semvec/pypi-packages huggingface dataset:
i3pystatus 3.35
A complete replacement for i3status
License: MIT

i3pystatus
==========

.. image:: http://golem.enkore.de/job/i3pystatus-dev/badge/icon
    :target: http://golem.enkore.de/job/i3pystatus-dev/

.. image:: https://travis-ci.org/enkore/i3pystatus.svg?branch=master
    :target: https://travis-ci.org/enkore/i3pystatus

i3pystatus is a growing collection of python scripts for
status output compatible to i3status / i3bar of the i3 window manager.

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

.. note:: Supported Python versions

    i3pystatus requires Python 3.2 or newer and is not compatible with
    Python 2.x. Some modules require additional dependencies
    documented in the docs.

From PyPI package `i3pystatus <https://pypi.python.org/pypi/i3pystatus>`_
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

::

    pip install i3pystatus

Packages for your OS
++++++++++++++++++++

* `Arch Linux <https://aur.archlinux.org/packages/i3pystatus/>`_ (stable
  release)
* `Arch Linux <https://aur.archlinux.org/packages/i3pystatus-git/>`_ (latest
  version)

Documentation
-------------

`All further user documentation has been moved here. <http://docs.enkore.de/i3pystatus>`_

Changelog
---------

`Located here. <http://docs.enkore.de/i3pystatus/changelog.html>`_

Contributors
------------

A list of all contributors can be found in `CONTRIBUTORS <https://github.com/enkore/i3pystatus/blob/master/CONTRIBUTORS>`_.
Particular noteworthy contributors are former maintainer Jan Oliver Oelerich and
current maintainer enkore.

Contribute
----------

To contribute a module, make sure it uses one of the ``Module`` classes. Most modules
use ``IntervalModule``, which just calls a function repeatedly in a specified interval.

The ``output`` attribute should be set to a dictionary which represents your modules output,
the protocol is documented `here <http://i3wm.org/docs/i3bar-protocol.html>`_.

Developer documentation is available in the source code and `here
<http://docs.enkore.de/i3pystatus>`_.

**Patches and pull requests are very welcome :-)**
bojack 0.1.1
BoJack client written in Python
License: MIT

# BoJack client written in Python

A Python interface to the [BoJack](https://github.com/marceloboeira/bojack) in-memory key value store.

## Installation

Python 3.4+

```
pip install bojack-py
```

## Usage

```python
>>> from bojack.client import Client

>>> client = Client('127.0.0.1', 5000)
>>> client.set('foo', 'bar')
b'bar'
>>> client.get('foo')
b'bar'
```

## Contributing

Found a bug? Have a suggestion? Please [open an issue](https://github.com/mauricioabreu/bojack-py/issues/new).

Want to contribute? Make sure you follow the [guide](https://github.com/mauricioabreu/bojack-py/blob/master/CONTRIBUTING.md).
skosprovider_oe 0.5.0
A SKOS provider for OE vocabularies.
License: MIT

skosprovider_oe: a skos provider for Onroerend Erfgoed
======================================================

This library implements a `SKOS provider <https://github.com/koenedaele/skosprovider>` 
for the thesaurus webservice of https://inventaris.onroerenderfgoed.be/thesaurus.

.. image:: https://travis-ci.org/koenedaele/skosprovider_oe.png?branch=master
        :target: https://travis-ci.org/koenedaele/skosprovider_oe
.. image:: https://coveralls.io/repos/koenedaele/skosprovider_oe/badge.png?branch=master
        :target: https://coveralls.io/r/koenedaele/skosprovider_oe
.. image:: https://badge.fury.io/py/skosprovider_oe.png
        :target: http://badge.fury.io/py/skosprovider_oe

Usage
-----

.. code-block:: python

    from skosprovider_oe.providers import OnroerendErfgoedProvider

    typologie = OnroerendErfgoedProvider(
        {'id': 'TYPOLOGIE'},
        'https://inventaris.onroerenderfgoed.be/thesaurus/typologie'
    )

    concepts = typologie.get_all()


0.5.0 (2016-08-12)
------------------

- Make compatible with skosprovider 0.6.x

0.4.2 (2016-02-22)
------------------

- Update to latest version of services.

