pyscaffold

🛠 Python project template generator with batteries included

https://github.com/pyscaffold/pyscaffold

Science Score: 36.0%

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    5 of 59 committers (8.5%) from academic institutions
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    Low similarity (15.2%) to scientific vocabulary

Keywords

distribution git package package-creation project-template python release-automation template-project

Keywords from Contributors

closember unit-testing qt flexible alignment wx tk gtk asyncio fuzzing
Last synced: 6 months ago · JSON representation

Repository

🛠 Python project template generator with batteries included

Basic Info
  • Host: GitHub
  • Owner: pyscaffold
  • License: other
  • Language: Python
  • Default Branch: master
  • Homepage: https://pyscaffold.org
  • Size: 7.89 MB
Statistics
  • Stars: 2,228
  • Watchers: 40
  • Forks: 184
  • Open Issues: 35
  • Releases: 27
Topics
distribution git package package-creation project-template python release-automation template-project
Created almost 12 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing Funding License Authors

README.rst

.. image:: https://api.cirrus-ci.com/github/pyscaffold/pyscaffold.svg?branch=master
    :alt: Built Status
    :target: https://cirrus-ci.com/github/pyscaffold/pyscaffold
.. image:: https://readthedocs.org/projects/pyscaffold/badge/?version=latest
    :alt: ReadTheDocs
    :target: https://pyscaffold.org/en/latest
.. image:: https://img.shields.io/coveralls/github/pyscaffold/pyscaffold/master.svg
    :alt: Coveralls
    :target: https://coveralls.io/r/pyscaffold/pyscaffold
.. image:: https://img.shields.io/pypi/v/pyscaffold.svg
    :alt: PyPI-Server
    :target: https://pypi.org/project/pyscaffold/
.. image:: https://img.shields.io/conda/vn/conda-forge/pyscaffold.svg
    :alt: Conda-Forge
    :target: https://anaconda.org/conda-forge/pyscaffold
.. image:: https://pepy.tech/badge/pyscaffold/month
    :alt: Monthly Downloads
    :target: https://pepy.tech/project/pyscaffold
.. image:: https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=ff69b4
    :alt: Sponsor me
    :target: https://github.com/sponsors/FlorianWilhelm
.. image:: https://img.shields.io/twitter/url/http/shields.io.svg?style=social&label=Twitter
    :alt: Twitter
    :target: https://twitter.com/pyscaffold
.. image:: https://img.shields.io/badge/-PyScaffold?style=social&logo=pyscaffold&logoColor=005CA0&label=PyScaffold
    :alt: PyScaffold
    :target: https://pyscaffold.org/

|

.. image:: https://pyscaffold.org/en/latest/_images/logo.png
    :height: 512px
    :width: 512px
    :scale: 60 %
    :alt: PyScaffold logo
    :align: center

|

PyScaffold is a project generator for bootstrapping high quality Python
packages, ready to be shared on PyPI_ and installable via pip_.
It is easy to use and encourages the adoption of the best tools and
practices of the Python ecosystem, helping you and your team
to stay sane, happy and productive. The best part? It is stable and has been used
by thousands of developers for over half a decade!

Checkout out `this demo project`_, which was set up using PyScaffold and
if you are still not convinced yet, also have a look at these `reasons to use PyScaffold`_.


    **NOTE** - This document refers to the latest version of PyScaffold (v4).
    Please refer to `v3.3`_ for the previous stable version.


Quickstart
==========

Just pick your favourite installation method::

    ## Good old pip
    # (make sure it is up-to-date: pip install -U pip setuptools)
    pip install pyscaffold

    ## Conda for the datascience fans
    conda install -c conda-forge pyscaffold

    ## Or even pipx for the virtualenv aficionados
    pipx install pyscaffold

If you want to install all PyScaffold's *extensions* you can even::

    pip install pyscaffold[all]

(More details of each method are available in the `installation docs`_)

After the installation, a new ``putup`` command will be available and you can just type::

    putup my_project

This will create a new folder called ``my_project`` containing a perfect *project
template* with everything you need for some serious coding.

