Metadata-Version: 2.1
Name: pyDatalog
Version: 0.17.4
Summary: A pure-python implementation of Datalog, a truly declarative language derived from Prolog.
Home-page: https://sites.google.com/site/pydatalog/
Download-URL: http://pypi.python.org/pypi?name=pyDatalog&:action=display
Author: Pierre Carbonnelle
Author-email: pierre.carbonnelle@gmail.com
Keywords: prolog,logic programming,database,SQL,data integration,expert system,AI
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Prolog
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Other Environment
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Topic :: Database
Classifier: Topic :: Database :: Database Engines/Servers
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
License-File: LICENCE


## Warning

This package is not maintained.  Use at your own risk.
Consider using [IDP-Z3](https://www.idp-z3.be/) instead.

## Description

**pyDatalog** adds the logic programming paradigm to Python's toolbox, in a pythonic way.
You can now run logic queries on databases or Python objects, and use logic clauses to define python classes.
In particular, **pyDatalog** can be used as a query language:

* it can perform multi-database queries (from memory datastore, 11 relational databases, and noSQL database with
  appropriate connectors)
* it is more expressive than SQL, with a cleaner syntax;
* it facilitates re-use of SQL code snippet (e.g. for frequent joins or formula);


#### Datalog = SQL + recursivity

Datalog is a truly declarative language derived from Prolog, with strong academic foundations.  It complements Python
very well for:

* managing complex sets of related information (e.g. in data integration or the semantic web).
* simulating intelligent behavior (e.g. in games),
* performing recursive algorithms (e.g. in network protocol, code and graph analysis, parsing)
* solving discrete constraint problems.


#### As simple as Excel

Datalog excels at accelerated development: Datalog programs are often shorter than their Python equivalent,
and Datalog statements can be specified in any order, as simply as formula in a spreadsheet.


[More info](https://sites.google.com/site/pydatalog/home)



