Showing 4 open source projects for "tiny-core-plus"

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    UCall

    UCall

    Up to 100x Faster FastAPI. JSON-RPC with io_uring, SIMDJSON

    ...FastAPI, for example, looks very approachable. We aim to be equally or even simpler to use. It takes over a millisecond to handle a trivial FastAPI call on a recent 8-core CPU. In that time, light could have traveled 300 km through optics to the neighboring city or country, in my case. How does UCall compare to FastAPI and gRPC? How can a tiny pet-project with just a couple thousand lines of code compete with two of the most established networking libraries? UCall stands on the shoulders of Giants.
    Downloads: 0 This Week
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  • 2
    AWS IoT Device SDK for Embedded C

    AWS IoT Device SDK for Embedded C

    SDK for connecting to AWS IoT from a device using embedded C

    The AWS IoT Device SDK for Embedded C (C-SDK) is a collection of C source files under the MIT open source license that can be used in embedded applications to securely connect IoT devices to AWS IoT Core. It contains MQTT client, HTTP client, JSON Parser, AWS IoT Device Shadow, AWS IoT Jobs, and AWS IoT Device Defender libraries. This SDK is distributed in source form and can be built into customer firmware along with application code, other libraries, and an operating system (OS) of your choice. These libraries are only dependent on standard C libraries, so they can be ported to various OS's - from embedded Real-Time Operating Systems (RTOS) to Linux/Mac/Windows. ...
    Downloads: 0 This Week
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  • 3
    Advanced C/C++ library(ACL) for UNIX-like OS and WIN32 OS, including sync/async/ssl iostream for net/file, thread pool, process pool, db pool, server framework, event, memory, string, array/hash/ring/list, xml and json parser, http/smtp/icmp protocol, SSL/TLS, C unit test, etc
    Downloads: 1 This Week
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  • 4
    casync

    casync

    Content-addressable data synchronization tool

    ...Let's take a large linear data stream, split it into variable-sized chunks (the size of each being a function of the chunk's contents), and store these chunks in individual, compressed files in some directory, each file named after a strong hash value of its contents, so that the hash value may be used to as key for retrieving the full chunk data. Let's call this directory a "chunk store". At the same time, generate a "chunk index" file that lists these chunk hash values plus their respective chunk sizes in a simple linear array. The chunking algorithm is supposed to create variable, but similarly sized chunks from the data stream.
    Downloads: 0 This Week
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