Opentopodata Alternatives

Similar projects and alternatives to opentopodata

geemap

17 3,196 9.2 Python opentopodata VS geemap

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
osmnx

14 4,663 9.6 Python opentopodata VS osmnx

OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
InfluxDB

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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.
whitebox-python

2 360 4.8 Python opentopodata VS whitebox-python

WhiteboxTools Python Frontend
elevation_lookups

2 3 0.0 Python opentopodata VS elevation_lookups

Takes an input file of paths described as series of points, outputs a file of data about the elevation changes along those paths.
felicette

1 1,774 0.7 Python opentopodata VS felicette

Discontinued Satellite imagery for dummies.
BlenderGIS

60 7,230 4.3 Python opentopodata VS BlenderGIS

Blender addons to make the bridge between Blender and geographic data
whitebox

1 218 6.7 Python opentopodata VS whitebox

Discontinued WhiteboxTools Python Frontend [Moved to: https://github.com/giswqs/whitebox-python]
WorkOS

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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.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better opentopodata alternative or higher similarity.

Suggest an alternative to opentopodata

opentopodata reviews and mentions

Posts with mentions or reviews of opentopodata. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-20.

I built an alternative to the Google Elevation API using open data
1 project | /r/gis | 29 Sep 2021

You can self-host an API serving open data (I also develop https://github.com/ajnisbet/opentopodata/ which helps you do this) but elevation data comes in different formats and quality levels which are non-trivial to merge without artefacts, and the datasets are too large for a typical cloud workflow.
Show HN: An alternative to the Google Elevation API using open data
1 project | news.ycombinator.com | 28 Sep 2021

Hi HN!
GPXZ ([https://www.gpxz.io/](https://www.gpxz.io/)) is an API for elevation point queries. These APIs are used for things like flight planning, flood analysis, elevation profile visualisation, and weather forecast localisation.
Google Maps is the name brand elevation API but it's expensive, you are restricted in how you use the data, they decrease accuracy for batch queries, and their dataset is being left behind by all the amazing open data sources released in the last few years.
You can self-host an API serving open data (I also develop [https://github.com/ajnisbet/opentopodata/](https://github.co... which helps you do this) but elevation data comes in different formats and quality levels which are non-trivial to merge without artefacts, and the datasets are too large for a typical cloud workflow.
So I built the 12 TB GPXZ dataset, which carefully merges open lidar and satellite sources covering the whole globe. The idea is that with a single dataset you can get the best-possible data in your area of interest.
The [gpxz.io](http://gpxz.io) API runs on a boring stack: nginx, uwsgi and python on dedicated servers. Everything is in a django monolith, except the API which I recently liberated from the monolith into a standalone flask service. I have a few freelance customers who are paying me for data processing and managed opentopodata hosting that have been extremely helpful in validating this idea.
I know this is a niche service compared to most Show HNs, happy to answer any questions about elevation data or geospatial APIs!
Ask HN: Do you use an elevation API?
2 projects | news.ycombinator.com | 20 Sep 2021

Cool, I learned about abstreet the other day from HN! Thanks for the feedback.
These days I run everything geospatial in docker containers, the dependencies in geo are tricky.
Interesting about the memory/caching issues. I was going to suggest rasterio which I use for batch queries in https://github.com/ajnisbet/opentopodata and comes bundled with its own gdal binary, but looks like you're already using that.
I've also used zarr+tifffile for geotiffs in particular, it's faster and avoids a lot of gdal's warts, but you still need something like rasterio to read the geospatial metadata and handle projections.
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