After ``cd``-ing into your new project and creating (or activating) an `isolated
development environment`_ (with virtualenv_, conda_ or your preferred tool),
you can do the usual `editable install`_::

    pip install -e .

… all set and ready to go!

We also recommend using tox_, so you can take advantage of the automation tasks
we have setup for you, like::

   tox -e build  # to build your package distribution
   tox -e publish  # to test your project uploads correctly in test.pypi.org
   tox -e publish -- --repository pypi  # to release your package to PyPI
   tox -av  # to list all the tasks available

The following figure demonstrates the usage of ``putup`` with the new experimental
interactive mode for setting up a simple project.
It uses the `--cirrus` flag to add CI support (via `Cirrus CI`_), and
tox_ to run automated project tasks like building a package file for
distribution (or publishing).

.. image:: https://pyscaffold.org/en/latest/_images/demo.gif
    :alt: Creating a simple package with PyScaffold
    :target: https://asciinema.org/a/qzh5ZYKl1q5xYEnM4CHT04HdW?autoplay=1

Type ``putup -h`` to learn about more configuration options. PyScaffold assumes
that you have Git_ installed and set up on your PC,
meaning at least your name and email are configured.

The project template provides you with following features:


Configuration & Packaging
=========================

All configuration can be done in ``setup.cfg`` like changing the description,
URL, classifiers, installation requirements and so on as defined by setuptools_.
That means in most cases it is not necessary to tamper with ``setup.py``.

In order to build a source or wheel distribution, just run ``tox -e build``
(if you don't use tox_, you can also install ``build`` and run ``python -m build``).

.. rubric:: Package and Files Data

Additional data, e.g. images and text files, that reside within your package and
are tracked by Git will automatically be included
if ``include_package_data = True`` in ``setup.cfg``.
It is not necessary to have a ``MANIFEST.in`` file for this to work.

Note that the ``include_package_data`` option in ``setup.cfg`` is only
guaranteed to be read when creating a `wheels`_ distribution. Other distribution methods might
behave unexpectedly (e.g. always including data files even when
``include_package_data = False``). Therefore, the best option if you want to have
data files in your repository **but not as part of the pip installable package**
is to add them somewhere **outside** the ``src`` directory (e.g. a ``files``
directory in the root of the project, or inside ``tests`` if you use them for
checks). Additionally you can exclude them explicitly via the
``[options.packages.find] exclude`` option in ``setup.cfg``.


Versioning and Git Integration
==============================

Your project is an already initialised Git repository and uses
the information of tags to infer the version of your project with the help of
setuptools_scm_.
To use this feature, you need to tag with the format ``MAJOR.MINOR[.PATCH]``
, e.g. ``0.0.1`` or ``0.1``.
This version will be used when building a package and is also accessible
through ``my_project.__version__``.

Unleash the power of Git by using its `pre-commit hooks`_. This feature is
available through the ``--pre-commit`` flag. After your project's scaffold
was generated, make sure pre-commit is installed, e.g. ``pip install pre-commit``,
then just run ``pre-commit install``.

A default ``.gitignore`` file is also provided; it is
well adjusted for Python projects and the most common tools.


Sphinx Documentation
====================

PyScaffold will prepare a `docs` directory with all you need to start writing
your documentation.
Start editing the file ``docs/index.rst`` to extend the documentation.
The documentation also works with `Read the Docs`_.

The `Numpy and Google style docstrings`_ are activated by default.

If you have `tox`_ in your system, simply run ``tox -e docs`` or ``tox -e
doctests`` to compile the docs or run the doctests.

Alternatively, if you have `make`_ and `Sphinx`_ installed in your computer, build the
documentation with ``make -C docs html`` and run doctests with
``make -C docs doctest``. Just make sure Sphinx 1.3 or above is installed.


Automation, Tests & Coverage
============================

PyScaffold relies on `pytest`_ to run all automated tests defined in the subfolder
``tests``.  Some sane default flags for pytest are already defined in the
``[tool:pytest]`` section of ``setup.cfg``. The pytest plugin `pytest-cov`_ is used
to automatically generate a coverage report. It is also possible to provide
additional parameters and flags on the commandline, e.g., type::

    pytest -h

to show the help of pytest (requires `pytest`_ to be installed in your system
or virtualenv).

