flux-data-qaqc

flux-data-qaqc provides a framework to create reproducible workflows for validation and analysis of eddy covariance data. The package is intended for those who need to post-process flux data, particularly for generating daily and monthly evapotranspiration (ET) timeseries estimates with energy balance closure corrections applied. Applications where this software may be useful include analysis of eddy covariance data, hydrologic or atmospheric model validation, and irrigation and water consumption studies.

Key functionalities and tools include:

data validation with methods for quality-based filtering
time series tools, e.g. gap-filling and temporal aggregation
energy balance closure algorithms and other meterological calculations
data provenance, e.g. from metadata management and file structure
downloading and management of gridMET meterological data
customizable and interactive visualizations
built-in unit conversions and batch processing tools

Documentation

ReadTheDocs

Installation

Using PIP:

pip install fluxdataqaqc

PIP should install the necessary dependencies however it is recommended to use conda and first install the provided virtual environment. This is useful to avoid changing your local Python environment. Note, flux-data-qaqc requires Python 3.9 or newer and is tested with Python 3.9, 3.11, and 3.13.

First make sure you have the fluxdataqaqc environment file, you can download it here. Next to install run,

conda env create -f environment.yml

To activate the environment before using the flux-data-qaqc package run,

conda activate fluxdataqaqc

Now install using PIP:

pip install fluxdataqaqc

Now all package modules and tools should be available in your Python environment PATH and able to be imported. Note if you did not install the Conda virtual environment above, PIP should install dependencies automatically but be sure to be using a version of Python above or equal to 3.9. To test that everything has installed correctly by opening a Python interpreter or IDE and run the following:

import fluxdataqaqc

and

from fluxdataqaqc import Data, QaQc, Plot

If everything has been installed correctly you should get no errors.

How to cite

Volk et al., (2021). flux-data-qaqc: A Python Package for Energy Balance Closure and Post-Processing of Eddy Flux Data. Journal of Open Source Software, 6(66), 3418, https://doi.org/10.21105/joss.03418

Metadata

Release files for fluxdataqaqc 0.3.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fluxdataqaqc 0.3.3
File	Size	Uploaded
fluxdataqaqc-0.3.3.tar.gz	29.4 MB	Oct 5, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for fluxdataqaqc 0.3.3
File	Interpreter	ABI	Platform	Reset
fluxdataqaqc-0.3.3-py3-none-any.whl 60.6 kB Oct 5, 2026	Python 3	none	any	Details

Total release size: 29.5 MB

Release files / fluxdataqaqc-0.3.3.tar.gz

Download URL	fluxdataqaqc-0.3.3.tar.gz
Size	29.4 MB
Tags	Source
SHA-256 checksum How to use checksums	`d6f6d9ededfb3fd2ad524874919e694c78e14bebf8ee1b9d7dc58b174b74fb8f`
BLAKE2b-256 checksum How to use checksums	`857e5402fbef0fe18ab58a6d3d1c734bc0aacbd976fcb855cc75450026081493`
Upload date	Oct 5, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.5`

Release files / fluxdataqaqc-0.3.3-py3-none-any.whl

Download URL	fluxdataqaqc-0.3.3-py3-none-any.whl
Size	60.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`af9408f289e8ac70a4881eccb43a6f5d1b44f68259405eca24bbc5d4974a96d3`
BLAKE2b-256 checksum How to use checksums	`9947fbf9b4e610ed943c51e57cd1697b03e42785d91ce58c820c86dc4a8d7687`
Upload date	Oct 5, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.5`