Displaying 1 to 20 from 105 results

js-marker-clusterer - A marker clustering library for the Google Maps JavaScript API v3.


The library creates and manages per-zoom-level clusters for large amounts of markers. Google API v3.

MySQL - World's most popular open source database


The MySQL database is the world's most popular open source database because of its consistent fast performance, high reliability and ease of use. It is used by individual Web developers as well as many of the world's largest and fastest-growing organizations to save time and money powering their high-volume Web sites.

minikube - Run Kubernetes locally


Minikube is a tool that makes it easy to run Kubernetes locally. Minikube runs a single-node Kubernetes cluster inside a VM on your laptop for users looking to try out Kubernetes or develop with it day-to-day.We also released a Debian package and Windows installer on our releases page If you maintain a minikube package, please feel free to add it here.




Ganglia - scalable distributed monitoring system


Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization.

Carrot2 - Search Results Clustering Engine


Carrot2 is an Open Source Search Results Clustering Engine. It could cluster the search results from various sources and generates small collection of documents. Carrot2 offers ready-to-use components for fetching search results from various sources including YahooAPI, GoogleAPI, Bing API, eTools Meta Search, Lucene, SOLR, Google Desktop and more.

Hadoop Common


Apache Hadoop is a framework for running applications on large clusters built of commodity hardware. Hadoop common supports other Hadoop subprojects

TensorFlowOnSpark - TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters


TensorFlowOnSpark brings scalable deep learning to Apache Hadoop and Apache Spark clusters. By combining salient features from deep learning framework TensorFlow and big-data frameworks Apache Spark and Apache Hadoop, TensorFlowOnSpark enables distributed deep learning on a cluster of GPU and CPU servers.TensorFlowOnSpark was developed by Yahoo for large-scale distributed deep learning on our Hadoop clusters in Yahoo's private cloud.



akka.net - Port of Akka actors for .NET


Akka.NET is a community-driven port of the popular Java/Scala framework Akka to .NET.If you are interested in helping porting Akka to .NET please take a look at Contributing to Akka.NET.

kubicorn - Simple. Cloud Native. Kubernetes. Infrastructure.


Create, manage, snapshot, and scale Kubernetes infrastructure in the public cloud.kubicorn is an unofficial project that solves the Kubernetes infrastructure problem and gives users a rich golang library to work with infrastructure.

fleet - multi-server continuous git-based deployment and process management


Command an armada of processes in a cluster.You can start as many drones as you want in fresh directories.

elasticsearch-dump - Import and export tools for elasticsearch


Tools for moving and saving indicies.elasticdump works by sending an input to an output. Both can be either an elasticsearch URL or a File.

socketcluster - Highly scalable realtime framework


SocketCluster is a fast, highly scalable HTTP + realtime server engine which lets you build multi-process realtime servers that make use of all CPU cores on a machine/instance. It removes the limitations of having to run your Node.js server as a single thread and makes your backend resilient by automatically recovering from worker crashes and aggregating errors into a central log on each host. SC can also auto-scale across multiple hosts on top of Kubernetes; see SCC guide: https://github.com/SocketCluster/socketcluster/blob/master/scc-guide.md.There are two ways to install SocketCluster.

Leaflet.markercluster - Marker Clustering plugin for Leaflet


Provides Beautiful Animated Marker Clustering functionality for Leaflet, a JS library for interactive maps. See the included examples for usage.

Spark - Fast Cluster Computing


Apache Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write. To run programs faster, Spark offers a general execution model that can optimize arbitrary operator graphs, and supports in-memory computing, which lets it query data faster than disk-based engines like Hadoop.

Performance Co-Pilot - System Performance and Analysis Framework.


Performance Co-Pilot (PCP) provides a framework and services to support system-level performance monitoring and management. It presents a unifying abstraction for all of the performance data in a system, and many tools for interrogating, retrieving and processing that data. The distributed PCP architecture makes it especially useful for those seeking centralized monitoring of distributed processing.

Synnefo - Open source Cloud Software, Used to create massively scalable IaaS clouds


Synnefo is a complete open source cloud stack written in Python that provides Compute, Network, Image, Volume and Storage services, similar to the ones offered by AWS. Synnefo manages multiple Ganeti clusters at the backend for handling low-level VM operations and uses Archipelago to unify cloud storage. To boost 3rd-party compatibility, Synnefo exposes the OpenStack APIs to users.

Hazelcast - In-Memory Data Grid for Java


Hazelcast is a clustering and highly scalable data distribution platform for Java. It supports Distributed implementations of java.util.{Queue, Set, List, Map}, java.util.concurrency.locks.Lock, java.util.concurrent.ExecutorService, Distributed Indexing and Query support, Dynamic scaling, partitioning with backups, fail-over, Web-based cluster monitoring tool and lot more.

Vector - Performance Monitoring Framework


Vector is an open source on-host performance monitoring framework which exposes hand picked high resolution system and application metrics to every engineer’s browser. Having the right metrics available on-demand and at a high resolution is key to understand how a system behaves and correctly troubleshoot performance issues.