semvec/pypi-packages huggingface dataset:
sqliteimport 0.14.0
Import Python code from sqlite databases
Requires Python: >=3.10
Keywords: sqlite, import, importlib

..
    This file is a part of sqliteimport <https://github.com/kurtmckee/sqliteimport>
    Copyright 2024-2025 Kurt McKee <contactme@kurtmckee.org>
    SPDX-License-Identifier: MIT


..  image:: https://raw.githubusercontent.com/kurtmckee/sqliteimport/000c868cc82965e7ac1a421c76972db545937d26/docs/_static/banner.png
    :alt: sqlite import: Import Python code from sqlite databases.

-------------------------------------------------------------------------------

Demo usage example, using ``demo.py`` in `the sqliteimport repository`_:

..  code-block:: bash

    # Ensure sqliteimport is installed with the 'cli' extra.
    pip install sqliteimport[cli]

    # Install 'requests' in a standalone directory.
    pip install --target=sample requests

    # Generate a sqlite database containing the installed packages.
    sqliteimport bundle sample sample.sqlite3

    # Demonstrate that importing from a database works.
    python demo.py sample.sqlite3


This is the output:

..  code-block:: console

    $ python demo.py
    The requests module object:
    <module 'requests' (sample.sqlite3)>

    Requesting a webpage...success!

..  warning::

    The database format is likely to change as the project matures.


..  Links
..  -----
..
..  _the sqliteimport repository: https://github.com/kurtmckee/sqliteimport
slivka 0.8.5b7
A toolkit for deploying command-line tools as web services.
Requires Python: >=3.7
Keywords: slivka, scientific-computing, framework, REST-API, command-line-tools, hpc

======
Slivka
======

|version| |anaconda|

.. |version| image:: https://img.shields.io/badge/version-0.8.5b7-informational

.. |anaconda| image:: https://anaconda.org/slivka/slivka/badges/version.svg
   :target: https://anaconda.org/slivka/slivka

Slivka is a server application using Python 3.7+ intended for easy and flexible
creation of REST API for web services.
The server is based on Flask_ microframework and uses MongoDB_ as a backend storage.
Out intention is to create easily configurable and extensible interface for
running command line programs on a computer cluster.
Currently, `Univa Grid Engine`_ is supported out-of-the-box.
More information can be found in the documentation_.

.. _Flask: https://github.com/pallets/flask
.. _MongoDB: https://www.mongodb.com/
.. _`Univa Grid Engine`: http://www.univa.com/products/
.. _documentation: http://bartongroup.github.io/slivka/


------------
Installation
------------

Slivka is distributed as sources repository on GitHub_ and as a `conda package`_.

.. _GitHub: https://github.com/bartongroup/slivka
.. _conda package: https://anaconda.org/slivka/slivka

In order to install slivka from sources, clone the repository from GitHub::

  git clone https://github.com/bartongroup/slivka.git

navigate into the newly created directory and run the *setup.py* script
located in the repository's top directory with the Python interpreter.::

  python setup.py install

Installation with pip is also supported::

  python -m pip install <path to slivka>

or::

  python -m pip install git+https://github.com/bartongroup/slivka.git@master


Conda users may prefer to install slivka directly from our anaconda channel,
The package is provided by our *slivka* channel so make sure to
specify the channel name explicitly in the installation command.
We also recommend using *conda-forge* as a source for other dependencies.
You can either permanently append it to the channels list using ``conda config``
or tell conda to use it with additional ``-c conda-forge`` argument.
Keep in mind that development versions of slivka may not be available from
conda.::

  conda install -c slivka slivka

For Developers
==============

If you are the developer working with slivka sources, you may need to
install slivka in editable mode. It allows you make changes to the
installed package without the need to reinstall it every time.
Slivka can be installed in editable mode with either setuptools
(deprecated since python 3.10)::

  python setup.py develop

or using pip::

  python -m pip install -e <path to slivka>

For conda users, we recommend installing dependencies with conda first for the
slivka version you are going to work on::

  conda install --only-deps -c slivka slivka=<target-version>

and, after that, install slivka in editable mode without dependencies using pip::

  python -m pip install --no-deps -e <path to slivka>