousands of features and dependencies, of which every particular user may only use a tiny subset.
4.
In Kleppmann's DDOA [1], after explaining why the declarative SQL language is "better," he writes: "in databases, declarative query languages like SQL turned out to be much better than imperative query APIs." I find this footnote to the paragraph a bit ironic: "IMS and CODASYL both used imperative query APIs. Applications typically used COBOL code to iterate over records in the database, one record at a time." So, SQL was better than CODASYL and COBOL in a number of ways... big surprise?
Postgres' own PL/pgSQL [2] is a language that (I imagine) most people would rather NOT use: hence a bunch of alternatives, including PL/v8, on its own a huge mass of additional complexity. SQL is definitely "COBOLESQUE" itself.
5.
Could we come up with something more minimal than SQL and looking less like COBOL? (Hopefully also getting rid of ORMs in the process). Also, I have found inspiring to see some people creating databases for themselves. Perhaps not a bad idea for small applications? For instance, I found BuntDB [3], which the developer seems to be using to run his own business [4]. Also, HYTRADBOI? :-) [5].
6.
A usual objection to use anything other than a stablished relational DB is "creating a database is too difficult for the average programmer." How about debugging PostgreSQL issues, developing new storage engines for it, or even building expertise on how to set up the instances properly and keep it alive and performant? Is that easier?
I personally feel more capable of implementing a small, well-tested, problem-specific, small implementation of a B-Tree than learning how to develop Postgres extensions, become an expert in its configuration and internals, or debug its many issues.
Another common opinion is "SQL is easy to use for non-programmers." But every person that knows SQL had to learn it somehow. I'm 100% confident that anyone able to learn SQL should be able to learn a simple, domain-specific, programming language designed for querying DBs. And how many of these people that are not able to program imperatively would be able to read a SQL EXPLAIN output and fix deficient queries? If they can, that supports even more the idea that they should be able to learn something different than SQL.
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1: https://dataintensive.net/
2: https://www.postgresql.org/docs/7.3/plpgsql-examples.html
3: https://github.com/tidwall/buntdb
4: https://tile38.com/
5: https://www.hytradboi.com/
Project mention: Data diffs: Algorithms for explaining what changed in a dataset (2022) | news.ycombinator.com | 2023-07-26> Make diff work on more than just SQLite.
Another way of doing this that I've been wanting to do for a while is to implement the DIFF operator in Apache Calcite[0]. Using Calcite, DIFF could be implemented as rewrite rules to generate the appropriate SQL to be directly executed against the database or the DIFF operator can be implemented outside of the database (which the original paper shows is more efficient).
[0] https://calcite.apache.org/
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).
Geospatial related posts
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Create GPS Test Data In Go
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H3: Hexagonal hierarchical geospatial indexing system
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Geospatial Nix – create, use and deploy today
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Waterway Map
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10th Anniversary of the OpenOrienteering Project and Mapper App (2022)
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What hydrology tool would you use to model streamflow and pollutants of waterways in a watershed?
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A note from our sponsor - InfluxDB
www.influxdata.com | 6 Jun 2024
Index
What are some of the best open-source Geospatial projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | Cesium | 12,184 |
| 2 | kepler.gl | 10,064 |
| 3 | Tile38 | 8,930 |
| 4 | BlenderGIS | 7,349 |
| 5 | RediSearch | 5,271 |
| 6 | Graphhopper | 4,735 |
| 7 | osmnx | 4,706 |
| 8 | h3 | 4,644 |
| 9 | buntdb | 4,419 |
| 10 | Apache Calcite | 4,400 |
| 11 | geopandas | 4,257 |
| 12 | awesome-gis | 4,222 |
| 13 | Awesome-Geospatial | 3,891 |
| 14 | PHP-CRUD-API | 3,545 |
| 15 | L7 | 3,516 |
| 16 | geemap | 3,257 |
| 17 | leafmap | 2,949 |
| 18 | cartodb | 2,730 |
| 19 | segment-geospatial | 2,693 |
| 20 | torchgeo | 2,277 |
| 21 | 3d-tiles | 2,025 |
| 22 | maputnik | 1,998 |
| 23 | proj4js | 1,963 |
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