async-profiler vs py-spy
async-profiler
github.compy-spy
github.comSide by side
| Figure | async-profiler | py-spy |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Profiling Software | 8.1 (#7) | 7.4 (#21) |
| Purpose | async-profiler is a low-overhead sampling profiler for Java that avoids the safepoint bias problem. | py-spy is a sampling profiler for Python programs that visualizes where a program spends time without restarting it or changing its code. |
| Security reporting | Security issues should be reported to AWS/Amazon Security through its vulnerability reporting page instead of a public GitHub issue. | The security policy asks users to report vulnerabilities by email and says only the most recent version receives security updates. |
Plans
In their own words
async-profiler
async-profiler is a free, self-hosted sampling profiler for Java designed to keep overhead low and avoid safepoint bias. It works with OpenJDK and other runtimes based on the HotSpot JVM, and stack traces can include non-Java threads as well as native and kernel frames. It profiles CPU time, Java-heap and native-memory allocations, memory leaks, contended locks, and hardware or software performance counters. Documented modes include CPU, allocation, wall-clock, Java-method, and multiple-events profiling. Results can be saved as collapsed stacks, flame graphs, HTML tree views, or text; an interactive Flame Graph can be viewed in a browser. Officially maintained builds are available for Linux and macOS on x64 and arm64. Developers can use the Java API as a Maven dependency, and IntelliJ IDEA includes async-profiler in its Java Profiler settings. It can profile Java processes in Docker or LXC from inside a container or from the host. Building it requires make, GCC 7.5.0 or later or Clang 7.0.0 or later, static libstdc++, and JDK 11 or later.