performancecopilot/pcp

Performance Co-Pilot

C

1,079

35,075 commits

updated Oct 9, 2026

See the code

README

Performance Co-Pilot logo

CI Coverity Scan Build Status Documentation Status CII Best Practices Code of Conduct

Mailing List Slack Team IRC #pcp Github Release GHCR

Performance Co-Pilot (PCP) provides a framework and services to support system-level performance monitoring and management. It presents a unifying abstraction for all of the performance data in a system, and many tools for interrogating, retrieving and processing that data.

PCP is a feature-rich, mature, extensible, cross-platform toolkit supporting both live and retrospective analysis. The distributed PCP architecture makes it especially useful for those seeking centralized monitoring of distributed processing.

Installation

For common Linux distributions with prebuilt Performance Co-Pilot packages you can follow the [Quick install instructions] [https://pcp.readthedocs.io/en/latest/HowTos/installation/index.html]. See the INSTALL file for build, installation and configuration steps.

Usage

The [Performance Co-Pilot Quick Guides] [https://pcp.readthedocs.io/en/latest/QG/QuickGuides.html] provide information on how to perform basic tasks with Performance Co-Pilot. Check the [Performance Co-Pilot documentation][https://pcp.io/documentation.html] for addition information about [man pages][https://man7.org/linux/man-pages/dir_by_project.html#PCP] and [guides][https://pcp.readthedocs.io/en/latest/].

Development

For more information and details on how to contribute to the PCP project visit pcp.io.

analysis
distributed
graph
lightweight
metrics
monitoring
performance
timeseries

performancecopilot/pcp

Performance Co-Pilot

C

1,079

35,075 commits

updated Oct 9, 2026

See the code

README

Performance Co-Pilot logo

CI Coverity Scan Build Status Documentation Status CII Best Practices Code of Conduct

Mailing List Slack Team IRC #pcp Github Release GHCR

Performance Co-Pilot (PCP) provides a framework and services to support system-level performance monitoring and management. It presents a unifying abstraction for all of the performance data in a system, and many tools for interrogating, retrieving and processing that data.

PCP is a feature-rich, mature, extensible, cross-platform toolkit supporting both live and retrospective analysis. The distributed PCP architecture makes it especially useful for those seeking centralized monitoring of distributed processing.

Installation

For common Linux distributions with prebuilt Performance Co-Pilot packages you can follow the [Quick install instructions] [https://pcp.readthedocs.io/en/latest/HowTos/installation/index.html]. See the INSTALL file for build, installation and configuration steps.

Usage

The [Performance Co-Pilot Quick Guides] [https://pcp.readthedocs.io/en/latest/QG/QuickGuides.html] provide information on how to perform basic tasks with Performance Co-Pilot. Check the [Performance Co-Pilot documentation][https://pcp.io/documentation.html] for addition information about [man pages][https://man7.org/linux/man-pages/dir_by_project.html#PCP] and [guides][https://pcp.readthedocs.io/en/latest/].

Development

For more information and details on how to contribute to the PCP project visit pcp.io.

analysis
distributed
graph
lightweight
metrics
monitoring
performance
timeseries

Project health

Overall

5.6/10

Maintained

10/10

Code review

1/10
OpenSSF Scorecard

Significant stargazers

Chris Rebert

2,334 followers · starred Jan 2016

siddontang

2,981 followers · starred Sep 2019

Brendan Gregg

8,935 followers · starred Sep 2015

Victor Costan

1,328 followers · starred Oct 2016