Projects generated with PyScaffold by default support running tests via `tox`_,
a virtualenv management and test tool, which is very handy. If you run::

    tox

in the root of your project, `tox`_ will download its dependencies, build the
package, install it in a virtualenv and run the tests using `pytest`_, so you
are sure everything is properly tested.


.. rubric:: JUnit and Coverage HTML/XML

For usage with a continuous integration software JUnit and Coverage XML output
can be activated in ``setup.cfg``. Use the flag ``--cirrus`` to generate
templates of the `Cirrus CI`_ configuration file ``.cirrus.yml`` which even
features the coverage and stats system `Coveralls`_.


Management of Requirements & Licenses
=====================================

Installation requirements of your project can be defined inside ``setup.cfg``,
e.g. ``install_requires = numpy; scipy``. To avoid package dependency problems
it is common to not pin installation requirements to any specific version,
although minimum versions, e.g. ``sphinx>=1.3``, and/or maximum versions, e.g.
``pandas<0.12``, are used frequently in accordance with `semantic versioning`_.

All licenses from `choosealicense.com`_ can be easily selected with the help
of the ``--license`` flag.


Extensions
==========

PyScaffold comes with several extensions:

* If you want a project setup for a *Data Science* task, just use ``--dsproject``
  after having installed `pyscaffoldext-dsproject`_.

* Have a ``README.md`` based on Markdown instead of ``README.rst`` by using
  ``--markdown`` after having installed `pyscaffoldext-markdown`_.

* Create a `Django project`_ with the flag ``--django`` which is equivalent to
  ``django-admin startproject my_project`` enhanced by PyScaffold's features
  (requires `pyscaffoldext-django`_).

* … and many more like ``--gitlab`` to create the necessary files for GitLab_,
  ``--travis`` for `Travis CI`_ (see `pyscaffoldext-travis`_), or
  ``--cookiecutter`` for Cookiecutter_ integration (see `pyscaffoldext-cookiecutter`_).

Find more extensions within the `PyScaffold organisation`_ and consider contributing your own,
it is very easy! You can quickly generate a template for your extension with the
``--custom-extension`` option after having installed `pyscaffoldext-custom-extension`_.

All extensions can easily be installed with ``pip install pyscaffoldext-NAME``.

Easy Updating
=============

Keep your project's scaffold up-to-date by applying
``putup --update my_project`` when a new version of PyScaffold was released.
An update will only overwrite files that are not often altered by users like
``setup.py``. To update all files use ``--update --force``.
An existing project that was not setup with PyScaffold can be converted with
``putup --force existing_project``. The force option is completely safe to use
since the git repository of the existing project is not touched!


