2458 Open source projects that are alternatives of or similar to Listenbrainz Server

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

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

A Spark cluster setup running on Docker containers

Apache Spark on AWS Lambda

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

Geo Spatial Data Analytics on Spark

按知识领域整理面试题，包括C++、Java、Hadoop、机器学习等

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

大数据入门指南 ⭐

An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.

简单的可视化湖州通话数据 假设数据量很大，没法用浏览器直接绘制热力图，把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后，再使用Apache Spark绘制热力图，然后用leafletjs加载OpenStreetMap图层和热力图图层，以达到良好的交互效果。现在使用Apache Spark实现绘制，可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法，并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .

A complete (distributed) BigData stack, running in containers

Semi-official Apache CouchDB Docker images

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。

A heterogeneous Apache Spark framework.

Apache Spark - A unified analytics engine for large-scale data processing

Apache Spark Website

A simple Spark-powered ETL framework that just works 🍺

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

Apache Spark 官方文档中文版

Simple and Distributed Machine Learning

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

ACID Data Source for Apache Spark based on Hive ACID

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.

An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.

ClickHouse Native Protocol JDBC implementation

Spark-Crawler: Apache Nutch-like crawler that runs on Apache Spark.

An open source cybersecurity protocol for syncing decentralized graph data.

Mirror of Apache Metamodel

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Apache CouchDB Documentation

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Griffon Data Science Virtual Machine

Research on distributed system

Big Data for Data Engineers Coursera Specialization from Yandex

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

Feature Store for Machine Learning

Two-day workshop that covers how to use R to interact databases and Spark

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Apache Hive

Apache ORC - the smallest, fastest columnar storage for Hadoop workloads

GeoTrellis for PySpark

Big Data Processing Framework - Unified Data API or SQL on Any Storage

A Clojure dataframe library that runs on Spark

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

Koalas: pandas API on Apache Spark

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

Compile-time Language Integrated Queries for Scala

Apache CouchDB

CrateDB is a distributed SQL database that makes it simple to store and analyze massive amounts of data in real-time.

Apache Ignite

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Application Performance Optimization Summary

Apache IoTDB

Julia binding for Apache Spark

Enabling queries on compressed data.

A simplified, lightweight ETL Framework based on Apache Spark

Building Large-Scale AI Applications for Distributed Big Data