JProfiler (with AI)
Pricing Details
Various license types available (e.g., Single License, Floating License). Pricing is a one-time fee per license, with options for support and maintenance.Features
- CPU profiling with call tree and hot spots analysis.- Memory profiling with heap walker and memory leak detection.
- Thread profiling with analysis of thread activity, states, and deadlocks.
- Database profiling (JDBC, JPA) to identify slow queries.
- HTTP and other probe-based profiling.
- Live profiling and snapshot analysis.
- Numerous views and inspections for deep data analysis.
- Integrations with major IDEs and application servers.
- Supports profiling of local and remote JVMs.
Integrations
IDEs (IntelliJ IDEA, Eclipse, NetBeans, VS Code), Application Servers (Tomcat, WildFly, etc.), Build Tools (Maven, Gradle).Preview
JProfiler is a high-performance profiler for Java, developed by ej-technologies, which provides developers with deep tools for analyzing and optimizing the performance of Java applications. It allows identifying and eliminating critical issues such as CPU hot spots, memory leaks, and inefficient thread management. JProfiler offers an intuitive graphical user interface with diverse data views, including CPU usage graphs, heap memory allocation, thread activity, as well as analysis of locks and thread states.
The tool supports profiling of both local and remote Java processes running in various environments and on different platforms. One of JProfiler’s strengths is its integration with popular Integrated Development Environments (IDEs) such as IntelliJ IDEA, Eclipse, NetBeans, and VS Code, allowing profiling sessions to be launched directly from the familiar development environment. Integrations with application servers and build tools like Maven and Gradle are also available, simplifying the inclusion of profiling in automated testing and continuous integration processes.
While JProfiler itself does not contain built-in Artificial Intelligence features, it is an indispensable tool in the development and optimization of Java applications that heavily use machine learning and AI libraries. Analyzing the performance of such applications with JProfiler helps identify bottlenecks in the code related to processing large datasets, executing complex machine learning algorithms, or interacting with external AI services. Thus, JProfiler helps ensure that even the most performance-intensive Java applications with AI functionality run efficiently and stably. The platform supports a wide range of operating systems, making it accessible to most Java developers.