Showing 6 open source projects for "data capture framework"

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    Extract TOTP/HOTP secrets

    Extract TOTP/HOTP secrets

    Extract one time password (OTP) secrets from QR codes

    The Python script extract_otp_secrets.py extracts one-time password (OTP) secrets from QR codes exported by two-factor authentication (2FA) apps such as "Google Authenticator".
    Downloads: 0 This Week
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  • 2
    OSCAL

    OSCAL

    Open Security Controls Assessment Language (OSCAL)

    ...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 generic enough to capture the breadth of data in scope (controls specifications), while also capable of ad-hoc tuning and extension to support peculiarities of both (industry or sector) standards and new control types. The OSCAL website provides an overview of the OSCAL project, including an XML and JSON schema reference, examples, and other resources.
    Downloads: 4 This Week
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  • 3
    Connexion

    Connexion

    Swagger/OpenAPI First framework for Python on top of Flask

    Connexion is a framework on top of Flask that automagically handles HTTP requests defined using OpenAPI (formerly known as Swagger), supporting both v2.0 and v3.0 of the specification. Connexion allows you to write these specifications, then maps the endpoints to your Python functions. This is what makes it unique from other tools that generate the specification based on your Python code. You are free to describe your REST API with as much detail as you want and then Connexion guarantees...
    Downloads: 4 This Week
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  • 4
    flatten_json

    flatten_json

    Flatten JSON in Python

    Flattens JSON objects in Python. flatten_json flattens the hierarchy in your object which can be useful if you want to force your objects into a table.
    Downloads: 0 This Week
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  • 5
    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. ...
    Downloads: 0 This Week
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  • 6
    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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