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Port details
py-modin Make your pandas code run faster
0.32.0 mathnew! on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout Package not present on quarterly.This port was created during this quarter. It will be in the next quarterly branch but not the current one.
Maintainer: sunpoet@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2024-09-15 20:18:25
Last Update: 2024-09-15 20:09:34
Commit Hash: 7a47c10
Also Listed In: python
License: APACHE20
WWW:
https://modin.readthedocs.io/en/stable/
https://github.com/modin-project/modin
Description:
Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores. Modin works especially well on larger datasets, where pandas becomes painfully slow or runs out of memory. Also, Modin comes with the additional APIs to improve user experience.
HomepageHomepage    cgit ¦ Codeberg ¦ GitHub ¦ GitLab ¦ SVNWeb - no subversion history for this port

Manual pages:
FreshPorts has no man page information for this port.
pkg-plist: as obtained via: make generate-plist
There is no configure plist information for this port.
Dependency lines:
  • ${PYTHON_PKGNAMEPREFIX}modin>0:math/py-modin@${PY_FLAVOR}
To install the port:
cd /usr/ports/math/py-modin/ && make install clean
To add the package, run one of these commands:
  • pkg install math/py-modin
  • pkg install py311-modin
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py311-modin listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py311-modin
Package flavors (<flavor>: <package>)
  • py311: py311-modin
distinfo:
TIMESTAMP = 1726080919 SHA256 (modin-0.32.0.tar.gz) = 9f68557add5e92617d006eb98bfd93d298e7d4d9932a0cd48a5e38ee4f30a134 SIZE (modin-0.32.0.tar.gz) = 842563

Packages (timestamps in pop-ups are UTC):
py311-modin
ABIaarch64amd64armv6armv7i386powerpcpowerpc64powerpc64le
FreeBSD:13:latest--------
FreeBSD:13:quarterly--------
FreeBSD:14:latest-0.32.0--0.32.0---
FreeBSD:14:quarterly--------
FreeBSD:15:latest--n/a-n/a---
Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py311-setuptools>=0 : devel/py-setuptools@py311
  2. py311-wheel>=0 : devel/py-wheel@py311
  3. python3.11 : lang/python311
  4. py311-build>=0 : devel/py-build@py311
  5. py311-installer>=0 : devel/py-installer@py311
Test dependencies:
  1. python3.11 : lang/python311
Runtime dependencies:
  1. py311-fsspec>=2022.11.0 : devel/py-fsspec@py311
  2. py311-numpy>=1.22.4,1 : math/py-numpy@py311
  3. py311-packaging>=21.0 : devel/py-packaging@py311
  4. py311-pandas>=2,1<2.3,1 : math/py-pandas@py311
  5. py311-psutil>=5.8.0 : sysutils/py-psutil@py311
  6. python3.11 : lang/python311
There are no ports dependent upon this port

Configuration Options:
No options to configure
Options name:
math_py-modin
USES:
python
FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (2 items)
Collapse this list.
  1. https://files.pythonhosted.org/packages/source/m/modin/
  2. https://pypi.org/packages/source/m/modin/
Collapse this list.

Number of commits found: 1

Commit History - (may be incomplete: for full details, see links to repositories near top of page)
CommitCreditsLog message
0.32.0
15 Sep 2024 20:09:34
commit hash: 7a47c1050b7cbe7aa80ec8a41a72b7a3b15e95a1commit hash: 7a47c1050b7cbe7aa80ec8a41a72b7a3b15e95a1commit hash: 7a47c1050b7cbe7aa80ec8a41a72b7a3b15e95a1commit hash: 7a47c1050b7cbe7aa80ec8a41a72b7a3b15e95a1 files touched by this commit
Po-Chuan Hsieh (sunpoet) search for other commits by this committer
math/py-modin: Add py-modin 0.32.0

Modin is a drop-in replacement for pandas. While pandas is single-threaded,
Modin lets you instantly speed up your workflows by scaling pandas so it uses
all of your cores. Modin works especially well on larger datasets, where pandas
becomes painfully slow or runs out of memory. Also, Modin comes with the
additional APIs to improve user experience.

Number of commits found: 1