0.4.1 (2015-03-02)
------------------

- Make sure a Concept or Collection gets passed a ConceptScheme from the
  provider. (#7) [dieuska]

0.4.0 (2015-01-25)
------------------

- Make compatible with skosprovider 0.4.x
- Drop support for Python 2.6 and 3.2
- Add support for subordinate arrays and superordinate concepts.
- Make notes available through the provider.

0.3.0 (2014-06-24)
------------------

- Make compatible with skosprovider 0.3.x
- Switch to a requests.Session for handling requests.
- Switch to py.test
- Add support for Coveralls

0.2.1 (2013-12-06)
------------------

- Fix dependency on skosprovider < 0.3.0

0.2.0 (2013-05-16)
------------------

- Upgrade to maintain compatibility with skosprovider 0.2.0

0.1.1 (2013-??-??)
------------------

- Some doc fixes

0.1.0 (2013-03-11)
------------------

- Initial version
elastic_funnel 0.1.6
Analysis tool for funnel visualization with log from Elasticsearch
License: MIT
Keywords: elasticsearch,log,funnel,elastic_funnel

## Elastic Funnel

[![Build Status](https://travis-ci.org/yuecen/elastic_funnel.svg?branch=master)](https://travis-ci.org/yuecen/elastic_funnel)

This is an analysis tool for funnel visualization with log from Elasticsearch. Even though we have [Kibana] can display log very well, 
it can't fit our goal that to analyze series log with context. 

### Prerequisites

In order to run elastic_funnel, some works have to prepare.

  * You have to run your Elasticsearch first
  * Set the essential config file with your Elasticsearch environment 

### Install

[Pandas] is one of core requirements and it could take a few minutes to complete.

```
pip install elastic_funnel
```

#### Add Essential Config File

Add the argument file ```~/.elastic_funnel``` to your home path, with 

```
[elastic]
host = 127.0.0.1
port = 9200
index = user-behavior-*
query = action:state_change AND sessionid:* 

[fields]
timestamp = @timestamp
stage = state
identity = sessionid
```

#### Run for a Funnel

```
elastic_funnel --stages landingpage login searchpage --start 2016-03-25T00:00:00
```

You could get a visualization with ASCII characters looks like follows, the percentage means trend from one stage to the next one.

```
Funnel: landingpage --> login --> searchpage
###############################################################################
██████████████████████████████████████████████████  27          100.0%  landingpage
██████████████                                       8          29.6%   login
█                                                    1          12.5%   searchpage
```

#### Arguments

```
usage: elastic_funnel [-h] [--host HOST] [--port PORT] [--index INDEX]
                      --stages STAGES [STAGES ...] [--start START] [--end END]
                      [--add_query ADD_QUERY]

optional arguments:
  -h, --help            show this help message and exit
  --host HOST           Host of Elasticsearch
  --port PORT           Port of Elasticsearch
  --index INDEX         Index name of Elasticsearch, e.g., user-behavior-log-*
  --stages STAGES [STAGES ...]
                        Set a path of stages , e.g., index explore user
                        explore
  --start START         Start time of log, e.g., 2016-03-24T00:00:00
  --end END             End time of log, e.g., 2016-03-28T00:00:00
  --add_query ADD_QUERY
                        Additional query using syntax of Lucene, https://lucen
                        e.apache.org/core/2_9_4/queryparsersyntax.html. You
                        can narrow you search target by syntax, e.g.,
                        country:US
```

### Quick Start with Docker

```
docker pull yuecen/elastic_funnel
```

```
docker run -it --rm -v ~/.elastic_funnel:/root/.elastic_funnel:ro yuecen/elastic_funnel elastic_funnel --stages landingpage login searchpage
```

### Quick Start with Gunicorn and cRUL ( *DEVELOPING...* )

[Kibana]:https://www.elastic.co/products/kibana
[Pandas]:http://pandas.pydata.org/