Track Awesome Spark Updates Daily

A curated list of awesome Apache Spark packages and resources.

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[ Daily / Weekly / Overview ]

Dec 30, 2021

Packages / GIS

• Apache Sedona (⭐1.2k) - Cluster computing system for processing large-scale spatial data.

Dec 20, 2021

Packages / Machine Learning Extension

• MLflow - Machine learning orchestration platform.

Dec 12, 2021

Resources / Docker Images

• datamechanics/spark - An easy to setup Docker image for Apache Spark from Data Mechanics.

Dec 06, 2021

Packages / General Purpose Libraries

• Joblib Apache Spark Backend (⭐211) - joblib backend for running tasks on Spark clusters.

Packages / Storage

• lakeFS - Integration with the lakeFS atomic versioned storage layer.

Nov 29, 2021

Packages / Notebooks and IDEs

• Polynote - Polynote: an IDE-inspired polyglot notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model. Originating from Netflix.

Packages / SQL Data Sources

• Spark CSV (⭐1k) - CSV reader and writer (obsolete since Spark 2.0 [SPARK-12833]).

Packages / Machine Learning Extension

• Clustering4Ever (⭐124) Scala and Spark API to benchmark and analyse clustering algorithms on any vectorization you can generate.

• Microsoft ML for Apache Spark (⭐3.8k) - A distributed ml library with support for LightGBM, Vowpal Wabbit, OpenCV, Deep Learning, Cognitive Services, and Model Deployment.

Packages / Natural Language Processing

• spark-nlp (⭐3k) - Natural language processing library built on top of Apache Spark ML.

Resources / Papers

• Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark - Structured Streaming is a new high-level streaming API, it is a declarative API based on automatically incrementalizing a static relational query.

Nov 02, 2021

Packages / Middleware

• Apache Kyuubi (⭐1.3k) - A distributed multi-tenant JDBC server for large-scale data processing and analytics, built on top of Apache Spark.

Aug 18, 2021

Packages / General Purpose Libraries

• Apache DataFu (⭐97) - A library of general purpose functions and UDF's.

Aug 15, 2021

Packages / General Purpose Libraries

• spark-daria (⭐698) - A Scala library with essential Spark functions and extensions to make you more productive.

• quinn (⭐364) - A native PySpark implementation of spark-daria.

Resources / Books

• Learning Spark, 2nd Edition - Introduction to Spark API with Spark 3.0 covered. Good source of knowledge about basic concepts.

Mar 17, 2021

Packages / Monitoring

• Data Mechanics Delight (⭐273) - Cross-platform monitoring tool (Spark UI / Spark History Server replacement).

Feb 19, 2021

Packages / General Purpose Libraries

• itachi (⭐36) - A library that brings useful functions from modern database management systems to Apache Spark.

Nov 02, 2020

Packages / Storage

• Delta Lake (⭐5.3k) - Storage layer with ACID transactions.

Oct 09, 2020

Packages / Interfaces

• Koalas (⭐3.2k) - Pandas DataFrame API on top of Apache Spark.

Oct 03, 2020

Packages / Utilities

• pyspark-stubs (⭐114) - Static type annotations for PySpark (obsolete since Spark 3.1. See SPARK-32681).

Oct 01, 2020

Packages / Language Bindings

• Mobius (⭐931) - C# bindings (Deprecated in favor of .NET for Apache Spark).

• .NET for Apache Spark (⭐1.8k) - .NET bindings.

Sep 23, 2020

Packages / Utilities

• Optimus (⭐1.3k) - Data Cleansing and Exploration utilities with the goal of simplifying data cleaning.

Sep 22, 2020

Resources / Papers

• Large-Scale Intelligent Microservices - Microsoft paper that presents an Apache Spark-based micro-service orchestration framework that extends database operations to include web service primitives.

Jul 16, 2020

Packages / Middleware

• Livy (⭐715) - REST server with extensive language support (Python, R, Scala), ability to maintain interactive sessions and object sharing.

Dec 13, 2019

Packages / Testing

• deequ (⭐2.5k) - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Nov 28, 2019

Packages / Notebooks and IDEs

• almond - A scala kernel for Jupyter.

