Skip to main content

A rule engine for Python powered by numba.

Project description

CRE is a high-performance forward-chaining rule engine for Python built with the numba just-in-time compiler toolset.

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

cre-0.5.1.tar.gz (239.1 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

cre-0.5.1-cp310-cp310-win_amd64.whl (218.3 kB view details)

Uploaded CPython 3.10Windows x86-64

cre-0.5.1-cp310-cp310-win32.whl (217.9 kB view details)

Uploaded CPython 3.10Windows x86

cre-0.5.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (220.5 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

cre-0.5.1-cp310-cp310-macosx_11_0_arm64.whl (214.0 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

cre-0.5.1-cp310-cp310-macosx_10_9_universal2.whl (215.1 kB view details)

Uploaded CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file cre-0.5.1.tar.gz.

File metadata

  • Download URL: cre-0.5.1.tar.gz
  • Upload date:
  • Size: 239.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for cre-0.5.1.tar.gz
Algorithm Hash digest
SHA256 0a2034568437080857612ee38b252dce339a90cadae0e10bbbc6d4d72ab54dfd
MD5 556d92c3a6fd280c32470ec5791c540a
BLAKE2b-256 74c0824bcb9b1e615bd25e3481e5f42f33bf2992b5924594c858acc4904de96c

See more details on using hashes here.

File details

Details for the file cre-0.5.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: cre-0.5.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 218.3 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for cre-0.5.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c8fcd41030c4dcfa357c1bb7caa853f94a082b6c8b181000ead2c0f37dab7081
MD5 7efad0cac38440dfe243b34576c17208
BLAKE2b-256 324089dde56f94d34afd4721fdb86a6942bd7080c0e5bba8ece55c3dc518bc6c

See more details on using hashes here.

File details

Details for the file cre-0.5.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: cre-0.5.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 217.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for cre-0.5.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 76b7eb6e89a04287ccc8ee453a21e2903d1715b76b261593a14ea46bd0c68b9d
MD5 33e123c522936becf61887181cf91131
BLAKE2b-256 798cc295fdc38d0b9c7b2274cb3b57cf230d77e3b78f1a390e33a7d2a3ed4947

See more details on using hashes here.

File details

Details for the file cre-0.5.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cre-0.5.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e2ac9cf472096bcdfdf77ac6965202eb75e624415525895509bc2d6c876f2b2d
MD5 2e668042d56e191c7e96deee7c89b88a
BLAKE2b-256 87b4a0357fd911917553f47f70a553b00553c099992d9b365875c4de2f347583

See more details on using hashes here.

File details

Details for the file cre-0.5.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: cre-0.5.1-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 214.0 kB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for cre-0.5.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bbf410fc44635a6a24e9d677b13930bdd3b64bf01f4825416d6b7fad5f9be2b5
MD5 b1a10ae1ffa927ce263010cc8d6e8a7f
BLAKE2b-256 2674b52144ba452864e5feb4254b9fd14a9bae8982829d7d597585d6ff9529ee

See more details on using hashes here.

File details

Details for the file cre-0.5.1-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

  • Download URL: cre-0.5.1-cp310-cp310-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 215.1 kB
  • Tags: CPython 3.10, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for cre-0.5.1-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 2a1f6eceb895180d10c92987468675070dc7dc9685b4e0160418850c96ad3ba6
MD5 66e4dcc2f30920aa3e7238c94960c823
BLAKE2b-256 7a2c67c804bad08749e6db1669ed511528df2e47ea5690dcc269477e9cc0a119

See more details on using hashes here.

Supported by

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