powerplantmatching

A toolset for cleaning, standardizing and combining multiple power plant databases.
https://github.com/PyPSA/powerplantmatching

Category: Energy Systems
Sub Category: Energy Data Accessibility and Integration

Keywords from Contributors

energy-system-model energy-system power-systems pypsa capacity-expansion-planning energy-data energy-model heat-pump renewable-energy transmission-network

Last synced: about 10 hours ago
JSON representation

Repository metadata

Set of tools to combine multiple power plant databases

Host: GitHub
URL: https://github.com/PyPSA/powerplantmatching
Owner: PyPSA
Created: 2016-08-15T16:36:25.000Z (almost 10 years ago)
Default Branch: master
Last Pushed: 2026-08-12T09:46:13.000Z (1 day ago)
Last Synced: 2026-08-12T14:24:22.379Z (1 day ago)
Language: Python
Homepage: https://powerplantmatching.readthedocs.io
Size: 75.2 MB
Stars: 227
Watchers: 21
Forks: 74
Open Issues: 35
Releases: 32
Metadata Files:
- Readme: README.md
- License: LICENSES/Apache-2.0.txt
- Citation: CITATION.cff
- Support: docs/support.md

powerplantmatching

pythonversion

A toolset for cleaning, standardizing and combining multiple power
plant databases.

This package provides ready-to-use power plant data for the European power system.
Starting from openly available power plant datasets, the package cleans, standardizes
and merges the input data to create a new combined dataset, which includes all the important information.
The package allows to easily update the combined data as soon as new input datasets are released.

You can directly download the current version of the data as a CSV file.

Initially, powerplantmatching was developed by the
Renewable Energy Group
at FIAS and is now maintained by the Digital Transformation in Energy Systems Group at the Technical University of Berlin to build power plant data
inputs to PyPSA-based models for carrying
out simulations.

Main Features

clean and standardize power plant data sets
aggregate power plant units which belong to the same plant
compare and combine different data sets
create lookups and give statistical insight to power plant goodness
provide cleaned data from different sources
choose between gross/net capacity
provide an already merged data set of multiple different open data sources
scale the power plant capacities in order to match country-specific statistics about total power plant capacities
visualize the data
export your powerplant data to a PyPSA-based model

Map

Installation

Using pip

pip install powerplantmatching

or conda

conda install -c conda-forge powerplantmatching

Contributing and Support

We strongly welcome anyone interested in contributing to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on GitHub.

In case of code-related questions, please post on stack overflow.
For non-programming related and more general questions please refer to the PyPSA mailing list.
To discuss with other PyPSA & technology-data users, organise projects, share news, and get in touch with the community you can use the discord server.
For bugs and feature requests, please use the powerplantmatching Github Issues page.

Citing powerplantmatching

If you want to cite powerplantmatching, use the following paper

F. Gotzens, H. Heinrichs, J. Hörsch, and F. Hofmann, Performing energy modelling exercises in a transparent way - The issue of data quality in power plant databases, Energy Strategy Reviews, vol. 23, pp. 1–12, Jan. 2019.

with bibtex

@article{gotzens_performing_2019,
 title = {Performing energy modelling exercises in a transparent way - {The} issue of data quality in power plant databases},
 volume = {23},
 issn = {2211467X},
 url = {https://linkinghub.elsevier.com/retrieve/pii/S2211467X18301056},
 doi = {10.1016/j.esr.2018.11.004},
 language = {en},
 urldate = {2018-12-03},
 journal = {Energy Strategy Reviews},
 author = {Gotzens, Fabian and Heinrichs, Heidi and Hörsch, Jonas and Hofmann, Fabian},
 month = jan,
 year = {2019},
 pages = {1--12}
}

and/or the current release stored on Zenodo with a release-specific DOI:

Licence

powerplantmatching is released as free software under the MIT license.
The default output data powerplants.csv generated by the package is released under CC BY 4.0.
Parts of the repository may be licensed under different licenses, especially dependent package binaries for duke being licensed under Apache 2.0 license.

This repository uses the REUSE conventions to indicate the licenses that apply to individual files and parts of the repository.
For details on the licenses that apply, see the the header information of the respective files and REUSE.toml for details.

You can find a list of contributors in the contributors page and in the contributors file.

