Intro
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Pysimlab is a laboratory for time based simulations. The ideas is that it can manage the data, models and parameters for different runs of a simulation.

Its speciality is combining different models together, so that many people can work independently on models, that can be later combined into a simulation.

Technology Plans
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Pint: to manage the units of the 
Jax & numpy: For speeding up the running of kernels
Ema-workbench: For running multiple simulations under different scenarios
QT5: For the datagrid (using pyspread for inspiration)
matplotlib: visualisation

Roadmap plans
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ndarry backed QTableView initialised from csv
Structures for local repositories of datasets/models.
Fileformat for an experiment