kinetics
kinetics is a package for modelling reactions using ordinary differential equations. It's primarily aimed at modelling enzyme reactions, although can be used for other purposes.
See the Documentation for more information.
kinetics uses scipy.integrate.odeint to solve ordinary differential equations, but extends upon this to allow the use of parameter distributions rather than single parameter values. This allows error to be incorporated into the modelling.
kinetics uses scipy's probability distributions, with a large number of distributions to choose from. Typically uniform, normal, log-uniform or log-normal distributions are used.
Documentation: ReadTheDocs
Github: kinetics
Requirements: NumPy, SciPy, matplotlib, tqdm, pandas, SALib, seaborn, and deap.
Installation: pip install kinetics
Features
- Construct systems of ODEs simply by selecting suitable rate equations and naming parameters and species
- Use either simple parameter values or probability distributions
- Run sensitivity analysis using SALib
- Easily plot model runs using predefined plotting functions
- Optimisation using genetic algorithm using DEAP (coming soon)
Release files for kinetics 1.4.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kinetics-1.4.5.tar.gz | 26.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kinetics-1.4.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 57.3 kB
Release files / kinetics-1.4.5.tar.gz
| Download URL | kinetics-1.4.5.tar.gz |
|---|---|
| Size | 26.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e68be0c385cb7e0794fca6831eb5e31d27d17dae19553a0760476ff137e92451
|
|
BLAKE2b-256 checksum How to use checksums |
6f4916871ab2e10e31f948c0ecbccef9a3e79bf40043e3eae2b187d5e864e68b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Release files / kinetics-1.4.5-py3-none-any.whl
| Download URL | kinetics-1.4.5-py3-none-any.whl |
|---|---|
| Size | 31.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a2ff5b1c279d2bcae8e1f6fe7407684bbdd453d866af6912fb78d504fd4604f0
|
|
BLAKE2b-256 checksum How to use checksums |
ed692eb691109332a8e1a0f90e517b1ab9fddb9c7e39e0865e7fb42a24b58083
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|