Semgrep VS Codecov
Compare Semgrep VS Codecov and see what are their differences
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Semgrep
SonarQube
Snyk
Cppcheck
Codacy
Coverity Scan
Checkmarx
Shellcheck
Codecov
SonarQube
CodeClimate
Codacy
Coveralls
ESLint
SensioLabs Insight
CodeFactor.io
Semgrep CodecovBased on our record, Codecov should be more popular than Semgrep. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> Not sure I understand your point. The problem is using Treesitter (for syntax highlighting and "semantic movements") and an LSP at the same time. So if your language has a LSP, using Treesitter additionally is redundant at best and introduces inconcistency at worst. I'm not talking about using Treesitter as the parser for the LSP. > Most popular languages have language-specific tools I'd say even less popular... - Source: Hacker News / 3 months ago
This project is a compilation of Semgrep rules derived from the OWASP Mobile Application Security Testing Guide (MASTG) specifically for Android applications. The aim is to enhance and support Mobile Application Penetration Testing (MAPT) activities conducted by the ethical hacker community. The primary objective of these rules is to address the static tests outlined in the OWASP MASTG. Source: 11 months ago
For generally code analysis, I used Semgrep in the past. Source: over 1 year ago
You can try with Semgrep. For scanning shared drive you need to have the access though. Source: over 1 year ago
For these cases, let me introduce you to my favorite static code analysis tool: semgrep. It's a free Open Source tool that you can install and use right now (it only starts costing money if you want to use their dashboard to view the results, which is entirely optional, and all code scanning runs on your device - code is never uploaded to any servers). As stated briefly, semgrep searches for code matching specific... - Source: dev.to / over 1 year ago
If you're actively testing your codebase, which I hope you are, consider integrating a code coverage automatic checker such as codecov. This tool can alert if the coverage drops below a threshold. While I've had positive experiences with such tools, it's worth mentioning that the adoption process may pose some challenges. - Source: dev.to / 19 days ago
The code coverage is printed out in the Coverage Report step but it is useful to track code coverage over time and have a repository badge which shows the current coverage percentage. There are many different code coverage and testing applications but we will use CodeCov. - Source: dev.to / 7 months ago
Usually, you can't build a product without using various tools. Some of them can be free, and some of them can be commercial. The great benefit of working on Open Source projects is that a lot of companies with commercial products have special offers for non-commercial development. In the case of the "xq" utility, which is written in Go, I use GoLand IDE by JetBrains. I paid for it for several months but later... - Source: dev.to / 10 months ago
This YAML file details the CI implementation, including combined code coverage with CodeCov. For a simpler example without Cypress parallelization and code coverage, check the Github Actions YAML file of this template. The ideas presented here can be applied to any front-end application. - Source: dev.to / 12 months ago
High unit-test coverage, and automated coverage reports on your repo by something like Codecov. Source: about 1 year ago
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
Cppcheck - Cppcheck is an analysis tool for C/C++ code. It detects the types of bugs that the compilers normally fail to detect. The goal is no false positives. CppCheckDownload cppcheck for free.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Coveralls - Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.