Aug 24, 2019

Packages / SQL Data Sources

• Spark Avro (⭐539) - Apache Avro reader and writer (obselete since Spark 2.4 [SPARK-24768]).

Jan 26, 2019

Packages / Web Archives

• Archives Unleashed Toolkit (⭐121) - Open-source toolkit for analyzing web archives.

Aug 14, 2018

Packages / Language Bindings

• Flambo (⭐606) - Clojure DSL.

• sparklyr (⭐884) - An alternative R backend, using dplyr.

• sparkle (⭐439) - Haskell on Apache Spark.

Packages / Notebooks and IDEs

• Apache Zeppelin - Web-based notebook that enables interactive data analytics with plugable backends, integrated plotting, and extensive Spark support out-of-the-box.

• Spark Notebook (⭐3.1k) - Scalable and stable Scala and Spark focused notebook bridging the gap between JVM and Data Scientists (incl. extendable, typesafe and reactive charts).

• sparkmagic (⭐1.2k) - Jupyter magics and kernels for working with remote Spark clusters, for interactively working with remote Spark clusters through Livy (⭐991), in Jupyter notebooks.

Packages / General Purpose Libraries

• Succinct - Support for efficient queries on compressed data.

Packages / SQL Data Sources

• Spark XML (⭐422) - XML parser and writer.

• Spark Cassandra Connector (⭐1.9k) - Cassandra support including data source and API and support for arbitrary queries.

• Spark Riak Connector (⭐55) - Riak TS & Riak KV connector.

• Mongo-Spark (⭐662) - Official MongoDB connector.

• OrientDB-Spark (⭐19) - Official OrientDB connector.

Packages / Bioinformatics

• ADAM (⭐934) - Set of tools designed to analyse genomics data.

• Hail (⭐829) - Genetic analysis framework.

Packages / GIS

• Magellan (⭐520) - Geospatial analytics using Spark.

Packages / Time Series Analytics

• Spark-Timeseries (⭐1.2k) - Scala / Java / Python library for interacting with time series data on Apache Spark.

• flint (⭐964) - A time series library for Apache Spark.

Packages / Graph Processing

• Mazerunner (⭐377) - Graph analytics platform on top of Neo4j and GraphX.

• GraphFrames (⭐892) - Data frame based graph API.

• neo4j-spark-connector (⭐293) - Bolt protocol based, Neo4j Connector with RDD, DataFrame and GraphX / GraphFrames support.

• SparklingGraph - Library extending GraphX features with multiple functionalities useful in graph analytics (measures, generators, link prediction etc.).

Packages / Machine Learning Extension

• dbscan-on-spark (⭐178) - An Implementation of the DBSCAN clustering algorithm on top of Apache Spark by irvingc and based on the paper from He, Yaobin, et al. MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data.

• Apache SystemML - Declarative machine learning framework on top of Spark.

• Mahout Spark Bindings [status unknown] - linear algebra DSL and optimizer with R-like syntax.

• spark-sklearn (⭐1.1k) - Scikit-learn integration with distributed model training.

• JPMML-Spark (⭐94) - PMML transformer library for Spark ML.

• Distributed Keras (⭐620) - Distributed deep learning framework with PySpark and Keras.

• ModelDB - A system to manage machine learning models for spark.ml and scikit-learn .

• Sparkling Water (⭐935) - H2O interoperability layer.

• BigDL (⭐4k) - Distributed Deep Learning library.

• MLeap (⭐1.4k) - Execution engine and serialization format which supports deployment of o.a.s.ml models without dependency on SparkSession.

Packages / Middleware

• spark-jobserver (⭐2.8k) - Simple Spark as a Service which supports objects sharing using so called named objects. JVM only.

• Mist (⭐318) - Service for exposing Spark analytical jobs and machine learning models as realtime, batch or reactive web services.

• Apache Toree (⭐704) - IPython protocol based middleware for interactive applications.

Packages / Utilities

• silex (⭐18) - Collection of tools varying from ML extensions to additional RDD methods.

• sparkly (⭐52) - Helpers & syntactic sugar for PySpark.

