1116 Open source projects that are alternatives of or similar to Magellan

GeoTrellis for PySpark

Official GeoTools repository

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.

A minimalist (geospatial) ETL

📡 A lightweight GIS Software in less than 100 lines of code

A simple Spark-powered ETL framework that just works 🍺

Feature Store for Machine Learning

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

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

❄️ 🐳 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

XYZ Hub is a RESTful web service for the access and management of geospatial data.

Package geom implements efficient geometry types for geospatial applications.

Server for the ListenBrainz project

Research on distributed system

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

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

A Clojure dataframe library that runs on Spark

Simple and Distributed Machine Learning

Koalas: pandas API on Apache Spark

Apache Spark on AWS Lambda

GeoJSON classes for R

Manage your XYZ Hub or HERE Data Hub spaces from Python.

Utilities for working with GeoJSON data in Julia

ACID Data Source for Apache Spark based on Hive ACID

Types and utilities for working with 2d geometry in Golang

Precinct shapes (and vote results) for US elections past, present, and future

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

Big Data for Data Engineers Coursera Specialization from Yandex

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

Apache Spark Website

Apache Spark 官方文档中文版

大数据入门指南 ⭐

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.

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

A Spark cluster setup running on Docker containers

Julia binding for Apache Spark

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

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

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

DE-9IM spatial predicate library implemented in Javascript.

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

Backing store for developmentseed/skynet-scrub

A Go language port of Turf.js

Basic implementation of the __geo_interface__

A modular geospatial engine written in python

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 .

open source tools for interaction with IBM PAIRS:

Import GeoJSON file into MongoDB using Python

Library for serializing the GeoJSON vector GIS file format

Enabling queries on compressed data.

Converting between Geojson and GIS file formats

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

A complete (distributed) BigData stack, running in containers

Blender addons to make the bridge between Blender and geographic data

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

A heterogeneous Apache Spark framework.

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

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

A simplified, lightweight ETL Framework based on Apache Spark