An integrated visual environment for metabolic modeling methods such as FBA, FVA and Elementary Flux Modes, and advanced features such as thermodynamic methods, extended Minimal Cut Sets, OptKnock, RobustKnock, OptCouple and more!

fva 开源项目推荐(10 个)
fva 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 10
GitHub 共 10 个仓库,已全部展示FROG analysis in python for the reproducibility of FBC models
Machine learning pipeline for genome-scale metabolic engineering and intervention ranking in E. coli using COBRApy and FBA.
findCP CLI package - find ChokePoint reactions in genome-scale metabolic models
findCP core package - find ChokePoint reactions in genome-scale metabolic models
XVA engine in Python: CVA, DVA, FVA, MVA and KVA with collateralised exposure and wrong-way risk.
High-Performance Flux Balance Analysis (FBA), FVA, Parsimonious FBA (pFBA) & Gene Essentiality Knockout Engine in Python.
End-to-end Python pipeline for derivatives valuation, valuation adjustments, funding valuation adjustment (FVA), and portfolio reporting using NSE NIFTY option-chain data.
Educational desktop app that teaches OTC derivatives counterparty-credit underwriting end to end: Monte Carlo exposure (EE/PFE), CVA/DVA/FVA, CSA collateral, limits, and an underwriting memo — plus a guided role-play simulator. PySide6/Qt6, runs offline on synthetic data.
Derivative Valuation & Fair Value Adjustment (XVA) Toolkit: OOP instrument hierarchy, Black-Scholes, Monte Carlo, DCF, yield curve bootstrapping, Greeks/DV01 sensitivities, and FVA/CVA/Bid-Offer reserves.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 10 个项目;原始页面见 https://github.com/topics/fva。
- 该话题在 GitHub 上共有 10 个仓库, 本站收录的是其中最热门的 10 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 10 个项目累计 86 Star,覆盖 2 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。