Showing 2 open source projects for "data quality"

View related business solutions
  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
    Start Free Trial
  • AI-powered service management for IT and enterprise teams Icon
    AI-powered service management for IT and enterprise teams

    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
    Try it Free
  • 1
    J2ObjC

    J2ObjC

    A Java to iOS Objective-C translation tool and runtime

    J2ObjC is an open-source command-line tool from Google that translates Java source code to Objective-C for the iOS (iPhone/iPad) platform. This tool enables Java source to be part of an iOS application's build, as no editing of the generated files is necessary. The goal is to write an app's non-UI code (such as application logic and data models) in Java, which is then shared by web apps (using GWT), Android apps, and iOS apps. J2ObjC supports most Java language and runtime features required...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    Luban

    Luban

    Image compression with efficiency very close to WeChat

    ...Although there are already a lot of writings on the internet on the topic, a great number of possible scenarios still have to be thought of, like unsuccessful compressions, too small pictures (eg. for profile pictures) or too bad image quality. Naturally, the first idea was to see how WeChat, the app giant manages this task in action. To gather data, 100 images with different resolutions were sent through WeChat Moments, then the compressed images were compared with the original ones. Luban's foundation is the result of this analysis on WeChat's compression method. Because the process was analyzed backward, Luban's efficacy is not yet exactly the same as that of WeChat, but the results are already very close to what WeChat Moments' image compression produces.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
Auth0 Logo