Uniprof FAQs

Question 1

What is Uniprof and what problem does it solve?

Accepted Answer

Uniprof is a universal CPU profiling tool designed to simplify performance analysis for developers and AI agents. It eliminates the need for code changes or added dependencies, making it easy to identify performance bottlenecks across a wide range of applications and languages.

Question 2

Which programming languages and platforms does Uniprof support?

Accepted Answer

Uniprof offers broad support, covering Python, Node.js, Ruby, PHP, JVM (Java), .NET, BEAM (Elixir, Erlang), and native applications on macOS and Linux. It automatically detects and utilizes the best profiler for your specific environment.

Question 3

Does Uniprof require complex setup or code modifications?

Accepted Answer

No, Uniprof is designed for zero-setup profiling. It can run in a containerized (Docker) mode, pre-configured with profiling tools, or use host-installed profilers. You don't need to modify your application's code or add any dependencies.

Question 4

How does Uniprof help visualize and identify performance bottlenecks?

Accepted Answer

Uniprof automatically transforms profiler output into a single format, performs statistical analysis to identify hotspots, and generates interactive flamegraphs. These visualizations allow you to easily pinpoint and understand performance bottlenecks directly in your browser.

Question 5

Can Uniprof integrate with AI agents or IDEs?

Accepted Answer

Yes, Uniprof features MCP Server integration, allowing for auto-installation and seamless use with various AI agent and IDE clients, including Claudecode, Cursor, and VSCode, to streamline your profiling workflow.

Uniprof

Uniprof

主な機能

ユースケース

主な機能

ユースケース