ICB-DCM/pyPESTO: pyPESTO 0.2.4

Ensembles/Sampling:

• General ensemble analysis, visualization, storage (#557, #565, #568)
• Calculate and plot MCMC parameter and prediction CIs via ensemble definition, parallelize ensemble predictions (#490)

Optimization:

• New optimizer: SciPy Differential Evolution (#543)
• Set fides default to hybrid (#578)

AMICI:

• Make guess_steadystate less restrictive (#561) and have a more intuitive default behavior (#562, #582)
• Customize time points (#490)

Storage:

• Save HDF5 history with SingleCoreEngine (#564)
• Add read/write function for whole results (#589)

Engines:

• MPI based distributed parallelization (#542)

Visualization:

• Speed up waterfall plots by resizing scales only once (#577)
• Change waterfall default offset to 1 - minimum (#593)

CI:

• Move GHA CI tests to pull request level for better cooperability (#574)
• Streamline test environments using tox and pre-commit hooks (#579)
• Test profile and sampling storage (#585)
• Update for Ubuntu 20.04, add rerun on failure (#587)

Minor fixes (release notes #558, nlop tests #559, close files #495, visualization #554, deployment #560, flakiness #570, aggregated deepcopy #572, respect user-provided offsets #576, update to SWIG 4 #591, check overwrite in profile writing #566)