A pure-python implementation of a truly declarative subset of prolog. Run logic queries on databases or python objects, and use logic clauses to define python classes.
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.
Datalog is a truly declarative subset of prolog that is best at
- managing large 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)
- at solving discrete constraint problems.
In particular, pyDatalog can be used as query language:
- it can perform multi-database queries (from memory datastore, 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);
- it offloads the database server by performing joins on the application tier.
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.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|pyDatalog-0.11.2.win32.exe (104.7 kB) Copy SHA256 hash SHA256||Windows Installer||any||Nov 2, 2012|
|pyDatalog-0.11.2.zip (59.7 kB) Copy SHA256 hash SHA256||Source||None||Nov 2, 2012|