421 Open source projects that are alternatives of or similar to spark3D

Real-world Spark pipelines examples

Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame transformations

Structural Bioinformatics Training Workshop & Hackathon 2018

The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.

Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

Asynchronous actions for PySpark

A curated list of awesome Apache Spark packages and resources.

pyspark methods to enhance developer productivity 📣 👯 🎉

Simple and Distributed Machine Learning

Sentiment Analysis of a Twitter Topic with Spark Structured Streaming

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.

Simple and Distributed Machine Learning

Fundamentals of Spark with Python (using PySpark), code examples

A boilerplate for writing PySpark Jobs

Apache Spark for data engineers

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

Apache (Py)Spark type annotations (stub files).

Apache Spark Connector for Azure Cosmos DB

PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster

JupyterLab extension that enables monitoring launched Apache Spark jobs from within a notebook

Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks

Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.

Apache Spark on AWS Lambda

RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

Project for James' Apache Spark with Scala course

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

Seamless is a framework to set up reproducible computations (and visualizations) that respond to changes in cells. Cells contain the input data as well as the source code of the computations, and all cells can be edited interactively.

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Splash, a flexible Spark shuffle manager that supports user-defined storage backends for shuffle data storage and exchange

Use the TPC-DS benchmark to test Spark SQL performance

A connector for Apache Spark and PySpark to Dgraph databases.

Griffon Data Science Virtual Machine

Notes on Apache Spark (pyspark)

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

A pure Nim k-d tree implementation for efficient spatial querying of point data

Train and run Pytorch models on Apache Spark.

Apache Spark docker image

A framework for writing Spark 2.x applications in a pretty way

Rapid and flexible acquisition, analysis, fitting, and plotting in Python. Designed for scientific laboratories.

A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL

Custom state store providers for Apache Spark

Open source platform for the machine learning lifecycle

A curated list of Pulsar tools, integrations and resources.

When Apache Pulsar meets Apache Spark

A connector for Apache Spark to access Exasol

Código para workshops Spark com ambiente de desenvolvimento em docker

Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.

Profile and monitor your ML data pipeline end-to-end

PySpark + Scikit-learn = Sparkit-learn

A Spark Atlas connector to track data lineage in Apache Atlas

Natural Korean Processor for Apache Spark

(Deprecated) Scikit-learn integration package for Apache Spark

The Internals of Spark SQL

📚 Various cheatsheets in PDF

The Internals of Apache Spark

This application comes as Spark2.1-as-Service-Provider using an embedded, Reactive-Streams-based, fully asynchronous HTTP server

Example Maven configuration for a Spark, Scala project

SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.

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