Alternatives and similar repositories for pyFOOMB

Users that are interested in pyFOOMB are comparing it to the libraries listed below

• novonordisk-research / ProcessOptimizer
  A tool to optimize real world problems
  ☆101Updated this week
• JacksonBurns / astartes
  Better Data Splits for Machine Learning
  ☆83Updated last month
• willfinnigan / kinetics
  Python package for modelling enzyme reactions using Monte carlo sampling from parameter distributions
  ☆31Updated 3 weeks ago
• edgarsmdn / GH-GNN
  Gibbs-Helmholtz Graph Neural Network
  ☆18Updated last year
• VlachosGroup / nextorch
  Experimental design and Bayesian optimization library in Python/PyTorch
  ☆51Updated 10 months ago
• amvro23 / essentials-ChEng
  A repository with examples on essential knowledge of chemical engineering.
  ☆54Updated 5 months ago
• salvadorgarciamunoz / kipet
  Development repository for Kipet.
  ☆20Updated 2 years ago
• EPFL-LCSB / skimpy
  Symbolic Kinetic Models with Python
  ☆33Updated 3 weeks ago
• JRC-COMBINE / HybridML
  Hybrid Modeling Framework
  ☆25Updated 2 years ago
• edgarsmdn / MLCE_book
  Hands-on material for a Machine Learning in Chemical Engineering course
  ☆103Updated last year
• sustainable-processes / summit
  Optimising chemical reactions using machine learning
  ☆130Updated 9 months ago
• paucablop / chemotools
  Integrate your chemometric tools with the scikit-learn API 🧪 🤖
  ☆57Updated last week
• JamesMarshall31 / design-of-experiments
  A Python Package for intuitive design of experiments with user-friendly analysis of results. The aim is for this package to rival the DOE…
  ☆22Updated 4 years ago
• basf / mopti
  Lightweight tools for experimental design and multi-objective optimization.
  ☆30Updated last month
• cremerlab / hplc-py
  A Python utility for the processing and quantification of chromatography data
  ☆48Updated 8 months ago
• malcolmsimgithub / ChemOS2.0
  ☆18Updated last year
• SergeiVKalinin / ACerS_AE_2024
  Materials for ACerS Automated Experiment Course
  ☆20Updated last year
• zavalab / ML
  ☆89Updated 2 weeks ago
• tspecht93 / HANNA
  HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
  ☆21Updated 7 months ago
• SergeiVKalinin / AutomatedExperiment_Summer2023
  The summer training course on the Bayesian Optimization
  ☆27Updated last year
• MSDLLCpapers / obsidian
  Algorithmic process optimization and AI experiment design
  ☆31Updated 2 months ago
• biosustain / Maud
  Enzyme models that take into account kinetics, allostery and thermodynamics
  ☆27Updated 9 months ago
• PEESEgroup / Pure-Component-Property-Estimation
  ☆28Updated 2 years ago
• evanyeyeye / rainbow
  Read chromatography and mass spectrometry binary files.
  ☆42Updated 6 months ago
• zavalab / Tutorials
  ☆26Updated 5 months ago
• experimental-design / bofire
  Experimental design and (multi-objective) bayesian optimization.
  ☆296Updated this week
• rodolfokeesey / Liquid-Handler
  ☆23Updated 2 years ago
• simonetacannodelas / BioVL-Library
  Mechanistic models in fermentation
  ☆18Updated 2 years ago
• materials-data-facility / awesome-bayesian-optimization
  ☆40Updated last year
• jpfolch / MFBoom
  ☆10Updated 2 years ago