Empowering researchers in metabolic modeling to work easier, faster and more reproducible
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MxlPy: Easily build mechanistic learning models
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MxlBricks: Combine reaction bricks to quickly build larger models
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MxlWeb: Experimental toolbox to run ODE models in the browser
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PySBML: Make SBML models simpler
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absorpig: Extract pigment composition of measured absorption spectra of photosynthetic organisms
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modelbase: Build & simulate metabolic networks including isotope-labelled versions
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qtbmodels: Precursor to MxlBricks
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moped: Integrative hub for reproducible construction, modification, curation and analysis of genome-scale metabolic models
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dismo: Build and analysing discrete spatial models based on ordinary differential equations
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matplotlib cookbook: Small collection of recipes for matplotlib
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difai: Did I forget any imports? updates your requirements file
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hue sunrise: Enjoy waking up more gently by having your philips hue lights simulate a sunrise
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cycparser py & rs: Parse MetaCyc, BioCyc or some other *cyc flatfiles