tracetools_analysis
- Software
- Middleware
- Tool
Python analysis tools for traces produced by ros2_tracing, turning LTTng trace data into pandas DataFrames and data models for ROS 2 analysis.
Made by ros-tracing.
Source on GitHub: github.com/ros-tracing/tracetools_analysis (opens in a new tab). Facts read at commit caa8c05 (opens in a new tab).
Licenses
- Code
- Apache-2.0 (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (Apache-2.0) at commit caa8c05 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Provides a ros2 trace-analysis command that processes a trace directory into lightly processed pandas DataFrames for quick inspection.
- Converts slow-to-read CTF traces into a single faster-to-load file that can be reused across many analyses.
- Offers a Python API with handlers and data model utilities to extract callback durations and CPU time per thread.
- Is intended for interactive analysis in Jupyter Notebooks, with example notebooks provided in the analysis directory.
- Includes a ros2cli extension package and a tracetools_analysis package with analysis tools and API documentation.
- Requires choosing the branch that matches the ROS 2 distribution in use.
Written by Robotheca from the project's README (opens in a new tab) at commit caa8c05.
Getting started
- Difficulty
- Advanced
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 14 Nov 2025 on rolling
- Latest release
- None published on GitHub
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.