pastas

Pastas is an open-source Python framework for the analysis of groundwater time series.

https://github.com/pastas/pastas

Science Score: 77.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 7 DOI reference(s) in README
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Academic publication links
Links to: wiley.com, zenodo.org
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Committers with academic emails
1 of 24 committers (4.2%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (15.2%) to scientific vocabulary

Keywords

analysis groundwater hydrology pastas python timeseries

Keywords from Contributors

hydrological-modelling water geoscience mesh vtk

Last synced: 6 months ago · JSON representation ·

Repository

Pastas is an open-source Python framework for the analysis of groundwater time series.

Basic Info

Host: GitHub
Owner: pastas
License: mit
Language: Python
Default Branch: dev
Homepage: https://pastas.readthedocs.io
Size: 153 MB

Statistics

Stars: 398
Watchers: 15
Forks: 95
Open Issues: 50
Releases: 41

Topics

analysis groundwater hydrology pastas python timeseries

Created almost 10 years ago · Last pushed 6 months ago

Metadata Files

Readme Contributing License Code of conduct Citation Zenodo

Pastas: Analysis of Groundwater Time Series

[!IMPORTANT] As of Pastas 1.5, noisemodels are not added to the Pastas models by default anymore. Read more about this change here.

Pastas: what is it?

Pastas is an open source python package for processing, simulating and analyzing groundwater time series. The object oriented structure allows for the quick implementation of new model components. Time series models can be created, calibrated, and analysed with just a few lines of python code with the built-in optimization, visualisation, and statistical analysis tools.

Documentation & Examples

Documentation is provided on the dedicated website pastas.dev
Examples can be found on the examples directory on the documentation website
A list of publications that use Pastas is available in a dedicated Zotero group
View and edit the example notebooks of Pastas in GitHub Codespaces)

Get in Touch

Questions on Pastas can be asked and answered on Github Discussions.
Bugs, feature requests and other improvements can be posted as Github Issues.
Pull requests will only be accepted on the development branch (dev) of this repository. Please take a look at the developers section on the documentation website for more information on how to contribute to Pastas.

Quick installation guide

To install Pastas, a working version of Python 3.9, 3.10, 3.11, or 3.12 has to be installed on your computer. We recommend using the Anaconda Distribution as it includes most of the python package dependencies and the Jupyter Notebook software to run the notebooks. However, you are free to install any Python distribution you want.

Stable version

To get the latest stable version, use:

pip install pastas

Update

To update pastas, use:

pip install pastas --upgrade

Developers

To get the latest development version, use:

pip install git+https://github.com/pastas/pastas.git@dev#egg=pastas

Related packages

Pastastore is a Python package for managing multiple timeseries and pastas models
Metran is a Python package to perform multivariate timeseries analysis using a technique called dynamic factor modelling.
Hydropandas can be used to obtain Dutch timeseries (KNMI, Dinoloket, ..)
PyEt can be used to compute potential evaporation from meteorological variables.

Dependencies

Pastas depends on a number of Python packages, of which all of the necessary are automatically installed when using the pip install manager. To summarize, the dependencies necessary for a minimal function installation of Pastas

numpy>=1.7
matplotlib>=3.1
pandas>=1.1
scipy>=1.8
numba>=0.51

To install the most important optional dependencies (solver LmFit and function visualisation Latexify) at the same time with Pastas use:

pip install pastas[full]

or for the development version use:

pip install git+https://github.com/pastas/pastas.git@dev#egg=pastas[full]

How to Cite Pastas?

If you use Pastas in one of your studies, please cite the Pastas article in Groundwater:

Collenteur, R.A., Bakker, M., Caljé, R., Klop, S.A., Schaars, F. (2019) Pastas: open source software for the analysis of groundwater time series. Groundwater. doi: 10.1111/gwat.12925.

To cite a specific version of Pastas, you can use the DOI provided for each official release (>0.9.7) through Zenodo. Click on the link to get a specific version and DOI, depending on the Pastas version.

