Open Source Mac Distributed Computing Software
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Distributed Computing Software for Mac
View 50 business solutionsBrowse free open source Distributed Computing software and projects for Mac below. Use the toggles on the left to filter open source Distributed Computing software by OS, license, language, programming language, and project status.
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TurboVNC
High-speed, 3D-friendly, TightVNC-compatible remote desktop software
TurboVNC is a high-performance, enterprise-quality version of VNC based on TightVNC, TigerVNC, and X.org. It contains a variant of Tight encoding that is tuned for maximum performance and compression with 3D applications (VirtualGL), video, and other image-intensive workloads. TurboVNC, in combination with VirtualGL, provides a complete solution for remotely displaying 3D applications with interactive performance. TurboVNC's high-speed encoding methods have been adopted by TigerVNC and libvncserver, and TurboVNC is also compatible with any other TightVNC derivative. TurboVNC forked from TightVNC in 2004 and still covers all of the TightVNC 1.3.x features, but TurboVNC contains numerous feature enhancements and bug fixes relative to TightVNC, and it compresses 3D and video workloads much better than TightVNC while using generally only 5-20% of the CPU time of the latter. Using non-default settings, TurboVNC can also be made to compress 2D workloads as "tightly" as TightVNC. -
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JupyterLab
JupyterLab computational environment
JupyterLab is the next-generation web-based user interface for Project Jupyter. Try it on Binder. JupyterLab follows the Jupyter Community Guides. JupyterLab enables you to work with documents and activities such as Jupyter notebooks, text editors, terminals, and custom components in a flexible, integrated, and extensible manner. You can arrange multiple documents and activities side by side in the work area using tabs and splitters. Documents and activities integrate with each other, enabling new workflows for interactive computing. JupyterLab also offers a unified model for viewing and handling data formats. JupyterLab understands many file formats (images, CSV, JSON, Markdown, PDF, Vega, Vega-Lite, etc.) and can also display rich kernel output in these formats. See File and Output Formats for more information. To navigate the user interface, JupyterLab offers customizable keyboard shortcuts and the ability to use key maps from vim, emacs, and Sublime Text in the text editor. -
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Zipkin
Distributed tracing system to gather timing data
Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed. The Zipkin UI also presents a Dependency diagram showing how many traced requests went through each application. This can be helpful for identifying aggregate behavior including error paths or calls to deprecated services. Applications need to be “instrumented” to report trace data to Zipkin. -
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SocketTest - powerful and small software tool for socket testing. It can create both TCP and UDP client or server. It can be used to test any server or client that uses TCP or UDP protocol to communicate.
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Blazegraph (powered by bigdata)
Fast, scalable, robust graph database platform
Blazegraph has moved to Github. Please see https://github.com/blazegraph/database/. -
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Tyrex provides J2EE services for security and authentication, local and distributed transactions, resource configuration and pooling, and TP monitoring.
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A Console-based BitTorrent Client with built-in scheduler for handling multiple sessions. It is designed to manage sessions in queue easily without heavy-weight GUI. External module can search for new torrents in trackers and submit it automatically.
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Ganglia
Scalable, distributed monitoring system for high-performance computing
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. Supports clusters up to 2000 nodes in size. -
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A distributed, peer-to-peer, server-less communication & messaging solution for JAVA (JMS), C++ and .NET applications, integrates with JBoss, WebLogic & WebSphere. Offers guaranteed delivery, security and transactions. Supports TCP, SSL & HTTP protocols.
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GridBlocks builds a grid application framework via easy-to-use building blocks in distributed environment. The framework offers components for Grid security, distributed storage, computing, and Portlet web interfaces.
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Vine Server(OSXvnc) is a robust, full-featured VNC server for MacOS X. It allows VNC clients to remotely view or control the machine. It is provided by TestPlant, for use with Vine Viewer AND Eggplant for cross-platform testing,
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Karma tool is a standalone tool that can be added to existing cyberinfrastructure for purposes of collection and representation of provenance data. Karma utilizes a modular architecture that permits support for multiple instrumentation plugins that make it usable in different architectural settings.
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RabbitRemoteControl
Remote control. Support VNC, RDP, Terminal, SSH, TELNET etc
Rabbit Remote Control is a open-source, cross-platform, multi-protocol remote control software. Allows you to use any device and system in anywhere and remotely manage any device and system in any way. Its goal is to be simple, convenient, security and easy to use, improving work efficiency. It include remote desktop, remote control, file transfer(FTP, SFTP), terminal, remote terminal(SSH, TELNET), player, network tools etc functions. This is only a read-only mirror repository. Main repository: https://github.com/KangLin/RabbitRemoteControl -
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Render Farm Manager, Project Tracker.
CGRU: Afanasy render farm manager and RULES project tracker.
CGRU is an open source CG tools pack, includes Afanasy render farm manager and RULES project tracker. -
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The XPS is a scalable platform for meta-programming and domain engineering. It provides a virtual machine, compiler, and runtime library that make it possible to efficiently develop, debug, and run programs based on XPL (eXtensible Programming Language)
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Alluxio
Open Source Data Orchestration for the Cloud
Alluxio is the world’s first open source data orchestration technology for analytics and AI for the cloud. It bridges the gap between computation frameworks and storage systems, bringing data from the storage tier closer to the data driven applications. This enables applications to connect to numerous storage systems through a common interface. It makes data local, more accessible and as elastic as compute. -
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Pholcus
Distributed high-concurrency crawler software written in pure golang
Pholcus is a high-concurrency crawler software written in pure Go language that supports distributed, only used for programming learning and research. It supports three operating modes of stand-alone, server and client, and has three operating interfaces, Web, GUI, and command line; simple and flexible rules, concurrent batch tasks, and rich output methods (mysql/mongodb/kafka/csv/excel, etc.); In addition, it also supports horizontal and vertical grabbing modes, and a series of advanced functions such as simulated login and task suspension and cancellation. This software is only used for academic research, users need to abide by the relevant laws and regulations of their location, please do not use it for illegal purposes! Provide users with a certain Go or JS programming foundation with a heavyweight crawler tool that only needs to pay attention to rule customization and complete functions. -
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GridSim allows modeling and simulation of entities in parallel and distributed computing systems such as users, applications, resources, and resource brokers/schedulers for design and evaluation of scheduling algorithms. http://www.gridbus.org/gridsim
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MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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Joone is a neural net framework written in Java(tm). It's composed by a core engine, a GUI editor and a distributed training environment and can be extended by writing new modules to implement new algorithms or architectures starting from base component
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samizdat
Kerberized Messaging Toolkit for Java
Samizdat is a toolkit for Java for building Kerberos secured distributed, message-oriented applications. The toolkit contains base classes that simplifies the management of Kerberos login contexts as well as flexibly sign and seal messages between principals using the Java GSS API. The toolkit contains Transformation classes for Kerberizing JMS traffic as well as a super-lean HTTP based protocol stack that supports both Synchronous (RPC) and Asynchronous modalities. -
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YaCy Peer-to-Peer Search Engine
Decentralized Web Search Engine
YaCy is a free search engine that anyone can use to build search the internet (www and ftp) or to create a search portal for others (internet or intranet). The scale of YaCy is limited only by the number of users and can index billions of web pages. In p2p mode it is fully decentralized, all users of the search engine network are equal and it is not possible for anyone to censor the content of the distributed index. -
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Loki Render
A simple and easy to use render farm for Blender
Loki Render allows you to create your own render farm, serving Blender render jobs to a group of computers. Loki is easy to setup and runs on Linux, Windows or Mac, making it a quick and flexible distributed network rendering solution! -
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.
