async-profiler vs Polar Signals Cloud
async-profiler
github.comPolar Signals Cloud
polarsignals.comSide by side
| Figure | async-profiler | Polar Signals Cloud |
|---|---|---|
| Price from | Free | $50/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 3 |
| Spec score · Profiling Software | 8.1 (#7) | 7.9 (#10) |
| IDE integration | IntelliJ IDEA bundles async-profiler and exposes it through the Java Profiler settings. | The Polar Signals Profiler extension displays profiling metrics as inline source-code annotations in VS Code and compatible editors including Cursor, Windsurf, and Antigravity. |
Plans
Polar Signals Cloud
- Free trialFree
- Pro$50 a month
- EnterprisePriced on request
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.
Polar Signals Cloud
Polar Signals Cloud has no write-up on Specifiction yet; its figures are above.