Collenteur, R., Bakker, M., Caljé, R. & Schaars, F. (XXXX). Pastas: open-source software for time series analysis in hydrology (Version X.X.X). Zenodo. http://doi.org/10.5281/zenodo.1465866

Owner

Name: Pastas
Login: pastas
Kind: organization

Website: https://pastas.readthedocs.io/en/latest/
Repositories: 4
Profile: https://github.com/pastas

This organization holds the open source python package Pastas

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: "Collenteur"
    given-names: "R.A."
  - family-names: "Bakker"
    given-names: "M"
  - family-names: "Caljé"
    given-names: "R"
  - family-names: "Schaars"
    given-names: "F"
title: "Pastas: open-source software for the analysis of hydrogeological time series"
version: 0.22.0
doi: 10.5281/zenodo.1465866
date-released: 2022-08-02
url: "https://github.com/pastas/pastas"
preferred-citation:
  type: article
  authors:
    - family-names: "Collenteur"
      given-names: "R.A."
      orcid: "https://orcid.org/0000-0001-7843-1538"
    - family-names: "Caljé"
      given-names: "R"
    - family-names: "Klop"
      given-names: "S.A."
    - family-names: "Schaars"
      given-names: "F"
    - family-names: "Bakker"
      given-names: "M"
      orcid: "https://orcid.org/0000-0002-5629-2861"
  doi: "10.1111/gwat.12925"
  journal: "Groundwater"
  month: 7
  title: "Pastas: open source software for the analysis of groundwater time series"
  volume: 57
  year: 2019

GitHub Events

Total

Create event: 47
Release event: 3
Issues event: 108
Watch event: 29
Delete event: 32
Issue comment event: 299
Push event: 288
Pull request review event: 143
Pull request review comment event: 74
Pull request event: 117
Fork event: 21

Last Year

Create event: 47
Release event: 3
Issues event: 108
Watch event: 29
Delete event: 32
Issue comment event: 299
Push event: 288
Pull request review event: 143
Pull request review comment event: 74
Pull request event: 117
Fork event: 21

Committers

Last synced: 7 months ago

All Time

Total Commits: 2,419
Total Committers: 24
Avg Commits per committer: 100.792
Development Distribution Score (DDS): 0.489

Past Year

Commits: 209
Committers: 15
Avg Commits per committer: 13.933
Development Distribution Score (DDS): 0.526

Top Committers

Name	Email	Commits
Raoul Collenteur	r**r@g**m	1,235
Ruben Caljé	r**e@a**l	410
dbrakenhoff	d**f@a**l	350
Martin Vonk	v**t@g**m	200
Mark Bakker	m**k@g**m	134
OnnoEbbens	o**s@g**m	21
wjz	w**k@t**l	15
gwtsa	m**r@t**l	9
tomvansteijn	t**n@r**m	9
saklop	4****p	7
Steijn van	s**1@b**l	6
martclanor	m**r@w**m	6
Mike Taves	m**s@g**m	4
Aviad	a**7@g**m	2
Willem Zaadnoordijk	w**m@y**k	2
Aviad Avraham	a**m@m**m	1
AnneDeGraaf	2****f	1
Bas des Tombe	b**e@g**m	1
DC Slagel	d**s@m**g	1
Eit Van der Meulen	a**o@a**m	1
Govert Alkemade	3****e	1
Nicole	1****m	1
The Codacy Badger	b**r@c**m	1
pgraafstra	4****a	1

