locationtech / rasterframes
Geospatial Raster support for Spark DataFrames
Why this job: works in the areas we cover, but does not say which job it does
What it does
RasterFrames® brings together Earth-observation (EO) data access, cloud computing, and DataFrame-based data science. The recent explosion of EO data from public and private satellite operators presents both a huge opportunity as well as a challenge to the data analysis community. It is _Big Data_ in the truest sense, and its footprint is rapidly getting bigger.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 256
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.11.1
- Released 3 years ago
- Built with
- Jupyter Notebook
- 89% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 62% closed
- 130 still open
- Pull requests
- 234 merged
- 13 waiting
- Releases
- 22
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Jupyter Notebook 89%
- Scala 9%
- Python 1%
- Makefile <1%
Topics
- spark
- sparksql
- scala
- geotrellis
- earth-observation
- image-processing
- machine-learning
- spark-ml
Project record
- JobOther AI tools
- StatusListed
- Commits1,595
- Forks47
- Watching11
- Stars in 28 days0
- CreatedMar 16, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026