6 रिपॉजिटरी
Awesome GitHub RepositoriesDomain Specific Processing
Specialized tools for processing genomics, spatial, and graph data.
Explore 6 awesome GitHub repositories matching part of an awesome list · Domain Specific Processing. Refine with filters or upvote what's useful.
Awesome Domain Specific Processing GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- apache/incubator-sedona
apache/incubator-sedona
2,339GitHub पर देखें| Status | Stable | Latest | Source code|Spark compatibility| |:----------:|:-------------:|:------|:------:|:------| | GeoSpark | | | |Spark 2.X, 1.X| | GeoSparkSQL | | | | Spark SQL 2.1, 2.2| | GeoSparkViz | | | |Spark 2.X, 1.X|
Cluster computing for large-scale spatial data.
Java - graphframes/graphframes
graphframes/graphframes
1,137GitHub पर देखेंData frame based graph API.
Scalaapache-sparkbig-dataconnected-components - hail-is/hail
hail-is/hail
1,064GitHub पर देखेंCloud-native genomic dataframes and batch computing
Genetic analysis framework.
Python - bigdatagenomics/adam
bigdatagenomics/adam
1,053GitHub पर देखेंADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Tools for analyzing genomics data.
Scala - neo4j-contrib/neo4j-spark-connector
neo4j-contrib/neo4j-spark-connector
This repository contains the Neo4j Connector for Apache Spark.
Neo4j connector with graph support.
Scala - archivesunleashed/aut
archivesunleashed/aut
The Archives Unleashed Toolkit is an open-source platform for analyzing web archives using Apache Spark, and makes use of Sparkling for parsing W/ARC records. The toolkit provides powerful tools for analytics and data processing. It is part of the Archives Unleashed Project.
Toolkit for analyzing web archives.
Scala
