lttng-analyses | Analyses scripts for LTTng kernel

by lttng Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | lttng-analyses Summary

lttng-analyses is a Python library. lttng-analyses has no bugs, it has no vulnerabilities, it has build file available and it has low support. However lttng-analyses has a Non-SPDX License. You can install using 'pip install lttng-analyses' or download it from GitHub, PyPI.

Analyses scripts for LTTng kernel and user-space traces (official repository)

Support

Quality

Security

License

Reuse

Support

lttng-analyses has a low active ecosystem.

It has 91 star(s) with 27 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 10 have been closed. On average issues are closed in 15 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of lttng-analyses is current.

Quality

lttng-analyses has 0 bugs and 0 code smells.

Security

lttng-analyses has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

lttng-analyses code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lttng-analyses has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

lttng-analyses releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 12777 lines of code, 1154 functions and 64 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed lttng-analyses and discovered the below as its top functions. This is intended to give you an instant insight into lttng-analyses implemented functionality, and help decide if they suit your requirements.

Return a dict of the command class to use
Create a ConfigParser from a root directory
Extract version information from VCS
Get field with given field name
Get the value of field_name
Loop over the analysis
Return the result tables associated with the given table
Appends the result tables to the result tables
Appends result table to result table
Parse size string
Print the aggregated period events
Parse a trace collection time range
Process an LTT event
Appends a single soft stats table row
Handle a wakeup event
Process ached switch event
Processes a given scheduler
Process a block request
Format a list of priors
Processes a scheduler switch
Parse duration string
Called when an IORQ is received
Parse command line arguments
Run the analysis loop
Create the versioneer config file
Perform analysis loop
Return the version information

Get all kandi verified functions for this library.

lttng-analyses Key Features

No Key Features are available at this moment for lttng-analyses.

lttng-analyses Examples and Code Snippets

No Code Snippets are available at this moment for lttng-analyses.

Community Discussions

No Community Discussions are available at this moment for lttng-analyses.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install lttng-analyses

You can install using 'pip install lttng-analyses' or download it from GitHub, PyPI.
You can use lttng-analyses like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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