Committer Domains (Top 20 + Academic)

artesia-water.nl: 2 codacy.com: 1 amo-nl.com: 1 mailworks.org: 1 munisense.com: 1 yahoo.co.uk: 1 witteveenbos.com: 1 rhdhv.com: 1 tudelft.nl: 1 tno.nl: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 437
Total pull requests: 510
Average time to close issues: 4 months
Average time to close pull requests: 12 days
Total issue authors: 33
Total pull request authors: 28
Average comments per issue: 2.46
Average comments per pull request: 2.35
Merged pull requests: 432
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 78
Pull requests: 123
Average time to close issues: 25 days
Average time to close pull requests: 8 days
Issue authors: 18
Pull request authors: 16
Average comments per issue: 0.92
Average comments per pull request: 2.78
Merged pull requests: 95
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

raoulcollenteur (174)
dbrakenhoff (65)
mbakker7 (60)
martinvonk (55)
rubencalje (21)
tomvansteijn (11)
OnnoEbbens (11)
HenrikSpa (5)
tdmeij (4)
wjzRdam (3)
AviadAvr (3)
quanerpython (2)
bdestombe (2)
AnneDeGraaf (2)
FransSchaars (1)

Pull Request Authors

raoulcollenteur (191)
martinvonk (113)
dbrakenhoff (95)
rubencalje (28)
OnnoEbbens (27)
tomvansteijn (8)
mbakker7 (8)
wjzRdam (4)
Camu-git (4)
mwtoews (4)
AviadAvr (3)
martclanor (2)
janjaappape (2)
AnneDeGraaf (2)
pastas (2)

Top Labels

Issue Labels

enhancement (160) bug (125) development (55) documentation (33) priority 1 (29) priority 2 (19) wontfix (11) question (10) deprecation (10) code quality (9) good-first-issue (9) priority 0 (8) help wanted (7) NWO (5)

Pull Request Labels

enhancement (109) bug (61) documentation (50) code quality (43) development (43) deprecation (15) priority 0 (5) help wanted (1) good-first-issue (1) priority 1 (1)

Packages

Total packages: 3
Total downloads:
- pypi 2,896 last-month

Total dependent packages: 4
(may contain duplicates)
Total dependent repositories: 4
(may contain duplicates)
Total versions: 94
Total maintainers: 1

pypi.org: pastas

Pastas is an open-source Python framework for the analysis of groundwater time series.

Documentation: https://pastas.readthedocs.io/
License: The MIT License (MIT) Copyright (c) 2016-2024 R.A. Collenteur, M. Bakker, R. Calje, F. Schaars Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Latest release: 1.10.1
published 6 months ago

Versions: 43
Dependent Packages: 4
Dependent Repositories: 4
Downloads: 2,896 Last month

Rankings

Dependent packages count: 2.4%

Average: 6.6%

Dependent repos count: 7.5%

Downloads: 10.0%

Maintainers (1)

raoul

Last synced: 6 months ago

proxy.golang.org: github.com/pastas/pastas

Documentation: https://pkg.go.dev/github.com/pastas/pastas#section-documentation
License: mit
Latest release: v1.10.1
published 6 months ago

Versions: 39
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 6.5%

Average: 6.7%

Dependent repos count: 7.0%

Last synced: 6 months ago

conda-forge.org: pastas

Homepage: https://github.com/pastas/pastas
License: MIT
Latest release: 0.21.0
published over 3 years ago

Versions: 12
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Stargazers count: 21.0%

Forks count: 22.4%

Average: 32.1%

Dependent repos count: 34.0%

Dependent packages count: 51.2%

Last synced: 6 months ago

Dependencies

.github/workflows/ci.yml actions

actions/checkout v3 composite
actions/download-artifact v3 composite
actions/setup-python v4 composite
actions/upload-artifact v3 composite
codacy/codacy-coverage-reporter-action master composite

.github/workflows/python-publish.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite

pyproject.toml pypi

matplotlib >= 3.1
numba >= 0.51
numpy >= 1.17, < 1.24
pandas >= 1.1
scipy >= 1.8

pastas

Science Score: 77.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

Pastas: Analysis of Groundwater Time Series

Pastas: what is it?

Documentation & Examples

Get in Touch

Quick installation guide

Stable version

Update

Developers

Related packages

Dependencies

How to Cite Pastas?

Owner

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: pastas

Rankings

Maintainers (1)

proxy.golang.org: github.com/pastas/pastas

Rankings

conda-forge.org: pastas

Rankings

Dependencies