pyTimechart is aimed at helping kernel developer to browse into large scale traces.
Based on very powerful and efficient plotting library Chaco, pytimechart UI feels very smooth.
Based on the python language, its plugin based architecture allow developer to very quickly implement parsing and representation of new trace-event function-trace or trace_printk
Kernel traces are parsed as trace-events, and organised into processes, each process is displayed in its own line. The x-axis representing the time, process is represented as intervals when it is scheduled in the system.
pyTimechart processes are not only process in the common unix sense, it can be any group of activities in the system. Thus pytimechart display activities of:
cpuidle states
cpufreq states
runtime_pm
irqs
tasklets
works
timers
kernel threads
user process
whatever there is a plugin for
pyTimechart also represent graphically the wakeup events between two process.
Metadata
Release files for pytimechart 0.9.3
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Source distributions (sdists)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pytimechart-0.9.3.zip | 75.2 kB | Without provenance | Details for pytimechart-0.9.3.zip | |
| pytimechart-0.9.3.tar.gz | 59.5 kB | Without provenance | Details for pytimechart-0.9.3.tar.gz |
Release files / pytimechart-0.9.3.zip
| Download URL | pytimechart-0.9.3.zip |
|---|---|
| Size | 75.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
856f4e5014a44eac5f13aeb07a461576abfb9676f18683caedb7360bdbd7df9c
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No |
Release files / pytimechart-0.9.3.tar.gz
| Download URL | pytimechart-0.9.3.tar.gz |
|---|---|
| Size | 59.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
11ddbc8d0c0db048bd0af0f27b1d13c9fca2e2a7e6b96824f7adcd55cc938e7b
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BLAKE2b-256 checksum How to use checksums |
f855f1c001546be61955a9e0df7ad01f2e8bbf8db1a8d7d9dfafdece9823e942
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for pytimechart 0.9.3
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