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Combination of multiple linters to install as a GitHub Action
...It is a simple combination of various linters, written in bash, to help validate your source code. The super-linter finds issues and reports them to the console output. Fixes are suggested in the console output but not automatically fixed, and a status check will show up as failed on the pull request. The design of the Super-Linter is currently to allow linting to occur in GitHub Actions as a part of continuous integration occurring on pull requests as the commits get pushed. It works best when commits are being pushed early and often to a branch with an open or draft pull request. ...
esprint (pronounced E-S-sprint) speeds up eslint by running the linting engine across multiple threads. esprint sets up a server daemon to cache the lint status of each file in memory. It uses a watcher to determine when files change, to only lint files as necessary. It also has a CI mode where it does not set up a daemon and just lints in parallel. In order to use esprint, first place an .esprintrc file in the root directory your project. This is similar to a .flowconfig if you use flow types. ...
...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 has zero productivity. I thought of adding value here. This just gets the diff files. Can be used for Static code analysis like PMD to do PMD only for the delta.
The current status of the project is in Development". If you wish to add something please mail me.
...See https://github.com/turdusmerula/ftrace
GScopeLog is a tool for instrumenting c++ code through gcc. The main purpose is to trace entry/exit point of functions. A status file may be generated to give overview of functions calls and timing informations with minimal impact on performances.
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Rapidlogix is an open source application performance management tool optimized for distributed production environments. It allows to increase time-to-market of performance improvements and prevent performance regression
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