11 projects for "jpk data processing" with 2 filters applied:

  • Build AI Apps with Gemini 3 on Vertex AI Icon
    Build AI Apps with Gemini 3 on Vertex AI

    Access Google’s most capable multimodal models. Train, test, and deploy AI with 200+ foundation models on one platform.

    Vertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.
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  • AI-generated apps that pass security review Icon
    AI-generated apps that pass security review

    Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.

    Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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: 5 This Week
    Last Update:
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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: 1 This Week
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  • 3
    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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  • 4
    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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  • Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud Icon
    Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud

    Get back to your application and leave the database to us. Cloud SQL automatically handles backups, replication, and scaling.

    Cloud SQL is a fully managed relational database for MySQL, PostgreSQL, and SQL Server. We handle patching, backups, replication, encryption, and failover—so you can focus on your app. Migrate from on-prem or other clouds with free Database Migration Service. IDC found customers achieved 246% ROI. New customers get $300 in credits plus a 30-day free trial.
    Try Cloud SQL Free
  • 5
    distributedPHP client

    distributedPHP client

    A simple script for distributed computing through PHP:

    distributedPHP client is a simple PHP script that can simultaneously activate/send data to as many web scripts as you want. You must open and configure the distributedPHP .php file prior to running it. ditributedPHP client supports activating scripts without data, sending the same data to all scripts, sending unique data to each script or sending user input to each script. 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.. ...
    Downloads: 0 This Week
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  • 6
    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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  • 7
    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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  • 8
    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: 2 This Week
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  • 9
    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
    Last Update:
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  • Cut Cloud Costs with Google Compute Engine Icon
    Cut Cloud Costs with Google Compute Engine

    Save up to 91% with Spot VMs and get automatic sustained-use discounts. One free VM per month, plus $300 in credits.

    Save on compute costs with Compute Engine. Reduce your batch jobs and workload bill 60-91% with Spot VMs. Compute Engine's committed use offers customers up to 70% savings through sustained use discounts. Plus, you get one free e2-micro VM monthly and $300 credit to start.
    Try Compute Engine
  • 10
    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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  • 11
    An implementation of a high performance distributed storage and processing system for large amounts of structured data.
    Downloads: 0 This Week
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