dfba
dfba: Software for efficient simulation of dynamic flux-balance analysis models in Python - Published in JOSS (2020)
Science Score: 89.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in JOSS metadata -
○Academic links in README
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✓Committers with academic emails
1 of 5 committers (20.0%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Repository
Basic Info
- Host: gitlab.com
- Owner: davidtourigny
- License: gpl-3.0+
- Default Branch: main
Statistics
- Stars: 8
- Forks: 4
- Open Issues: 16
- Releases: 0
Topics
JOSS Publication
dfba: Software for efficient simulation of dynamic flux-balance analysis models in Python
Authors
Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032 USA
Tags
Mathematical optimization Linear programming Numerical simulation Multi-scale metabolic modeling C++Committers
Last synced: 4 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| davidtourigny | d****y@g****m | 174 |
| carrascomj | c****j@g****m | 86 |
| Midnighter | m****r@p****t | 65 |
| Moritz E. Beber | m****b@b****k | 35 |
| yannikschaelte | y****e@g****m | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
Packages
- Total packages: 2
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Total downloads:
- pypi 25 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 5
(may contain duplicates) - Total versions: 8
- Total maintainers: 2
pypi.org: dfba
Object-oriented software for dynamic flux-balance simulations.
- Homepage: https://gitlab.com/davidtourigny/dynamic-fba
- Documentation: https://dfba.readthedocs.io/
- License: GNU GPL v3+
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Latest release: 0.1.8
published over 5 years ago
Rankings
Maintainers (2)
conda-forge.org: dfba
This project provides an object-oriented software package for dynamic flux-balance analysis (DFBA) simulations using implementations of the direct method or Algorithm 1 described in the paper Harwood et al., 2016. The main algorithms for solving embedded LP problems are written in C++ and use the GNU Linear Programming Kit (GLPK) and the Suite of Nonlinear and Differential/Algebraic Equation Solvers (SUNDIALS) CVODE or IDA. Extension modules to cobrapy are provided for easy generation and simulation of DFBA models.
- Homepage: https://dynamic-fba.readthedocs.io
- License: GPL-3.0-or-later
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Latest release: 0.1.8
published almost 5 years ago
Rankings
Dependencies
- ipykernel *
- nbsphinx >=0.5.0
- pygments >=2.4.1
- sphinx-autoapi >=1.2.1
- sphinx-copybutton >=0.2.6
- sphinx-material *