.. _v3.3: https://pyscaffold.org/en/v3.3.x/
.. _PyPI: https://pypi.org/
.. _pip: https://pip.pypa.io/en/stable/
.. _this demo project: https://github.com/pyscaffold/pyscaffold-demo
.. _reasons to use PyScaffold: https://pyscaffold.org/en/latest/reasons.html
.. _installation docs: https://pyscaffold.org/en/latest/install.html
.. _isolated development environment: https://realpython.com/python-virtual-environments-a-primer/
.. also good, but sometimes medium can get on the way: https://towardsdatascience.com/virtual-environments-104c62d48c54
.. _virtualenv: https://virtualenv.pypa.io/en/stable/
.. _conda: https://docs.conda.io/en/latest/
.. _editable install: https://pip.pypa.io/en/stable/cli/pip_install/#editable-installs
.. _setuptools: https://setuptools.pypa.io/en/stable/userguide/declarative_config.html
.. _setuptools_scm: https://pypi.org/project/setuptools-scm/
.. _semantic versioning: https://semver.org
.. _Git: https://git-scm.com/
.. _PEP440: https://www.python.org/dev/peps/pep-0440/
.. _pre-commit hooks: https://pre-commit.com/
.. _make: https://www.gnu.org/software/make/
.. _Sphinx: https://www.sphinx-doc.org/en/master/
.. _Read the Docs: https://readthedocs.org/
.. _Numpy and Google style docstrings: https://www.sphinx-doc.org/en/master/usage/extensions/napoleon.html
.. _pytest: https://docs.pytest.org/en/stable/
.. _pytest-cov: https://github.com/pytest-dev/pytest-cov
.. _Cirrus CI: https://cirrus-ci.org/
.. _Travis CI: https://travis-ci.org/
.. _Coveralls: https://coveralls.io/
.. _tox: https://tox.wiki/en/stable/
.. _choosealicense.com: https://choosealicense.com/
.. _Django project: https://www.djangoproject.com/
.. _Cookiecutter: https://cookiecutter.readthedocs.io/en/stable/
.. _GitLab: https://about.gitlab.com/
.. _pip-tools: https://github.com/jazzband/pip-tools/
.. _pyscaffoldext-dsproject: https://github.com/pyscaffold/pyscaffoldext-dsproject
.. _pyscaffoldext-custom-extension: https://github.com/pyscaffold/pyscaffoldext-custom-extension
.. _pyscaffoldext-markdown: https://github.com/pyscaffold/pyscaffoldext-markdown
.. _pyscaffoldext-django: https://github.com/pyscaffold/pyscaffoldext-django
.. _pyscaffoldext-cookiecutter: https://github.com/pyscaffold/pyscaffoldext-cookiecutter
.. _pyscaffoldext-travis: https://github.com/pyscaffold/pyscaffoldext-travis
.. _PyScaffold organisation: https://github.com/pyscaffold/
.. _wheels: https://realpython.com/python-wheels/

Owner

  • Name: PyScaffold
  • Login: pyscaffold
  • Kind: organization

Python project template generator with batteries included

GitHub Events

Total
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Last Year
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Committers

Last synced: 9 months ago

All Time
  • Total Commits: 2,242
  • Total Committers: 59
  • Avg Commits per committer: 38.0
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Past Year
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  • Avg Commits per committer: 14.5
  • Development Distribution Score (DDS): 0.034
Top Committers
Name Email Commits
Anderson Bravalheri a****i@g****m 924
Florian Wilhelm f****m@i****e 839
Florian Wilhelm F****m@b****m 327
pre-commit-ci[bot] 6****] 39
Julian s****r 12
Carli* Freudenberg k****d@p****e 7
Christoph Paulik c****k@g****m 6
Felix Wick f****k@b****m 5
Anderson Bravalheri a****i@I****k 5
Holger Peters e****l@h****e 5
John Vandenberg j****b@g****m 4
Will Usher w****r@o****k 4
Christoph Paulik c****k@g****t 3
Uwe L. Korn u****n@b****m 3
Matthias Baur m****r@s****e 3
Mark Haley m****y@t****m 3
Laurențiu Andronache l****e@t****o 3
Elliott Sales de Andrade q****t@g****m 3
Ben Mares 1****b 2
Christian Clauss c****s@m****m 2
Martin Hepp m****p 2
Patrick Muehlbauer t****e@g****m 2
The Nomadic Coder a****n@g****m 2
Vicky C Lau v****2@s****a 2
Koen Vervloesem k****n@v****u 1
André Santos g****s 1
Andras Elso e****s@g****m 1
Henning Häcker h****r@i****e 1
WernerTim t****r@b****m 1
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and 29 more...

Issues and Pull Requests

Last synced: 6 months ago

All Time
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  • Average time to close issues: 23 days
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  • Total issue authors: 23
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  • Average comments per issue: 3.46
  • Average comments per pull request: 1.87
  • Merged pull requests: 72
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Past Year
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  • Average time to close issues: 10 days
  • Average time to close pull requests: about 2 months
  • Issue authors: 1
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  • Average comments per issue: 1.0
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Packages

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  • Total versions: 774
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Reading and reshuffling of CCI soil moisture

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Find the best combination of biomarkers in case-control experiment

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Neural Machine Translation for NLPIA 2nd Edition

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test

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Optimal transport for cytometry data

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Collection of tools for everyday machine learning and data science tasks

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pypi.org: gym-maze-trustycoder83

A simple 2D maze environment for OpenAI Gym

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pypi.org: memon

Simple Memory Monitor that helps to decide if it is time to dump data to disk

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A storage system middleware

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pypi.org: molsetrep

A library for molecular representation learning.