Citation (CITATION.cff)

# SPDX-FileCopyrightText: Contributors to powerplantmatching <https://github.com/pypsa/powerplantmatching>
#
# SPDX-License-Identifier: MIT

cff-version: 1.2.0
message: "If you use this package, please cite the corresponding manuscript in Journal of Open Research Software."
title: "Performing energy modelling exercises in a transparent way - The issue of data quality in power plant databases"
journal: Energy Strategy Reviews
doi: 10.1016/j.esr.2018.11.004
repository: https://github.com/pypsa/powerplantmatching
version: 0.8.2.dev0+gf7b432080.d20260211 # Don't touch, will be updated by the release script
license: MIT
authors:
  - family-names: Gotzens
    given-names: Fabian
    orcid: https://orcid.org/0000-0001-8546-2033
  - family-names: Heinrichs
    given-names: Heidi
    orcid: https://orcid.org/0000-0001-9536-9465
  - family-names: Hörsch
    given-names: Jonas
    orcid: https://orcid.org/0000-0001-9438-767X
  - family-names: Hofmann
    given-names: Fabian
    orcid: https://orcid.org/0000-0002-6604-5450

Owner metadata

Name: PyPSA
Login: PyPSA
Email:
Kind: organization
Description: Python for Power System Analysis
Website: www.pypsa.org
Location:
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/32890768?v=4
Repositories: 29
Last ynced at: 2024-03-26T13:25:46.062Z
Profile URL: https://github.com/PyPSA

GitHub Events

Total

Release event: 3
Delete event: 26
Member event: 1
Pull request event: 68
Fork event: 16
Issues event: 29
Watch event: 42
Issue comment event: 58
Push event: 90
Pull request review comment event: 39
Pull request review event: 41
Create event: 30

Last Year

Delete event: 12
Pull request event: 22
Fork event: 2
Issues event: 8
Watch event: 11
Issue comment event: 23
Push event: 57
Pull request review event: 17
Pull request review comment event: 9
Create event: 12

Committers metadata

Last synced: 1 day ago

Total Commits: 904
Total Committers: 32
Avg Commits per committer: 28.25
Development Distribution Score (DDS): 0.612

Commits in past year: 35
Committers in past year: 12
Avg Commits per committer in past year: 2.917
Development Distribution Score (DDS) in past year: 0.8

Name	Email	Commits
Fabian	f**f@g**e	351
Fabian Gotzens	f**s@f**e	189
Jonas Hoersch	j**s@c**t	102
pre-commit-ci[bot]	6****]	47
Lukas Trippe	l**p@p**e	44
davide-f	f**s@g**m	33
Fabian Neumann	f**n@o**e	31
Thomas Kouroughli	t**u@i**m	24
Max Parzen	m**n@e**k	14
dependabot[bot]	4****]	9
Johannes HAMPP	4****n	9
Martin Hjelmeland	h**n@g**m	6
=	m**d@n**o	5
Schmugge, Jens	j**e@d**e	4
martha.frysztacki	e**4@i**u	3
Carlos Gaete	c**e@p**m	3
Heinz-Alexander Fuetterer	3****r	3
Koen van Greevenbroek	k**k@u**o	3
energyls	l**m@o**e	3
eb5194	m**i@k**u	3
Daniel Rüdt	1****t	2
Fabian Gotzens	f**s@r**e	2
Irieo	i**n@g**m	2
LukasFrankenQ	l**n@e**k	2
Strohut	5****t	2
rbaard1	1****1	2
Florian Maurer	f**r@d**g	1
Markus Groissböck	m**k@g**t	1
Fabian Neumann	F****n	1
Mayk Thewessen	m**2@h**m	1
and 2 more...

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 107
Total pull requests: 240
Average time to close issues: 7 months
Average time to close pull requests: 27 days
Total issue authors: 51
Total pull request authors: 30
Average comments per issue: 1.93
Average comments per pull request: 0.89
Merged pull request: 194
Bot issues: 0
Bot pull requests: 81

Past year issues: 5
Past year pull requests: 18
Past year average time to close issues: 3 months
Past year average time to close pull requests: 23 days
Past year issue authors: 3
Past year pull request authors: 8
Past year average comments per issue: 0.2
Past year average comments per pull request: 0.89
Past year merged pull request: 7
Past year bot issues: 0
Past year bot pull requests: 9

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

Top Issue Authors

FabianHofmann (12)
fneum (9)
davide-f (7)
irm-codebase (6)
pz-max (4)
SimDeh (4)
euronion (4)
cdgaete (3)
ChinCity (3)
henri-chat-noir (3)
FebinKa (3)
lisazeyen (2)
JanFrederickUnnewehr (2)
Tomkourou (2)
Jaspergeipel (2)

Top Pull Request Authors

pre-commit-ci[bot] (68)
lkstrp (37)
fneum (27)
FabianHofmann (18)
dependabot[bot] (13)
euronion (13)
davide-f (10)
cdgaete (5)
koen-vg (4)
afuetterer (4)
Tomkourou (4)
daniel-rdt (4)
pz-max (3)
martacki (3)
fgotzens (3)

