Showing 5 open source projects for "cpp set up"

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  • Secure File Transfer for Windows with Cerberus by Redwood Icon
    Secure File Transfer for Windows with Cerberus by Redwood

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  • 1
    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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  • 2
    Django REST Pandas

    Django REST Pandas

    Serves up Pandas dataframes via the Django REST Framework

    Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This...
    Downloads: 0 This Week
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  • 3
    Aurora Application Server is a new Python Web Application Server and Framework. The main goal of the project is to provide the developer with a complete set of tools to speed up the application development process. See project wiki for more information.
    Downloads: 0 This Week
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  • 4
    A Python program to deduce the DTD from a set of related XML files. It may not be 100% automatic but easies up the initial step before manual adjusting. The number of documents can be huge, like 100k.
    Downloads: 0 This Week
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  • 5

    PySimpleTable

    Lightweight Python 2D table object with column headers

    For 2D data objects in Python, you have 3 main options: - Numpy Array - Pandas DataFrame (built on np.array) - SQL table Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row. SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects. PySimpleTable tries to find the middle ground with more flexibility than Numpy or Pandas for incrementally building a 2D object without needing to use SQL. ...
    Downloads: 0 This Week
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