lightweight pipelining: using Python functions as pipeline
Project homepage: https://joblib.readthedocs.io
Description
Joblib is a set of tools to provide lightweight pipelining in Python.
In particular:
transparent disk-caching of functions and lazy re-evaluation
(memoize pattern)
easy simple parallel computing
Joblib is optimized to be fast and robust in particular on large
data and has specific optimizations for numpy arrays. It is
BSD-licensed.
Package information
- Ports path
- sysutils/py-joblib
- Package architecture
- amd64
- Maintainer
- The OpenBSD ports mailing-list <ports@openbsd.org>
- Categories
- sysutils, lang/python
- Available flavors
- None listed
- Only for architectures
- aarch64, amd64, arm, i386, mips64, mips64el, powerpc, powerpc64, riscv64, sparc64, alpha, hppa
Ports list build and test dependencies as well as runtime dependencies. pkg_add selects those needed for installation.
Direct dependencies
Runtime
Build
- lang/python/3
- devel/py-build
- devel/py-installer
- devel/py-setuptools py3-setuptools->=79v0
- devel/py-wheel
Test
Used by (4 dependency relationships)
Includes library, runtime, build and test dependencies.