Top Issue Labels

needs triage (12)
new dataset (5)
bug (3)
enhancement (2)
feature (1)

Top Pull Request Labels

dependencies (13)
github_actions (11)

Package metadata

Total packages: 4
Total downloads:
- pypi: 2,223 last-month
Total dependent packages: 0 (may contain duplicates)
Total dependent repositories: 30 (may contain duplicates)
Total versions: 98
Total maintainers: 2

proxy.golang.org: github.com/PyPSA/powerplantmatching

Homepage:
Documentation: https://pkg.go.dev/github.com/PyPSA/powerplantmatching#section-documentation
Licenses:
Latest release: v0.8.1 (published 6 months ago)
Last Synced: 2026-08-12T13:37:48.278Z (1 day ago)
Versions: 28
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent packages count: 5.395%
- Average: 5.576%
- Dependent repos count: 5.758%

proxy.golang.org: github.com/pypsa/powerplantmatching

Homepage:
Documentation: https://pkg.go.dev/github.com/pypsa/powerplantmatching#section-documentation
Licenses:
Latest release: v0.8.1 (published 6 months ago)
Last Synced: 2026-08-12T13:39:17.747Z (1 day ago)
Versions: 28
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent packages count: 5.395%
- Average: 5.576%
- Dependent repos count: 5.758%

pypi.org: powerplantmatching

Toolset for generating and managing Power Plant Data

Homepage: https://github.com/PyPSA/powerplantmatching
Documentation: https://powerplantmatching.readthedocs.io/
Licenses: MIT License
Latest release: 0.8.1 (published 6 months ago)
Last Synced: 2026-08-12T13:32:04.288Z (1 day ago)
Versions: 35
Dependent Packages: 0
Dependent Repositories: 23
Downloads: 2,223 Last month
Rankings:
- Dependent repos count: 3.028%
- Forks count: 6.007%
- Stargazers count: 6.503%
- Average: 7.732%
- Dependent packages count: 10.06%
- Downloads: 13.065%
Maintainers (2)
- fabhof
- lkstrp

conda-forge.org: powerplantmatching

This package provides ready-to-use power plant data for the European power system. Starting from openly available power plant datasets, the package cleans, standardizes and merges the input data to create a new combining dataset, which includes all the important information. The package allows to easily update the combined data as soon as new input datasets are released.

Homepage: https://github.com/PyPSA/powerplantmatching
Licenses: MIT
Latest release: 0.5.4 (published about 4 years ago)
Last Synced: 2026-04-01T02:01:22.682Z (4 months ago)
Versions: 7
Dependent Packages: 0
Dependent Repositories: 7
Rankings:
- Dependent repos count: 12.9%
- Forks count: 27.611%
- Average: 31.238%
- Stargazers count: 32.861%
- Dependent packages count: 51.579%

Dependencies

.github/workflows/release.yml actions

actions/checkout v6 composite
actions/create-github-app-token v3 composite
actions/download-artifact v8 composite
actions/setup-python v6 composite
hynek/build-and-inspect-python-package v2 composite
pypa/gh-action-pypi-publish release/v1 composite
softprops/action-gh-release v3 composite
stefanzweifel/git-auto-commit-action v7 composite

.github/workflows/test.yml actions

actions/checkout v6 composite
actions/download-artifact v8 composite
actions/setup-java v5 composite
actions/setup-python v6 composite
hynek/build-and-inspect-python-package v2 composite

pyproject.toml pypi

country-converter *
deprecation *
entsoe-py >=0.3.1
geopy *
matplotlib *
networkx >=1.10
numpy *
openpyxl *
pandas >=0.24.0,<4
pycountry *
pyyaml >=5.1.0
requests *
scipy *
seaborn *
tqdm *
unidecode *
xlrd *

.github/workflows/codeql.yml actions

actions/checkout v6 composite
github/codeql-action/analyze v4 composite
github/codeql-action/init v4 composite

.github/workflows/type-checking.yml actions

actions/checkout v6 composite
actions/setup-python v6 composite

Score: 16.754985658497603

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Sustainable Technology

powerplantmatching

Keywords from Contributors

Repository metadata

README.md

powerplantmatching

Main Features

Map

Installation

Contributing and Support

Citing powerplantmatching

Licence

Citation (CITATION.cff)

Owner metadata

GitHub Events

Total

Last Year

Committers metadata

Committer domains:

Issue and Pull Request metadata

Top Issue Authors

Top Pull Request Authors

Top Issue Labels

Top Pull Request Labels

Package metadata

proxy.golang.org: github.com/PyPSA/powerplantmatching

proxy.golang.org: github.com/pypsa/powerplantmatching

pypi.org: powerplantmatching

conda-forge.org: powerplantmatching

Dependencies