Showing 4 open source projects for "word processor python"

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  • 1
    yq JSON

    yq JSON

    Command-line YAML, XML, TOML processor

    Before using yq, you also have to install its dependency, jq. See the jq installation instructions for details and directions specific to your platform. On macOS, yq is also available on Homebrew use brew install python-yq.
    Downloads: 4 This Week
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  • 2
    jackson-core

    jackson-core

    Core part of Jackson that defines Streaming API

    This project contains core low-level incremental ("streaming") parser and generator abstractions used by Jackson Data Processor. It also includes the default implementation of handler types (parser, generator) that handle JSON format. The core abstractions are not JSON specific, although naming does contain 'JSON' in many places, due to historical reasons. Only packages that specifically contain the word 'json' are JSON-specific. This package is the base on which Jackson's data-binding package builds on. ...
    Downloads: 21 This Week
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  • 3
    OSCAL

    OSCAL

    Open Security Controls Assessment Language (OSCAL)

    NIST is developing the Open Security Controls Assessment Language (OSCAL), a set of hierarchical, XML-, JSON-, and YAML-based formats that provide a standardized representation of information pertaining to the publication, implementation, and assessment of security controls. OSCAL is being developed through a collaborative approach with the public. Public contributions to this project are welcome. With this effort, we are stressing the agile development of a set of minimal formats that are...
    Downloads: 4 This Week
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  • 4
    Extended Memory Semantics (EMS)

    Extended Memory Semantics (EMS)

    Persistent shared object memory and parallelism for Node.js and Python

    EMS makes possible persistent shared memory parallelism between Node.js, Python, and C/C++. Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming. A modern multi-core server has 16-32 cores and nearly 1TB of memory, equivalent to an entire rack of systems from a few years ago. As a consequence, jobs formerly requiring a Map-Reduce cluster can now be performed entirely in shared memory on a single server without...
    Downloads: 0 This Week
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