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stackprof VS Kcachegrind

Compare stackprof VS Kcachegrind and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. sponsored
Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

stackprof logo stackprof

stackprof is a a sampling call-stack profiler for ruby 2.1+

Kcachegrind logo Kcachegrind

Callgrind is a profiling tool and KCachegrind is able to visualize output of the profilers.
  • stackprof Landing page
    Landing page //
    2023-10-22
  • Kcachegrind Landing page
    Landing page //
    2022-03-15

stackprof features and specs

No features have been listed yet.

Kcachegrind features and specs

  • Comprehensive Visualization
    KCachegrind provides detailed graphical representations of profiling data, helping users to visualize where time is being spent in their applications.
  • Customizable Views
    Users can customize various views to focus on different aspects of the profiling data, making it easier to identify performance bottlenecks.
  • Call Graph Analysis
    It offers sophisticated call graph analysis, which allows users to see function call hierarchies and understand the call relationships in their applications.
  • Integration with Valgrind
    KCachegrind integrates well with Valgrind, which is a powerful tool for memory debugging and profiling on Linux systems.
  • Cross-platform Support
    Though primarily developed for Unix-like systems, it is also available on Windows, increasing its usability across different platforms.

Possible disadvantages of Kcachegrind

  • Complexity
    The tool can be complex to use for beginners, with a steep learning curve due to its wide array of features and visualization options.
  • Limited Non-Linux Support
    While available on other systems, the best integration and performance are on Linux, making it less suitable for non-Linux users.
  • Resource Intensive
    KCachegrind can be resource-intensive, potentially leading to performance issues when analyzing very large datasets or long profiling sessions.
  • Limited Real-time Profiling
    It primarily works with data collected from previous runs rather than real-time profiling, which might not suit all types of application analysis needs.

Analysis of stackprof

Overall verdict

  • StackProf is a well-regarded, sampling-based profiler for Ruby that provides low-overhead, actionable insights into CPU, wall-clock, object allocation, and memory usage, making it a reliable choice for performance analysis in production and development.

Why this product is good

  • Low-overhead sampling profiler that is safe to run in many scenarios, including production, without significantly impacting performance
  • Supports multiple profiling modes including CPU time, wall-clock time, and object allocation, giving flexibility for different diagnostic needs
  • Produces detailed reports with call graphs and flamegraph output that make it easy to identify hotspots and bottlenecks
  • Well-maintained, widely adopted in the Ruby community, and integrates cleanly with tools like rack-mini-profiler and speedscope
  • Simple API that lets you profile specific code blocks or entire applications with minimal setup

Recommended for

  • Ruby developers needing to diagnose CPU or performance bottlenecks in their applications
  • Teams optimizing Rails applications for latency and throughput
  • Engineers profiling memory allocation and garbage collection pressure
  • Developers who want to generate flamegraphs for visual performance analysis
  • Anyone needing a lightweight profiler suitable for production sampling

Category Popularity

0-100% (relative to stackprof and Kcachegrind)

stackprof

Kcachegrind

Software Development
43 43%
Software Development
57% 57
Resource Profiling And Monitoring
43 43%
Resource Profiling And Monitoring
57% 57
IDE
46 46%
IDE
54% 54
Memory Monitoring
50 50%
Memory Monitoring
50% 50

User comments

Share your experience with using stackprof and Kcachegrind. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, stackprof seems to be more popular. It has been mentiond 3 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.

stackprof mentions (3)

  • A Trick For Reading Flamegraphs
    Stackprof can be used alone/by itself to generate flamegraphs for arbitrary Ruby code. - Source: dev.to / almost 4 years ago
  • Why do my requests take so much time to complete when View and ActiveRecord are finishing fast?
    I’d use something like stackprof ( https://github.com/tmm1/stackprof ) to see where the time is going. If you already have suspicions you can use it to get information about a specific method / few lines of Ruby but there’s also a rack middleware. Source: about 4 years ago
  • Optimizing your tests in 5 steps
    Other profilers, such as stackprof, trace everything that’s happening by line. These types of profilers usually need some instrumentation to be configured, as shown below:. - Source: dev.to / over 4 years ago

Kcachegrind mentions (0)

We have not tracked any mentions of Kcachegrind yet. Tracking of Kcachegrind recommendations started around Mar 2021.

What are some alternatives?

When comparing stackprof and Kcachegrind, you can also consider the following products

dotMemory - dotMemory allows users to analyze memory usage in a variety of .NET and .NET Core applications.

Valgrind - Valgrind is an instrumentation framework for building dynamic analysis tools.

Robot Console - Robot Console is a Message and Event Monitoring Software for IBM i thathas automatic message management, resource monitoring, and log monitoring.

Webgrind - Webgrind is an Xdebug profiling web frontend in PHP5.

Munin - PnP networked resource monitoring tool that can help to answer the what just happened to kill our performance

Yourkit - Java and .NET profilers. Continuous performance monitoring.

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