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pypi.org: kedlang

Ked interpreter written in Python

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pypi.org: ddhi-aggregator

Aggregator for DDHI

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pypi.org: whereisip

Get the geolocation of the current server

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pypi.org: gitlab2mr

A gitlab-to-myrepo config helper

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pypi.org: lv-doc-tools

Tool for generating documentation of LabView projects.

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Ellipsoid Method in Python

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pypi.org: ellalgo

Ellipsoid Method in Python

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pypi.org: sphere-n

A library for low-discrepancy sequences

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pypi.org: rat-trig

Rational Trigonometry

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pypi.org: wemedia

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  • Homepage: https://github.com/pyscaffold/pyscaffold/
  • Documentation: https://wemedia.readthedocs.io/
  • License: The MIT License (MIT) Copyright (c) 2025 Walter Ye Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  • Latest release: 0.1.0
    published 12 months ago
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 9 Last month
Rankings
Dependent packages count: 9.5%
Average: 31.7%
Dependent repos count: 53.8%
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Last synced: 6 months ago
pypi.org: imputegaps

Impute data gaps in a pandas dataframe

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 9 Last month
Rankings
Dependent packages count: 9.7%
Average: 32.2%
Dependent repos count: 54.6%
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Last synced: 6 months ago
pypi.org: qsc-jimhe

Quantum Safe Coin Foundation

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 9.8%
Average: 32.5%
Dependent repos count: 55.2%
Maintainers (1)
Last synced: 7 months ago
pypi.org: core-global

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  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 55 Last month
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Dependent packages count: 10.0%
Average: 33.0%
Dependent repos count: 56.0%
Maintainers (1)
Last synced: 11 months ago
pypi.org: rheed-learn

RHEED-Learn is a Python package for analyzing and visualizing Reflection High-Energy Electron Diffraction (RHEED) data, designed to streamline the processing of thin-film growth data and assist with materials characterization.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 8 Last month
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Dependent packages count: 10.1%
Average: 33.4%
Dependent repos count: 56.6%
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Last synced: 6 months ago
pypi.org: nlptextprep

One step Python package for NLP friendly data preprocessing.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 8 Last month
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Dependent packages count: 10.1%
Average: 33.4%
Dependent repos count: 56.8%
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Last synced: 6 months ago
pypi.org: shimoku-data-transformations

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  • Versions: 1
  • Dependent Packages: 0
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  • Downloads: 6 Last month
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Dependent packages count: 10.1%
Average: 33.5%
Dependent repos count: 56.8%
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Last synced: 6 months ago
pypi.org: mem679-snake

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  • Versions: 2
  • Dependent Packages: 0
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  • Downloads: 17 Last month
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Dependent packages count: 10.2%
Average: 33.9%
Dependent repos count: 57.5%
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Last synced: 6 months ago
pypi.org: datafed-torchflow

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  • Versions: 6
  • Dependent Packages: 0
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  • Downloads: 25 Last month
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Dependent packages count: 10.2%
Average: 34.0%
Dependent repos count: 57.7%
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Last synced: 6 months ago
pypi.org: defensive-pandas-merge

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  • Versions: 2
  • Dependent Packages: 0
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  • Downloads: 6 Last month
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Dependent packages count: 10.3%
Average: 34.2%
Dependent repos count: 58.1%
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Last synced: 6 months ago
pypi.org: autophyslearn

A python package for physics constrained machine learning by the M3-learning research group at Drexel University

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 19 Last month
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Dependent packages count: 10.4%
Average: 34.4%
Dependent repos count: 58.4%
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Last synced: 6 months ago
pypi.org: humachinate

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  • Versions: 2
  • Dependent Packages: 0
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  • Downloads: 9 Last month
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Dependent packages count: 10.4%
Average: 34.4%
Dependent repos count: 58.4%
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Last synced: 6 months ago
pypi.org: awk-plus-plus

