
Research
PyPI Package Disguised as Instagram Growth Tool Harvests User Credentials
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
.. image:: http://unmaintained.tech/badge.svg :target: http://unmaintained.tech/ :alt: No Maintenance Intended
This module is not maintained. Please use nbsphinx_ instead!
.. _nbsphinx: https://nbsphinx.readthedocs.io
.. start-badges
.. list-table:: :stub-columns: 1 :widths: 10 90
* - docs
- |docs|
* - tests
- |travis| |requires| |coveralls|
* - package
- |version| |conda| |github|
* - implementations
- |supported-versions| |supported-implementations|
.. |docs| image:: http://readthedocs.org/projects/sphinx-nbexamples/badge/?version=latest :alt: Documentation Status :target: http://sphinx-nbexamples.readthedocs.io/en/latest/?badge=latest
.. |travis| image:: https://travis-ci.org/Chilipp/sphinx-nbexamples.svg?branch=master :alt: Travis :target: https://travis-ci.org/Chilipp/sphinx-nbexamples
.. |coveralls| image:: https://coveralls.io/repos/github/Chilipp/sphinx-nbexamples/badge.svg?branch=master :alt: Coverage :target: https://coveralls.io/github/Chilipp/sphinx-nbexamples?branch=master
.. |requires| image:: https://requires.io/github/Chilipp/sphinx-nbexamples/requirements.svg?branch=master :alt: Requirements Status :target: https://requires.io/github/Chilipp/sphinx-nbexamples/requirements/?branch=master
.. |version| image:: https://img.shields.io/pypi/v/sphinx-nbexamples.svg?style=flat :alt: PyPI Package latest release :target: https://pypi.org/project/sphinx-nbexamples/
.. |conda| image:: https://anaconda.org/conda-forge/sphinx-nbexamples/badges/version.svg :alt: conda :target: https://anaconda.org/conda-forge/sphinx-nbexamples
.. |github| image:: https://img.shields.io/github/release/Chilipp/sphinx-nbexamples.svg :target: https://github.com/Chilipp/sphinx-nbexamples/releases/latest :alt: Latest github release
.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/sphinx-nbexamples.svg?style=flat :alt: Supported versions :target: https://pypi.org/project/sphinx-nbexamples/
.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/sphinx-nbexamples.svg?style=flat :alt: Supported implementations :target: https://pypi.org/project/sphinx-nbexamples/
.. end-badges
Welcome! Similarly to Oscar Najeras sphinx-gallery_ module, this module intends to create an example gallery for your documentation. However, we don't use python scripts, instead we create the example gallery out of a bunch of jupyter notebooks using nbconvert.
This package can be used to
Jupyter nbviewer
_.. _Jupyter nbviewer: https://nbviewer.jupyter.org .. _sphinx-gallery: http://sphinx-gallery.readthedocs.org/en/latest/
Simply install it via pip
::
$ pip install sphinx-nbexamples
Or you install it via::
$ python setup.py install
from the source on GitHub
_.
.. _source on GitHub: https://github.com/Chilipp/sphinx-nbexamples
The package requires
Sphinx_>=1.3: The python library for generating automated documentation
jupyter_: The jupyter framework for jupyter notebooks. sphinx-nbexamples explicitly depends on
.. _Sphinx: http://www.sphinx-doc.org/en/stable .. _jupyter: http://jupyter.org/ .. _nbconvert: https://nbconvert.readthedocs.io .. _jupyter_client: https://jupyter-client.readthedocs.io .. _ipykernel: https://ipykernel.readthedocs.io
FAQs
Create an examples gallery with sphinx from Jupyter Notebooks
We found that sphinx-nbexamples demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
Product
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Security News
Research
Socket uncovered two npm packages that register hidden HTTP endpoints to delete all files on command.