pvanalytics

Quality control, filtering, feature labeling, and other tools for working with data from photovoltaic energy systems.
https://github.com/pvlib/pvanalytics

Category: Renewable Energy
Sub Category: Photovoltaics and Solar Energy

Keywords

photovoltaic python renewable-energy renewables solar-energy

Keywords from Contributors

photovoltaics solar bifacial convolutional-neural-networks photovoltaic-panels scr-2609 snl-data-analysis snl-visualization radiance pvlib

Last synced: about 16 hours ago
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Repository metadata

Quality control, filtering, feature labeling, and other tools for working with data from photovoltaic energy systems.

Host: GitHub
URL: https://github.com/pvlib/pvanalytics
Owner: pvlib
License: mit
Created: 2020-02-18T17:10:34.000Z (about 5 years ago)
Default Branch: main
Last Pushed: 2025-04-23T18:52:59.000Z (4 days ago)
Last Synced: 2025-04-25T14:07:17.482Z (1 day ago)
Topics: photovoltaic, python, renewable-energy, renewables, solar-energy
Language: Python
Homepage: https://pvanalytics.readthedocs.io
Size: 4.17 MB
Stars: 107
Watchers: 10
Forks: 34
Open Issues: 33
Releases: 7
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

PVAnalytics

PVAnalytics is a python library that supports analytics for PV
systems. It provides functions for quality control, filtering, and
feature labeling and other tools supporting the analysis of PV
system-level data.

PVAnalytics is available at PyPI
and can be installed using pip:

pip install pvanalytics

Documentation and example usage is available at
pvanalytics.readthedocs.io.

Library Overview

The functions provided by PVAnalytics are organized in modules based
on their anticipated use. The structure/organization below is likely
to change as use cases are identified and refined and as package
content evolves. The functions in quality and
features take a series of data and return a series of booleans.
For more detailed descriptions, see our
API Reference.

quality contains submodules for different kinds of data quality
checks.
- data_shifts contains quality checks for detecting and
  isolating data shifts in PV time series data.
- irradiance provides quality checks for irradiance
  measurements.
- weather has quality checks for weather data (for example tests
  for physically plausible values of temperature, wind speed,
  humidity, etc.)
- outliers contains different functions for identifying outliers
  in the data.
- gaps contains functions for identifying gaps in the data
  (i.e. missing values, stuck values, and interpolation).
- time quality checks related to time (e.g. timestamp spacing)
- util general purpose quality functions.
features contains submodules with different methods for
identifying and labeling salient features.
- clipping functions for labeling inverter clipping.
- clearsky functions for identifying periods of clear sky
  conditions.
- daytime functions for for identifying periods of day and night.
- orientation functions for labeling data as corresponding to
  a rotating solar tracker or a fixed tilt structure.
- shading functions for identifying shadows.
system identification of PV system characteristics from data
(e.g. nameplate power, orientation, azimuth)
metrics contains functions for computing PV system-level metrics

Owner metadata

Name: pvlib
Login: pvlib
Email:
Kind: organization
Description:
Website:
Location:
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/11037261?v=4
Repositories: 7
Last ynced at: 2024-03-25T20:48:50.039Z
Profile URL: https://github.com/pvlib

GitHub Events

Total

Create event: 2
Release event: 2
Issues event: 3
Watch event: 11
Issue comment event: 22
Push event: 8
Pull request review event: 24
Pull request review comment event: 28
Pull request event: 17
Fork event: 4

Last Year

Create event: 2
Release event: 2
Issues event: 3
Watch event: 11
Issue comment event: 22
Push event: 8
Pull request review event: 24
Pull request review comment event: 28
Pull request event: 17
Fork event: 4

Committers metadata

Last synced: 7 days ago

Total Commits: 312
Total Committers: 12
Avg Commits per committer: 26.0
Development Distribution Score (DDS): 0.612

Commits in past year: 17
Committers in past year: 5
Avg Commits per committer in past year: 3.4
Development Distribution Score (DDS) in past year: 0.353

Name	Email	Commits
Will Vining	w**g@g**m	121
Perry	k**y@n**v	102
Kirsten Perry	7****l	34
Kevin Anderson	k**n@n**v	33
Kevin Anderson	5****l	7
Cliff Hansen	c**e@s**v	7
Adam R. Jensen	3****n	3
Saurabh Aneja	6****A	1
Quyen Nguyen	1****5	1
Michael Hopwood	m**d@k**u	1
Chris Deline	c**e@n**v	1
Perry	k****y	1

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 84
Total pull requests: 141
Average time to close issues: 3 months
Average time to close pull requests: about 1 month
Total issue authors: 16
Total pull request authors: 10
Average comments per issue: 3.2
Average comments per pull request: 2.29
Merged pull request: 127
Bot issues: 0
Bot pull requests: 0

Past year issues: 2
Past year pull requests: 12
Past year average time to close issues: N/A
Past year average time to close pull requests: 9 days
Past year issue authors: 2
Past year pull request authors: 3
Past year average comments per issue: 0.0
Past year average comments per pull request: 1.83
Past year merged pull request: 10
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/pvlib/pvanalytics

Top Issue Authors

wfvining (28)
cwhanse (13)
kperrynrel (11)
kandersolar (11)
AdamRJensen (7)
wholmgren (3)
bt- (2)
csptvlt (1)
abhisheksparikh (1)
eccoope (1)
rjstephens (1)
toddkarin (1)
camsilva (1)
jranalli (1)
matsuobasho (1)

Top Pull Request Authors

wfvining (63)
kandersolar (37)
kperrynrel (24)
AdamRJensen (6)
cwhanse (5)
qnguyen345 (2)
abhisheksparikh (1)
MichaelHopwood (1)
cdeline (1)
spaneja (1)

Top Issue Labels

enhancement (14)
documentation (7)
bug (5)
dependency (3)
tests (3)
question (3)
ci (2)

Top Pull Request Labels

documentation (22)
enhancement (15)
dependency (13)
tests (9)
release (8)
ci (8)
bug (6)
feature (1)

Package metadata

Total packages: 1
Total downloads:
- pypi: 3,361 last-month
Total dependent packages: 1
Total dependent repositories: 3
Total versions: 8
Total maintainers: 1

pypi.org: pvanalytics

PVAnalytics is a python library for the analysis of photovoltaic system-level data.

Homepage: https://github.com/pvlib/pvanalytics
Documentation: https://pvanalytics.readthedocs.io/
Licenses: MIT
Latest release: 0.2.2 (published 5 months ago)
Last Synced: 2025-04-25T14:01:43.740Z (1 day ago)
Versions: 8
Dependent Packages: 1
Dependent Repositories: 3
Downloads: 3,361 Last month
Rankings:
- Dependent packages count: 3.244%
- Average: 7.114%
- Downloads: 7.408%
- Forks count: 7.814%
- Stargazers count: 7.963%
- Dependent repos count: 9.143%
Maintainers (1)
- wfvining-snl

Dependencies

.github/workflows/lint-and-test.yml actions

actions/checkout v2 composite
actions/setup-python v1 composite

.github/workflows/pythonpublish.yml actions

actions/checkout v2 composite
actions/setup-python v1 composite

requirements-min.txt pypi

numpy *
pandas *
pvlib *
scikit-image *
scipy *
statsmodels *

Score: 15.548029447148055

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