GridScale alternatives and similar packages
Based on the "Big Data" category.
Alternatively, view GridScale alternatives based on common mentions on social networks and blogs.
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Apache Spark
Apache Spark - A unified analytics engine for large-scale data processing -
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Deeplearning4J
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. -
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Reactive-kafka
Alpakka Kafka connector - Alpakka is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Akka. -
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Sparkta
Real Time Analytics and Data Pipelines based on Spark Streaming -
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metorikku
A simplified, lightweight ETL Framework based on Apache Spark -
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Schemer
Schema registry for CSV, TSV, JSON, AVRO and Parquet schema. Supports schema inference and GraphQL API. -
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Spark Utils
Basic framework utilities to quickly start writing production ready Apache Spark applications -
Sparkplug
Spark package to "plug" holes in data using SQL based rules ⚡️ 🔌 -
Spark Tools
Executable Apache Spark Tools: Format Converter & SQL Processor
Build time-series-based applications quickly and at scale.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
GridScale
GridScale is a scala library for accessing various file and batch systems. For the time being it supports:
- Remote SSH servers,
- PBS clusters,
- SLURM clusters,
- SGE clusters,
- OAR clusters,
- Condor flocks
- HTTP file lists,
- IPFS nodes,
- EGI computing grid via DIRAC pilot jobs system.
Licence
GridScale is licensed under the [GNU Affero GPLv3](LICENSE.md) software license.
Build
GridScale builds with sbt.
Use the compile and/or package task to build all the modules.
Imports
In order to use gridscale you should import the namespace corresponding to the job system you want to use:
import gridscale.pbs._
SBT
GridScale is cross compiled against serveral versions of scala. To use on of its modules add a dependency like:
libraryDependencies += "fr.iscpif.gridscale" %% "pbs" % version
Examples
Up to date examples are available in the [example directory](examples/).
Development
GridScale can be generated locally using:
sbt publish-local
To release in one step, use:
sbt 'release with-defaults'
*Note that all licence references and agreements mentioned in the GridScale README section above
are relevant to that project's source code only.