The underlying purpose of RasterFrames is to allow data scientists and software developers to process and analyze geospatial-temporal raster data with the same flexibility and ease as any other Spark Catalyst data type.
raster-frames alternatives and similar packages
Based on the "Big Data" category.
Alternatively, view raster-frames alternatives based on common mentions on social networks and blogs.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.
Do you think we are missing an alternative of raster-frames or a related project?
RasterFrames is now an incubating project at Eclipse Foundation's LocationTech!
- New GitHub repository: https://github.com/locationtech/rasterframes
- LocationTech Project Page: https://projects.eclipse.org/projects/locationtech.rasterframes
Unchanged community resources:
Come join the project that's working to make global-scale geospatial processing possible in data frames!
Copyright and License
RasterFrames is released under the Apache 2.0 License, copyright Astraea, Inc. 2017-2018.
*Note that all licence references and agreements mentioned in the raster-frames README section above are relevant to that project's source code only.