Skip to main content

A framework for approximate Bayesian computation (ABC) that speeds up inference by parallelizing computation on single computers or whole clusters.

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

abcpy-0.6.3.tar.gz (165.4 kB view details)

Uploaded Source

Built Distribution

abcpy-0.6.3-py3-none-any.whl (183.8 kB view details)

Uploaded Python 3

File details

Details for the file abcpy-0.6.3.tar.gz.

File metadata

  • Download URL: abcpy-0.6.3.tar.gz
  • Upload date:
  • Size: 165.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.7.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.10

File hashes

Hashes for abcpy-0.6.3.tar.gz
Algorithm Hash digest
SHA256 14cd959f3ccff8f5fd1d16239b8706cc8d1c1e2fe25d72855f500f005de41245
MD5 d663cbda017d2d2258815c7af000404d
BLAKE2b-256 f91399179da46c2505482bb1395526679aa21865ad6af2fba28921b62653070d

See more details on using hashes here.

File details

Details for the file abcpy-0.6.3-py3-none-any.whl.

File metadata

  • Download URL: abcpy-0.6.3-py3-none-any.whl
  • Upload date:
  • Size: 183.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.7.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.10

File hashes

Hashes for abcpy-0.6.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b1c6e35d50daae1415085e4380fb643b8af3004ee493b90dd0c27786d9b08095
MD5 c550ae17de75324a7f76f16d79ef5d7a
BLAKE2b-256 af7e633fb84eac95a77c6a2e9302e5801da7d87e82014526427345aed5052ec6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page