aws / sagemaker-spark
A Spark library for Amazon SageMaker.
Why this job: works in the areas we cover, but does not say which job it does
What it does
SageMaker Spark is an open source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 303
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.4.5
- Released 4 years ago
- Built with
- Scala
- 59% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 51% closed
- 32 still open
- Pull requests
- 81 merged
- 3 waiting
- Releases
- 34
- 0 in the last year
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More: languages, topics and project record
Languages
- Scala 59%
- Python 41%
- Java <1%
- Shell <1%
Topics
- aws
- machine-learning
- spark
- amazon-sagemaker
- scala
- python
- sagemaker
Project record
- JobOther AI tools
- StatusListed
- Commits131
- Forks127
- Watching44
- Stars in 28 days+2
- CreatedNov 16, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026