GalataJ

GalataJ is a Java profiler designed around a three-step workflow: Profile ? Compare ? Act, entirely inside IntelliJ IDEA or VS Code.

• Profile

GalataJ attaches to a running JVM using bytecode instrumentation — no application restart required. Method execution time, call count, and memory allocation appear as inline hints directly above your methods in the editor. The overhead is approximately 3%.

Instead of navigating flame graphs, you see performance data exactly where you work: in your code.

• Compare

Profiling is useful, but a single snapshot doesn't tell you if things are getting better or worse. GalataJ lets you save profiling sessions, set performance baselines, and compare runs.

If a method took 142ms yesterday and takes 210ms today, you see that regression immediately — without interpreting flame graphs or switching tools.

• Act

Profiling data is exported as structured Markdown files inside your project directory:

• .galataj/live-performance.md — Real-time hotspots, trends, and method-level context
• .galataj/baseline-live-compare.md — Automatic regression detection against your baseline

These files are plain text, version-controllable, and readable by any tool. You can reference them in code reviews, feed them to CI pipelines, or use them as context for AI-assisted analysis.

• What It Doesn't Do

GalataJ is a developer profiler, not an APM. It doesn't do distributed tracing, production monitoring, or automatic alerting. It complements tools like Datadog and New Relic rather than replacing them.

It does one thing well: shows you which methods need attention during development, and tracks whether they're getting better or worse over time.

• Getting Started

GalataJ offers a Free tier with inline metrics, live profiling tab, and context detection for HTTP requests, database calls, and scheduled tasks. The Pro tier (€89/year) adds session comparison, baseline tracking, structured context export, and Docker support.

Available for IntelliJ IDEA (Community and Ultimate) and VS Code.