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ABCpy is a highly modular, scientific library for approximate Bayesian computation (ABC) written in Python. It is designed to run all included ABC algorithms in parallel, either using multiple cores of a single computer or using an Apache Spark or MPI enabled cluster. The modularity helps domain scientists to easily apply ABC to their research without being ABC experts; using ABCpy they can easily run large parallel simulations without much knowledge about parallelization, even without much additional effort to parallelize their code. Further, ABCpy enables ABC experts to easily develop new inference schemes and evaluate them in a standardized environment, and to extend the library with new algorithms. These benefits come mainly from the modularity of ABCpy.

Release files for abcpy 0.6.3

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Source distribution (sdist)

Source distribution for abcpy 0.6.3
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abcpy-0.6.3.tar.gz 165.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for abcpy 0.6.3
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abcpy-0.6.3-py3-none-any.whl Python 3 none any Details

Total release size: 349.2 kB

Release files / abcpy-0.6.3.tar.gz

Download URL abcpy-0.6.3.tar.gz
Size 165.4 kB
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Release files / abcpy-0.6.3-py3-none-any.whl

Download URL abcpy-0.6.3-py3-none-any.whl
Size 183.8 kB
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This release

0.6.3 This release

2 release files

0.6.2

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.7

2 release files

0.5.6

2 release files

0.5.5

2 release files

0.5.4

2 release files

0.5.3

2 release files

0.5.2

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.0

2 release files

0.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

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