• Flintrock (⭐610) - A command-line tool for launching Spark clusters on EC2.

Packages / Natural Language Processing

• spark-corenlp (⭐429) - DataFrame wrapper for Stanford CoreNLP.

Packages / Streaming

• Apache Bahir - Collection of the streaming connectors excluded from Spark 2.0 (Akka, MQTT, Twitter. ZeroMQ).

Packages / Interfaces

• Apache Beam - Unified data processing engine supporting both batch and streaming applications. Apache Spark is one of the supported execution environments.

• Blaze (⭐3.1k) - Interface for querying larger than memory datasets using Pandas-like syntax. It supports both Spark DataFrames and RDDs.

Packages / Testing

• spark-testing-base (⭐1.4k) - Collection of base test classes.

• spark-fast-tests (⭐363) - A lightweight and fast testing framework.

Packages / Workflow Management

• Cromwell (⭐856) - Workflow management system with Spark backend (⭐856).

Apr 12, 2017

Resources / Papers

• Spark SQL: Relational Data Processing in Spark - Paper introducing relational underpinnings, code generation and Catalyst optimizer.

Apr 05, 2017

Resources / Papers

• Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing - Paper introducing a core distributed memory abstraction.

Mar 02, 2017

Resources / Books

• Advanced Analytics with Spark - Useful collection of Spark processing patterns. Accompanying GitHub repository: sryza/aas (⭐1.5k).

• Mastering Apache Spark - Interesting compilation of notes by Jacek Laskowski. Focused on different aspects of Spark internals.

• Spark Gotchas (⭐344) - Subjective compilation of tips, tricks and common programming mistakes.

• Spark in Action - New book in the Manning's "in action" family with +400 pages. Starts gently, step-by-step and covers large number of topics. Free excerpt on how to setup Eclipse for Spark application development and how to bootstrap a new application using the provided Maven Archetype. You can find the accompanying GitHub repo here (⭐268).

Resources / MOOCS

• Data Science and Engineering with Apache Spark (edX XSeries) - Series of five courses (Introduction to Apache Spark, Distributed Machine Learning with Apache Spark, Big Data Analysis with Apache Spark, Advanced Apache Spark for Data Science and Data Engineering, Advanced Distributed Machine Learning with Apache Spark) covering different aspects of software engineering and data science. Python oriented.

Resources / Workshops

• AMP Camp - Periodical training event organized by the UC Berkeley AMPLab. A source of useful exercise and recorded workshops covering different tools from the Berkeley Data Analytics Stack.

Resources / Projects Using Spark

• Oryx 2 (⭐1.8k) - Lambda architecture platform built on Apache Spark and Apache Kafka with specialization for real-time large scale machine learning.

Resources / Miscellaneous

• Spark with Scala Gitter channel - "A place to discuss and ask questions about using Scala for Spark programming" started by @deanwampler.

Oct 22, 2016

Resources / Miscellaneous

• Apache Spark User List and Apache Spark Developers List - Mailing lists dedicated to usage questions and development topics respectively.

Jun 26, 2016

Resources / Projects Using Spark

• Crossdata (⭐168) - Data integration platform with extended DataSource API and multi-user environment.

Jun 22, 2016

Resources / Projects Using Spark

• Photon ML (⭐791) - A machine learning library supporting classical Generalized Mixed Model and Generalized Additive Mixed Effect Model.

Resources / Docker Images

• sequenceiq/docker-spark (⭐767) - Yarn images from SequenceIQ.

Jun 21, 2016

Resources / Docker Images

• jupyter/docker-stacks/pyspark-notebook (⭐6.9k) - PySpark with Jupyter Notebook and Mesos client.

Jun 11, 2016

Resources / MOOCS

• Big Data Analysis with Scala and Spark (Coursera) - Scala oriented introductory course. Part of Functional Programming in Scala Specialization.

Jun 10, 2016

Packages / Machine Learning Extension

• KeystoneML - Type safe machine learning pipelines with RDDs.

Feb 02, 2016

Resources / Projects Using Spark

• PredictionIO - Machine Learning server for developers and data scientists to build and deploy predictive applications in a fraction of the time.