Declarative Data Orchestration

  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 90 Last month
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Dependent packages count: 10.4%
Average: 34.4%
Dependent repos count: 58.4%
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Last synced: 6 months ago
pypi.org: jlm-tech-ds-ml-ba-toolkit

data science toolkit

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 5 Last month
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Dependent packages count: 10.4%
Average: 34.6%
Dependent repos count: 58.8%
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Last synced: 6 months ago
pypi.org: coitrees

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  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 49 Last month
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Dependent packages count: 10.7%
Average: 35.4%
Dependent repos count: 60.1%
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Last synced: about 1 year ago
pypi.org: snicker

Listen to and inspect AWS SNS topic data

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 7 Last month
Rankings
Dependent packages count: 10.0%
Dependent repos count: 21.7%
Forks count: 29.8%
Average: 35.5%
Stargazers count: 38.8%
Downloads: 77.3%
Maintainers (1)
Last synced: 6 months ago
pypi.org: latexmlsuite

A tool to create a latex publication using latexml

  • Versions: 2
  • Dependent Packages: 0
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  • Downloads: 13 Last month
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Dependent packages count: 9.7%
Average: 37.0%
Dependent repos count: 64.2%
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Last synced: 6 months ago
pypi.org: cbsplotlib

Frontend to matplotlib to create pictures in the CBS corporate identity

  • Versions: 5
  • Dependent Packages: 3
  • Dependent Repositories: 0
  • Downloads: 54 Last month
Rankings
Dependent packages count: 9.8%
Average: 37.1%
Dependent repos count: 64.4%
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Last synced: 6 months ago
pypi.org: gshock-api

Pythgon API for GShock Watches using BLE

  • Versions: 26
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 476 Last month
Rankings
Dependent packages count: 9.9%
Average: 37.7%
Dependent repos count: 65.5%
Maintainers (1)
Last synced: 6 months ago
pypi.org: face-projection

This projects main goal is to have a simple library to project information into faces while retaining the facial structure.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 12 Last month
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Dependent packages count: 7.4%
Average: 38.0%
Dependent repos count: 68.7%
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Last synced: 6 months ago
pypi.org: clearvision

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  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 22 Last month
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Dependent packages count: 7.4%
Average: 38.1%
Dependent repos count: 68.8%
Maintainers (1)
Last synced: 6 months ago
pypi.org: breast-cancer-toolkit

Machine learning toolkit designed to support data scientists in breast cancer analysis.

  • Versions: 13
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 61 Last month
Rankings
Dependent packages count: 7.4%
Average: 38.1%
Dependent repos count: 68.9%
Maintainers (1)
Last synced: 6 months ago
pypi.org: clustaar.spellz.api-client

Simple package for communicate with the spellz api

  • Versions: 26
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 89 Last month
Rankings
Dependent packages count: 7.6%
Average: 38.5%
Dependent repos count: 69.4%
Maintainers (1)
Last synced: 6 months ago
anaconda.org: pyscaffold

PyScaffold is a project generator for bootstrapping high quality Python packages, ready to be shared on PyPI and installable via pip. It is easy to use and encourages the adoption of the best tools and practices of the Python ecosystem, helping you and your team to stay sane, happy and productive. The best part? It is stable and has been used by thousands of developers for over half a decade!

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 42.2%
Average: 44.3%
Dependent repos count: 46.4%
Last synced: 6 months ago

Dependencies

environment.yml conda
  • configupdater
  • pip
  • pre-commit
  • pytest
  • pytest-cov
  • pytest-virtualenv
  • python 3.*
  • tox
  • virtualenv
docs/requirements.txt pypi
  • Pillow *
  • configupdater *
  • furo *
  • packaging *
  • platformdirs *
  • setuptools >=38.3
  • setuptools_scm *
  • sphinx >=3.2.1
  • sphinx-copybutton *
  • sphinxemoji *
  • tomlkit *
.github/workflows/codeql-analysis.yml actions
  • actions/checkout v3 composite
  • github/codeql-action/analyze v2 composite
  • github/codeql-action/autobuild v2 composite
  • github/codeql-action/init v2 composite
.github/workflows/make-demo-repo.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • cpina/github-action-push-to-another-repository devel composite
.github/workflows/publish-package.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite