reda

Reproducible Electrical Data Analysis

https://github.com/geophysics-ubonn/reda

Science Score: 36.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    7 of 11 committers (63.6%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.4%) to scientific vocabulary

Keywords

analysis data geophysics python3

Keywords from Contributors

debyedecomposition sip spectralinducedpolarization finite-elements
Last synced: 6 months ago · JSON representation

Repository

Reproducible Electrical Data Analysis

Basic Info
Statistics
  • Stars: 19
  • Watchers: 7
  • Forks: 9
  • Open Issues: 19
  • Releases: 7
Topics
analysis data geophysics python3
Created over 8 years ago · Last pushed 7 months ago
Metadata Files
Readme License

README.md

REDA - Reproducible Electrical Data Analysis

License: MIT Join the chat at https://gitter.im/geophysics-ubonn/reda

Latest release: 0.2.0 (29. Apr. 2024)

See releases page for a complete list of releases. Releases are also published to Pypi.

REDA is a scientific Python library for reproducible geoelectrical data analysis. It aims to provide a unified interface for common and advanced data processing steps while bridging the gap between a multitude of geoelectric measurement devices and inversion codes used across the geophysical community. It offers functionality to import, analyze, process, visualize, and export geoelectrical data with particular emphasis on time-lapse functionality and reproducibility. The latter is realized in the form of a logging system, which keeps track of each individual processing step applied to particular data set in a human-readable journal. REDA is platform compatible, tested and open-source under the permissive MIT license. Any contributions from the community are highly welcome.

REDA is a work-in-progress. Please contact us if you wish to use it or miss a specific functionality. Please see the status page for more information.

In which scenarios is reda useful?

Import data from a device-specific file format

Example::

import reda
ert = reda.ERT()
ert.import_syscal_bin('data_from_a_syscal_device.bin')
print(ert.data[['a', 'b', 'm', 'n', 'r']])

See the status page for supported device/software file formats.

Installation

Install latest release from PyPI (https://pypi.org/project/reda/):

pip install reda

Install current development version from git:

pip install git+https://github.com/geophysics-ubonn/reda

For more information, refer to the !installation page of the documentation.

Documentation

An online version of the docs can be found here: https://geophysics-ubonn.github.io/reda

Contributing

We look forward to any type of contributions:

  • code contribution
  • example contributions
  • documentation help
  • issuing bug reports

If in doubt, use the Gitter chat to contact us (click the Gitter badge above to join the chat).

Owner

  • Name: University of Bonn, Geophysics Section
  • Login: geophysics-ubonn
  • Kind: organization
  • Location: Bonn, Germany

GitHub Events

Total
  • Watch event: 2
  • Push event: 7
  • Create event: 1
Last Year
  • Watch event: 2
  • Push event: 7
  • Create event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 905
  • Total Committers: 11
  • Avg Commits per committer: 82.273
  • Development Distribution Score (DDS): 0.151
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Maximilian Weigand m****d@g****e 768
Florian Wagner m****l@f****o 89
Jakob Gallistl j****l@g****t 31
Valentin Michels m****s@g****e 5
Jasmin Budler b****r@g****e 3
Joost Hase j****e@f****e 2
Joost Hase h****e@g****e 2
Jonas Limbrock l****k@g****e 2
EIT 5 E****5@t****e 1
The Gitter Badger b****r@g****m 1
j-budler 3****r 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 57
  • Total pull requests: 26
  • Average time to close issues: 9 months
  • Average time to close pull requests: 20 days
  • Total issue authors: 5
  • Total pull request authors: 7
  • Average comments per issue: 0.67
  • Average comments per pull request: 0.08
  • Merged pull requests: 25
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • m-weigand (38)
  • ghost (8)
  • florian-wagner (8)
  • j-gallistl (2)
  • ThibaultMan (1)
Pull Request Authors
  • m-weigand (15)
  • j-hase (3)
  • ValentinMichels (3)
  • j-gallistl (2)
  • gitter-badger (1)
  • limbrock (1)
  • ghost (1)
Top Labels
Issue Labels
enhancement (13) v0.2 (10) bug (6) documentation (3) question (1)
Pull Request Labels
enhancement (1) v0.2 (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 39 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 13
  • Total maintainers: 1
pypi.org: reda

Reproducible Electrical Data Analysis

  • Versions: 13
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 39 Last month
Rankings
Dependent packages count: 7.3%
Forks count: 11.0%
Stargazers count: 14.9%
Average: 17.7%
Dependent repos count: 22.1%
Downloads: 33.4%
Maintainers (1)
Last synced: 6 months ago

Dependencies

doc/requirements_doc.txt pypi
  • Pillow >=7.1.0
  • crtomo-tools *
  • numpydoc *
  • sphinx *
  • sphinx-gallery *
requirements.txt pypi
  • Pillow >=7.1.0
  • h5py *
  • matplotlib >=2
  • numpy >=1.16.5
  • pandas >=0.23
  • pytest ==3.6.4
  • scipy *
  • tables *
  • twine *
requirements_dev.txt pypi
  • flake8 * development
  • ipython * development
  • pytest * development
setup.py pypi
  • matplotlib *
  • numpy *
  • pandas *
  • pillow *
  • scipy *
.github/workflows/build_and_deploy_doc.yml actions
  • actions/checkout v3 composite
  • actions/configure-pages v4 composite
  • actions/deploy-pages v4 composite
  • actions/upload-pages-artifact v3 composite
.github/workflows/build_doc.yml actions
  • actions/checkout v3 composite
  • actions/upload-pages-artifact v3 composite