semvec/pypi-packages huggingface dataset:
lutes 1.0.0a1
A lightweight component-entity-system engine
License: MIT
Keywords: component entity system

Lutes
=====

Pronounced as the ancient French city "Lutèce", Lutes is a micro component
entity system engine.

Component Entity System
-----------------------

Component entity system architecture  is often used in game development.

It allows great flexibility by using composition over inheritence. It is based on three core elements:

Entity
    An entity is a mere ID that represent an object in our world
Component
    A component is a structure holding the object data for an aspect of the world.
    Several components can be associated to an entity.
System
    A system contain the logic for an aspect of the world

Lutes adds a fourth element: the manager. The manager is the glue that ties components, entities and systems together.

You can learn more on component entity system architecture on `this wiki <http://entity-systems.wikidot.com/>`_.

What lutes gives you
--------------------

In its current state, lutes gives you a simplistic structure with basic elements you can inherit from.

Lutes is an experiment but should be functionnal: please see how green are the badges below.

.. image:: https://travis-ci.org/greizgh/lutes.svg?branch=master
    :target: https://travis-ci.org/greizgh/lutes

.. image:: https://coveralls.io/repos/greizgh/lutes/badge.svg?branch=master
    :target: https://coveralls.io/r/greizgh/lutes?branch=master

.. image:: https://readthedocs.org/projects/lutes/badge/?version=latest
    :target: https://readthedocs.org/projects/lutes/?badge=latest
Pygmie 1.4
Webinterface for working with PostgreSQL queries
License: MIT

================================================
Pygmie Query Maker for Python 3.4 and PostgreSQL
================================================

This is a web interface with some nice tools that can greatly help if you are working with big complicated
queries with PostgreSQL. Some of the features include,

1. Tabbed interface for working with multiple queries at the same time.
2. Basic DB/Table structure information.
3. Query history using browsers Local Storage API, with bookmarks. Never lose another query half way into making.
3. User friendly interface for errors and logs without cluttering main UI
4. Integrated ACE Editor
5. Integrated Query Formatter.

NOTE: The result browser will limit the display of rows to around 100 unless there is a limit clause in the query.

Installation
============

You can install Pygmie via pip.

pip install pygmie

After installing start the server by using 'pygmie' command,
which should be in your path. You can use --ip and --port arguments
to specify the IP address and Port for the server.

Open the path to the webserver in browser. Enter the database credentials. Select the database from the dropdown.
Switch to queries tab. Start making queries!!

Dependencies
============

Flask
psycopg2
sqlparse (If you want the Query formatter)

Tested on Python 3.4

Have fun!