Based on our record, Valgrind seems to be a lot more popular than SpeedCurve. While we know about 37 links to Valgrind, we've tracked only 2 mentions of SpeedCurve. 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.
If you are reading this, chances are you care about performance. Also, chances are, you have played around and established some form of Lab or RUM solutions to start capturing data about your application. If you haven’t, I have just the article for you. You have run Lighthouse reports and time after time you have seen that there are a few, or sometimes lots, of improvements that could be done, but it just seems to... - Source: dev.to / about 1 month ago
Frontend performance is measured (https://speedcurve.com/ ). - Source: dev.to / almost 3 years ago
Today I will show you how to use Valgrind to easily check for memory leaks on your code inside a GitHub Action. - Source: dev.to / 21 days ago
Continuous Integration and Continuous Deployment [CI/CD] pipelines play a crucial role in enforcing code quality, especially when working with memory-unsafe languages. By integrating automated dynamic analysis tools like Valgrind or AddressSanitizer, static analysis tools like Clang Static Analyzer or cppcheck, and manual code review processes, developers can identify and mitigate many memory-related... - Source: dev.to / 2 months ago
Valgrind is an open-source tool designed to help developers identify memory management issues, memory leaks, and various other types of memory-related errors in their programs. It's commonly used for debugging and profiling purposes, particularly in C and C++ development. Here's an overview of Valgrind:. - Source: dev.to / 3 months ago
Valgrind is a tool for debugging memory errors. We have it installed on our linux machines at work. I'm not sure how difficult this is to install and setup. You can find more info here: https://valgrind.org/. Source: 6 months ago
It's often best not to think too much about "aesthetic", or performance, at first, and to focus instead on getting something that works, correctly. FWIW, The Mythical Man-Month[0] recommends to start with a few throw-away prototypes, during which you're gaining expertise over the problem, that you can later crystallize in more definite versions. Now, it doesn't mean good practices should be discarded... - Source: Hacker News / 7 months ago
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