967 Open source projects that are alternatives of or similar to Geopyspark

Geo Spatial Data Analytics on Spark

Enabling queries on compressed data.

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

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

Building Large-Scale AI Applications for Distributed Big Data

Apache Calcite

open source tools for interaction with IBM PAIRS:

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 .

Big Data for Data Engineers Coursera Specialization from Yandex

A heterogeneous Apache Spark framework.

Apache Spark Website

A Clojure dataframe library that runs on Spark

A Spark cluster setup running on Docker containers

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

大数据入门指南 ⭐

rastercube is a python library for big data analysis of georeferenced time series data (e.g. MODIS NDVI)

❄️ 🐳 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

Julia binding for Apache Spark

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

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

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.

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

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

High-performance Terrain and Hydrology Analysis

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

Feature Store for Machine Learning

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

Apache Spark 官方文档中文版

Research on distributed system

Server for the ListenBrainz project

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

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.

Simple and Distributed Machine Learning

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

Koalas: pandas API on Apache Spark

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.

ACID Data Source for Apache Spark based on Hive ACID

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

A complete (distributed) BigData stack, running in containers

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

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

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.

Mirror of Apache Calcite - Avatica

A simplified, lightweight ETL Framework based on Apache Spark

A simple Spark-powered ETL framework that just works 🍺

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

Apache Spark on AWS Lambda

Process Common Crawl data with Python and Spark

Java bindings for H3, a hierarchical hexagonal geospatial indexing system

Simple and beautiful card component with an elegant spark line, for VueJS.

Voronoi / Delaunay tessellations on the sphere

geospatial xarray extension powered by rasterio

Updated repository

LearningApacheSpark

Pandas and Spark DataFrame comparison for humans

Simple windows desktop application for viewing & querying Apache Parquet files

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

A component of MapFish for printing templated cartographic maps. This module is the Java serverside module. For support post to the mailing list: https://groups.google.com/forum/#!forum/mapfish-print-users

A Persistent Geospatial Database with Geofencing & Google Maps Support

DataStax Spark Cassandra Connector