Python package for performance monitoring of time series data.
Project description
[](https://travis-ci.org/sandialabs/pecos) [](https://coveralls.io/github/sandialabs/pecos?branch=master) [](http://pecos.readthedocs.org/en/latest/)
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 it can be customized for other applications.
For more information, go to http://pecos.readthedocs.io
License
Revised BSD. See the LICENSE.txt file.
Organization
- Directories
pecos - python package
documentation - user manual
examples - examples
Contact
Katherine Klise, Sandia National Laboratories, kaklise@sandia.gov
Joshua Stein, Sandia National Laboratories, jsstein@sandia.gov
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pecos-0.1.4-py3-none-any.whl.
File metadata
- Download URL: pecos-0.1.4-py3-none-any.whl
- Upload date:
- Size: 26.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
07e864789a8f854f833911de00996cb32833a105ed46b544db09f9ca46426deb
|
|
| MD5 |
6b97f6dc98b7a49f173437908288d4f1
|
|
| BLAKE2b-256 |
8a5593dad6b733a54a5d5179eed329fe0f8d69dd822fb6ae604570ac9055bdbc
|