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Python package for performance monitoring of time series data.

Project Description


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Advances in sensor technology have rapidly increased our ability to monitor
natural and human-made physical systems.
In many cases, it is critical to process the resulting large volumes of data on a regular schedule
and alert system operators when the system has changed.
Automated quality control and performance monitoring can allow system
operators to quickly detect performance issues.

Pecos is an open source Python package designed to address this need.
Pecos includes built-in functionality to monitor performance of time series data,
subject to a series of quality control tests.
The Python package includes methods to run quality control tests defined by the user
and generate reports which include performance metrics, test results, and graphics.
The software was developed specifically for solar photovoltaic system
monitoring, but is designed to be used for a wide range of applications.

For more information, go to


Revised BSD. See the LICENSE.txt file.


* pecos - Python package
* documentation - User manual
* examples - Examples
* ci - Software requirements

* Katherine Klise, Sandia National Laboratories,
* Joshua Stein, Sandia National Laboratories,

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and
Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the
U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA-0003525.

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Filename, size & hash SHA256 hash help File type Python version Upload date
pecos-0.1.6-py3-none-any.whl (31.3 kB) Copy SHA256 hash SHA256 Wheel py3 Aug 15, 2017
pecos-0.1.6.tar.gz (25.9 kB) Copy SHA256 hash SHA256 Source None Aug 15, 2017

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