Showing 2 open source projects for "weight scale management"

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  • Find out just how much your login box can do for your customer | Auth0 Icon
    Find out just how much your login box can do for your customer | Auth0

    With over 53 social login options, you can fast-track the signup and login experience for users.

    From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
  • SKUDONET Open Source Load Balancer Icon
    SKUDONET Open Source Load Balancer

    Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

    SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
  • 1
    Ockam

    Ockam

    Orchestrate end-to-end encryption, mutual authentication

    Ockam is a suite of open source tools, programming libraries, and managed cloud services to orchestrate end-to-end encryption, mutual authentication, key management, credential management, and authorization policy enforcement – at massive scale. Modern applications are distributed and have an unwieldy number of interconnections that must trustfully exchange data. To build trust for data-in-motion, applications need end-to-end guarantees of data authenticity, integrity, and confidentiality...
    Downloads: 0 This Week
    Last Update:
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  • 2
    xsv

    xsv

    A fast CSV command line toolkit written in Rust

    ... the data and start examining it. The next thing you might want to do is get an overview of the kind of data that appears in each column. The stats command will do this for you. The xsv table command takes any CSV data and formats it into aligned columns using elastic tabstops. These commands are instantaneous because they run in time and memory proportional to the size of the slice (which means they will scale to arbitrarily large CSV data).
    Downloads: 1 This Week
    Last Update:
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