29 projects for "processing" with 2 filters applied:

  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    CloudI: A Cloud at the lowest level
    CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services. The bare essentials for efficient fault-tolerant processing on a cloud!
    Downloads: 0 This Week
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  • 2

    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.
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    Downloads: 11 This Week
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  • 3

    0sex

    Zero Simulation EXperiment - simulation framework experiment

    The main goal of the project is to explore different techniques and approaches related to general communicating processes, simulation, distributed processing, game "world simulation", dynamic signal processing etc.
    Downloads: 0 This Week
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  • 4
    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.
    Downloads: 0 This Week
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  • Run applications fast and securely in a fully managed environment Icon
    Run applications fast and securely in a fully managed environment

    Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.

    Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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  • 5

    neuranep

    Neural Network Engineering Platform

    A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc. NeuraNEP handles microthread scheduling, synchronization, distribution and communication. ...
    Downloads: 0 This Week
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  • 6
    Gpf4Med

    Gpf4Med

    Graph Processing Framework for Medical Information

    Gpf4Med is a graph processing framework for clinical data, which can leverage from previously existing medical database and Cloud computing facilities to address large-scale studies.
    Downloads: 0 This Week
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  • 7
    proJMS

    proJMS

    Messaging Library for the Processing environment

    proJMS is a library for Processing that allows the easy usage of JMS. It allows to publish and consume JMS messages and to create peer to peer communication between processing applications in a network. Refer to the wiki for installation and usage instructions.
    Downloads: 0 This Week
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  • 8
    DReAMSim

    DReAMSim

    Dynamic Re-configurable Autonomous Many-task Simulator

    ...DReAMSim has been intentionally developed with a very simple-to-use interface to allow novice programmers implement their own resource management techniques without being bothered with all the hassles of a full-fledged commercial simulator, yet it has the main features required for defining reconfigurable processing elements in a distributed environment.
    Downloads: 0 This Week
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  • 9
    Syoncloud

    Syoncloud

    Hadoop, Hbase, HBase Web Client, Flume based log analytics system

    Syoncloud Logs enables you to process log files from various applications using Hadoop, Flume and HBase. It has an easy installation and configurations interface. It has Syoncloud HBase web client. It displays tree of HBase tables and column families linked to paginated grid of data.
    Downloads: 0 This Week
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  • Banker’s Dashboard and Credit Union dashboard Icon
    Banker’s Dashboard and Credit Union dashboard

    For Bank and Credit Union CFOs and CEOs

    Get anytime, anywhere access to your bank or credit union’s financial performance. Get insights into your bank or credit union’s financial performance from anywhere with secure, cloud-based access. Get margin components, branch performance, forecasts and more with point-and-click simplicity. Banker’s Dashboard and Credit Union dashboard integrate seamlessly with your core processor. Quick and easy setup, so you can start improving your bottom line right away. Automate reporting and eliminate errors, freeing you to focus on more value-added tasks. Quickly run and revise multiple forecast scenarios, so you can analyze variances and alternative strategies. Measure and compare branch performance. Institute best practices and hold each branch accountable for better results.
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  • 10
    distributedPHP client

    distributedPHP client

    A simple script for distributed computing through PHP:

    ...Examples of use include: distributed math computation, encryption breaking, SETI@home/folding@home (well, if they made the projects in php..) distributed bruteforce attacks, ddos attacks, distributed processing, etc.. distributedPHP client can be configured to distribute computing to scripts written in a language other than php as long as the script supports html form input (or doesn't require input at all).
    Downloads: 0 This Week
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  • 11
    The Open Pervasive Computing Environment facilitates the creation of distributed context-sensitive systems (inc. embedded). It provides a number of frameworks for creating complex event processing systems driving the development of ubiquitous technology.
    Downloads: 0 This Week
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  • 12
    Meerkat is a distributed programming environment. It consists of a virtual machine which is suited to parallel processing. The data model is based on the concept of actors, although it is much more permissive than the traditional description.
    Downloads: 0 This Week
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  • 13
    Let's you synchronize related scheduled jobs, which execute across many different machines. Instead of adding time padding between jobs (which can fail), use this utility. Please feel free to add more functions!
    Downloads: 0 This Week
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  • 14
    This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.
    Downloads: 0 This Week
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  • 15
    Hotpotato is a Java based distributed processing client-server framework
    Downloads: 0 This Week
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  • 16
    The Simple, Scalable, Script-based Science Processor for Measurements (S4PM) is a system for highly automated processing of science data, scalable up to large processing systems and scalable down to small, special-purpose processing strings.
    Downloads: 0 This Week
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  • 17
    Open Source Remote Sensing OSSIM project, pronounced "awesome", will leverage existing algorithms/tools/packages from the open source community in construction of the ultimate Remote Sensing/Image Processing/GIS package. osgPlanet extends OSSIM and Op
    Downloads: 9 This Week
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  • 18
    Collection of Java tools and packages related to server-side (web application-oriented) XML processing, such as Adaptive XML Inclusions system with demo. Tools for personalization of XML content, Java-XML data binding and others will come later.
    Downloads: 0 This Week
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  • 19
    Prob-lo-Matic is a Chain of Responsibility implementation in Java designed to provide a robust, extensible and standardized error processing framework
    Downloads: 0 This Week
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  • 20
    UniNet is an open source project created to achieve an open dCPMS (Distributed Contents & Processing Management System). [http://uninet.sourceforge.net]
    Downloads: 0 This Week
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  • 21
    A light weigth high performance cluster server to link several Java machines into one logical unit. Medusa does not compete with J2EE servers but allows clustering of standard Java code for fail-over, redundancy and processing power.
    Downloads: 0 This Week
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  • 22
    Allows creation of a distributed data processing system. Provided is a pluggable Daemon and a framework for writing custom plugins. Plugins can be changed and configured remotely and on the fly. Configurations with example plugins are provided.
    Downloads: 0 This Week
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  • 23
    nemosomen is a framework for designing open source, network based, multimedia (video/openGL/sound/MIDI) realtime toys a suite of tools for distributed development, processing of media. It tries to shift most of the working process in realtime processes.
    Downloads: 0 This Week
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  • 24
    Java package containing architecture to distribute CPU intensive processing tasks across the internet. A generic client will be capable of running any task the server provides it, automatically updating the code it runs.
    Downloads: 0 This Week
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  • 25
    The project focuses on developing an environment where one can harness idle CPU cycles of numerous networked systems to work together on a particularly processing-intensive problem. (distributed computing you may call it)
    Downloads: 0 This Week
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