614 Open source projects that are alternatives of or similar to Spark Iforest

Moonbox is a DVtaaS (Data Virtualization as a Service) Platform

DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.

Scala examples for learning to use Spark

Geospatial Raster support for Spark DataFrames

Haskell on Apache Spark.

Optimize and improve the Label propagation algorithm

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

This is a repo documenting the best practices in PySpark.

Research on distributed system

A free tutorial for Apache Spark.

Healthbot configuration examples. Scripts to manage Healthbot. Closed loop automation. Healthbot building blocks description and troubleshooting guide

Spark、Flink等离线任务的调度以及实时任务的监控

An Integrated Experimental Platform for time series data anomaly detection.

A luigi powered analytics / warehouse stack

Iceberg is a table format for large, slow-moving tabular data

Spark Streaming监控平台，支持任务部署与告警、自启动

Learn and understand Docker technologies, with real DevOps practice!

四川大学拓思爱诺用户session行为数据离线分析项目

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

An End-to-end Outlier Detection System

The Internals of Spark Structured Streaming

An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).

High Performance HTTP Sidecar Load Balancer

Elassandra = Elasticsearch + Apache Cassandra

A simplified, lightweight ETL Framework based on Apache Spark

Open-source IoT Platform - Device management, data collection, processing and visualization.

Spark Streaming+Flume+Kafka+HBase+Hadoop+Zookeeper实现实时日志分析统计；SpringBoot+Echarts实现数据可视化展示

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Qubole Sparklens tool for performance tuning Apache Spark

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs

📊 Cube — Open-Source Analytics API for Building Data Apps

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

Google BigQuery support for Spark, Structured Streaming, SQL, and DataFrames with easy Databricks integration.

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data tech like Kafka.

A PyTorch implementation of the Deep SVDD anomaly detection method

Spark RDD with Lucene's query and entity linkage capabilities

A tool for monitoring and tuning Spark jobs for efficiency.

A large-scale entity and relation database supporting aggregation of properties

个人学习知识库涉及到数据仓库建模、实时计算、大数据、Java、算法等。

Parquet file generator

ClickHouse Native Protocol JDBC implementation

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Simple framework agnostic UI router for SPAs

Deep Learning sample programs using PyTorch in C++

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

something to help you spark

Anomaly detection

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

Coursera's big data course with Scala and Spark

spark summit 2017 SanFrancisco

Sparkling Water provides H2O functionality inside Spark cluster

Anomaly Detection and Correlation library

An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR

🔧 Use dplyr to analyze Big Data 🐘