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Description

Uncover security weaknesses within a codebase using CodeQL, our premier semantic analysis tool for code. CodeQL empowers you to treat code as if it were data, enabling the writing of queries to identify every variant of a vulnerability, thereby eliminating it for good. By sharing your findings, you can assist others in this vital task. CodeQL is available at no cost for both research and open source projects. Execute real queries against widely-used open source codebases with CodeQL integrated into Visual Studio Code, experiencing firsthand the effectiveness of identifying poor coding practices and pinpointing similar issues throughout the entire codebase. You also have the option to create your own CodeQL databases for any project that complies with an OSI-approved open source license. It’s important to note that GitHub CodeQL is restricted to use on codebases that are either released under an OSI-approved open source license, utilized for academic research, or employed to generate CodeQL databases for automated analyses. To get started, simply download and incorporate the project's CodeQL database into VS Code, or generate a CodeQL database using the CodeQL command-line interface, allowing you to enhance your code's security comprehensively. Utilizing CodeQL not only improves your project but contributes to a safer coding environment for everyone.

Description

Software projects are often complex. The law of entropy makes it more complicated. Developers easily get lost in the dependency network, and they tend to create designs that don't stand the test of time. Softagram automatically illustrates how dependencies change. Automated integration allows you to decorate pull requsts in GitHub, Bitbucket and Azure DevOps with a dependency report. This report pops up as a comment within the tool you use. The analysis also includes other aspects, such as open source licenses or quality. You can customize it to meet your needs. Softagram Desktop app, which is designed for advanced software understanding as well as auditing software usage, can also be used to efficiently perform software audits.