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graphframes avatar

graphframes/graphframes

0
View on GitHub↗
1,137 stars·262 forks·Scala·apache-2.0·19 viewsgraphframes.io↗

Graphframes

Features

  • Domain Specific Processing - Data frame based graph API.

Star history

Star history chart for graphframes/graphframesStar history chart for graphframes/graphframes

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Graphframes

These projects share indexed features with Graphframes. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • apache/incubator-sedonaapache avatar

    apache/incubator-sedona

    2,339View on GitHub↗

    | 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|

    Java
    View on GitHub↗2,339
  • archivesunleashed/autarchivesunleashed avatar

    archivesunleashed/aut

    158View on GitHub↗

    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.

    Scala
    View on GitHub↗158
  • bigdatagenomics/adambigdatagenomics avatar

    bigdatagenomics/adam

    1,053View on GitHub↗

    ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

    Scala
    View on GitHub↗1,053
  • hail-is/hailhail-is avatar

    hail-is/hail

    1,064View on GitHub↗

    Cloud-native genomic dataframes and batch computing

    Python
    View on GitHub↗1,064
Compare all 5 related projects→

Frequently asked questions

What are the main features of graphframes/graphframes?

The main features of graphframes/graphframes are: Domain Specific Processing.

Which projects share features with graphframes/graphframes?

Projects with overlapping indexed features include: apache/incubator-sedona — | Status | Stable | Latest | Source code|Spark compatibility| |:----------:|:-------------:|:------|:------:|:------|… archivesunleashed/aut — The Archives Unleashed Toolkit is an open-source platform for analyzing web archives using Apache Spark, and makes use… bigdatagenomics/adam — ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache… hail-is/hail — Cloud-native genomic dataframes and batch computing. neo4j-contrib/neo4j-spark-connector — This repository contains the Neo4j Connector for Apache Spark.