Search Results for "framework-arduinoststm32"
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Showing 32 open source projects for "framework-arduinoststm32"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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kubenav
kubenav is the navigator for your Kubernetes clusters
kubenav is a mobile, desktop and web app to manage Kubernetes clusters. The app provides an overview of all resources in a Kubernetes clusters, including current status information for workloads. The details view for resources provides additional information. It is possible to view logs and events or to get a shell into a container. You can also edit and delete resources or scale your workloads within the app. The app is developed using Ionic Framework and Capacitor. The frontend part... -
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Corosync Cluster Engine
The Corosync Cluster Engine
... the ability to set, retrieve, and receive change notifications of information. A quorum system that notifies applications when a quorum is achieved or lost. Our project is used as a high-availability framework by projects such as Pacemaker and Asterisk. We are always looking for developers or users interested in clustering or participating in our project. -
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Save is a lightweight framework for creating high availability systems based on Mon with extensions for authenticated heartbeats and IP address takeover. Save also provides validation, synchronization, and archival of configuration and other files.
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pycos
Python framework for concurrent, asynchronous, distributed tasks
Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing. -
No-Nonsense Code-to-Cloud Security for Devs | AikidoAikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
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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. -
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The Community Scheduler Framework (CSF) is a set of Grid Services, implemented using the Globus Toolkit, which provides an environment for the development of metaschedulers that can dispatch jobs to resource managers such as LSF, SGE, PBS and Condor.
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GPU, a Global Processing Unit
A framework for distributed computing
An extensible framework for distributed computing on P2P grids. We support peaceful free and open research and build an internet supercomputer. We render movies, solve Eternity puzzles, predict climate and improve a ~30 GHz cluster of clients. -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll... -
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Inkus
Private cloud hosting software including ESB
This framework is essentially a Service Development Framework that uses non-invasive techniques to deliver the core features of a private cloud while maintaining independence from it -
Photo and Video Editing APIs and SDKsUnlock Picsart's full editing suite by embedding our Editor SDK directly into your platform. Offer your users the power of a full design suite without leaving your site.
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ForeIndex
Distributed Index with Apache Hadoop, Apache Lucene and Apache Tika
This is a distributed index framework using Apache Hadoop, Apache Lucene and Apache Tika, to index large volume of data. -
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This project aims to provide a reliable cloud computing system, able to work with cloud computing framework existing today. Developed and maintained by Alecsandru Patrascu, Computer Science, University Politehnica of Bucharest
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Channel is a C++ framework for distributed message passing and event dispatching, configurable with its components (msg ids,routing algorithms...) as template parameters. As a namespace shared by peer threads, channel supports scope control and filtering
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NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in Python, making it easier to write distributed applications.
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NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in R. It allows users to write parallel programs in R easily.
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Web Reporting
although fully functional, this is a pre-framework that you can extend
Fourfive is a powerful yet extremely easy-to-configure web reporting solution for Oracle and possibly other RDBMS. -
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Jgroup/ARM is a replication framework that supports group method invocations, hides replication from the clients, and partitioning in distributed systems. In addition, the replication management facility supports autonomous replica deployment and recovery
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Essence is a simple Java framework with modules for Quantitative Analysis and Distributed Data systems.
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FMACJ is a parallelization framework for the .NET CLR that gives your applications multicore/cluster support by saying what should be parallelized via attributes. You do not have to think about threads and networks at all. FMACJ also runs on Mono.
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Alchemi is a .NET grid computing framework that allows you to painlessly aggregate the computing power of intranet and Internet-connected machines into a virtual supercomputer (computational grid) and to develop applications to run on the grid.
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Alternative implementation of Spring framework remoting subsystem that supports different schemes of remote communication between client and server (1-1, 1-many, dynamic services discovering).
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Provides distributed method invocation capabilities to regular Java classes with limited or no extra work for the developer. The workload is balanced over participating machines. Java API, Anders Björklund
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OpenRDS (Open Requisition Distribution System) is a framework written in Java/RMI conceived for making requisition-based distributed systems (clustering) easy to develop/manage. It's design emphasizes robustness, simplicity and scalability.
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UPDATE: Chromium is no longer updated or maintained. The project is frozen. Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base.
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OpenEMS™ is the multi platform Grid framework to seamlessly aggregate all your multi platform resources into a virtual super computer.
