ema-workbench
workbench for performing exploratory modeling and analysis
Science Score: 49.0%
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○CITATION.cff file
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✓DOI references
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✓Committers with academic emails
5 of 23 committers (21.7%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (17.1%) to scientific vocabulary
Keywords
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Repository
workbench for performing exploratory modeling and analysis
Basic Info
Statistics
- Stars: 134
- Watchers: 10
- Forks: 94
- Open Issues: 52
- Releases: 11
Topics
Metadata Files
README.md
Exploratory Modeling workbench
Exploratory Modeling and Analysis (EMA) is a research methodology that uses computational experiments to analyze complex and uncertain systems (Bankes, 1993). That is, exploratory modeling aims at offering computational decision support for decision making under deep uncertainty and robust decision making.
The EMA workbench aims at providing support for performing exploratory modeling with models developed in various modelling packages and environments. Currently, the workbench offers connectors to Vensim, Netlogo, Simio, Vadere and Excel.
The EMA workbench offers support for designing experiments, performing the experiments - including support for parallel processing on both a single machine as well as on clusters-, and analysing the results. To get started, take a look at the high level overview, the tutorial, or dive straight into the details of the API.
The EMA workbench currently under development at Delft University of Technology. If you would like to collaborate, open an issue/discussion or contact Jan Kwakkel.
Documentation
Documentation for the workbench is availabe at Read the Docs, including an introduction on Exploratory Modeling, tutorials and documentation on all the modules and functions.
There are also a lot of example models available at ema_workbench/examples, both for pure Python models and some using the different connectors. A release notes for each new version are available at CHANGELOG.md.
Installation
The workbench is available from PyPI, and currently requires Python 3.9 or newer. It can be installed with:
pip install -U ema_workbench
To also install some recommended packages for plotting, testing and Jupyter support, use the recommended extra:
pip install -U ema_workbench[recommended]
There are way more options installing the workbench, including installing connector packages, edible installs for development, installs of custom forks and branches and more. See Installing the workbench in the docs for all options.
Contributing
We greatly appreciate contributions to the EMA workbench! Reporting Issues such as bugs or unclairties in the documentation, opening a Pull requests with code or documentation improvements or opening a Discussion with a question, suggestions or comment helps us a lot.
Please check CONTRIBUTING.md for more information.
License
This repository is licensed under BSD 3-Clause License. See LICENSE.md.
Owner
- Name: Jan Kwakkel
- Login: quaquel
- Kind: user
- Location: Delft, the Netherlands
- Company: Delft University of Technology
- Repositories: 7
- Profile: https://github.com/quaquel
GitHub Events
Total
- Issues event: 11
- Watch event: 9
- Delete event: 17
- Issue comment event: 15
- Push event: 59
- Pull request review comment event: 11
- Pull request review event: 11
- Pull request event: 25
- Fork event: 3
- Create event: 17
Last Year
- Issues event: 11
- Watch event: 9
- Delete event: 17
- Issue comment event: 15
- Push event: 59
- Pull request review comment event: 11
- Pull request review event: 11
- Pull request event: 25
- Fork event: 3
- Create event: 17
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jan Kwakkel | j****l@t****l | 1,293 |
| Ewout ter Hoeven | E****n@s****l | 95 |
| pre-commit-ci[bot] | 6****] | 30 |
| Jeffrey Newman | j****f@n****e | 14 |
| Floris Boendermaker | f****r@g****m | 12 |
| deepsource-autofix[bot] | 6****] | 6 |
| Patrick Steinmann | m****l@p****m | 5 |
| Jason R. Wang | a****s@j****a | 4 |
| James Houghton | J****n@g****m | 3 |
| dependabot[bot] | 4****] | 3 |
| Rob Calon | 3****n | 2 |
| David Hadka | d****a | 1 |
| Jeffrey Lyons | l****4@t****e | 1 |
| Mikhail Sirenko | 4****o | 1 |
| Rhys Evans | 3****s | 1 |
| Seth | 7****h | 1 |
| Will Usher | w****r@o****k | 1 |
| eb4890 | w****n@g****m | 1 |
| github-actions[bot] | 4****] | 1 |
| irene-sophia | 4****a | 1 |
| marcjaxa | M****n@t****l | 1 |
| tristandewildt | t****6@g****m | 1 |
| wlauping | w****g@t****l | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 76
- Total pull requests: 155
- Average time to close issues: 7 months
- Average time to close pull requests: 22 days
- Total issue authors: 17
- Total pull request authors: 10
- Average comments per issue: 2.43
- Average comments per pull request: 2.55
- Merged pull requests: 137
- Bot issues: 0
- Bot pull requests: 43
Past Year
- Issues: 9
- Pull requests: 28
- Average time to close issues: about 1 month
- Average time to close pull requests: 10 days
- Issue authors: 3
- Pull request authors: 4
- Average comments per issue: 0.56
- Average comments per pull request: 0.89
- Merged pull requests: 18
- Bot issues: 0
- Bot pull requests: 9
Top Authors
Issue Authors
- EwoutH (33)
- quaquel (21)
- steipatr (3)
- mikhailsirenko (3)
- sanketme (3)
- jpn-- (2)
- alexanderdrent (1)
- ghsher (1)
- SnuggleBug91 (1)
- jasonrwang (1)
- omarcastrejon (1)
- pollockDeVis (1)
- cedavidyang (1)
- TabernaA (1)
- robcalon (1)
Pull Request Authors
- quaquel (54)
- EwoutH (48)
- pre-commit-ci[bot] (40)
- pollockDeVis (3)
- dependabot[bot] (3)
- dhadka (2)
- steipatr (2)
- irene-sophia (1)
- mikhailsirenko (1)
- jasonrwang (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 308 last-month
- Total docker downloads: 23
- Total dependent packages: 0
- Total dependent repositories: 3
- Total versions: 36
- Total maintainers: 1
pypi.org: ema-workbench
Exploratory modelling in Python
- Homepage: https://github.com/quaquel/EMAworkbench
- Documentation: https://emaworkbench.readthedocs.io/
- License: Copyright (c) 2010-2016, Delft University of Technology All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the Delft University of Technology nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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Latest release: 2.5.3
published 10 months ago
Rankings
Maintainers (1)
Dependencies
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