Showing 4 open source projects for "java to do list"

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  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

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  • 1
    Error Prone

    Error Prone

    Catch common Java mistakes as compile-time errors

    Error Prone is a static analysis tool for Java that catches common programming mistakes at compile-time. It’s common for even the best programmers to make simple mistakes. And sometimes a refactoring that seems safe can leave behind code that will never do what’s intended. We’re used to getting help from the compiler, but it doesn’t do much beyond static type checking. Using Error Prone to augment the compiler’s type analysis, you can catch more mistakes before they cost you time, or end up as bugs in production. ...
    Downloads: 0 This Week
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  • 2
    kube-score

    kube-score

    Kubernetes object analysis with recommendations

    ...For container probes, a readiness should be configured, and should not be identical to the liveness probe. Read more in README_PROBES.md. Container securityContext, run as a high number user/group, do not run as root or with privileged root fs. Read more in README_SECURITYCONTEXT.md. Stable APIs, use a stable API if available (supported: Deployments, StatefulSets, DaemonSet)
    Downloads: 0 This Week
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  • 3
    WALA

    WALA

    Libraries for Analysis, with frontends for Java, Android, and JS

    ...The WALA publications department is populating this wiki with technical documentation on a demand-driven basis, driven by questions posted to the wala-wala mailing list and also Gitter.
    Downloads: 0 This Week
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  • 4
    DiffReport

    DiffReport

    Code Difference report

    Often I have seen some Huge Maintenance Projects it is always very difficult to track the incremental files for each release and If we want to do that we need to checkout both the branches and use some UI based tool to get the diff of the files finally we end up waiting in front of the PC for a long time and do this job. In many cases we spend more than 2 hrs/day. The time increases if there are more such parallel releases and at the end of the day 1 developer does it as full time job and...
    Downloads: 0 This Week
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