RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information. The library contains parsers and serializers for RDF/XML, N3, NTriples, Turtle, TriX and RDFa. The library presents a Graph interface which can be backed by any one of a number of store implementations, including, memory, MySQL, Redland, SQLite, Sleepycat, ZODB and SQLObject.
Linking Public Vocabularies
We are happy to present Open Vocabulary, one of open source projects hosted by Knowledge Hives, which delivers Java API and REST API for managing knowledge organization systems. Since version 2.0 of OpenVocabulary, we also support Python Django API to access our vocabularies.
Cwm (pronounced coom) is a general-purpose data processor for the semantic web, somewhat like sed, awk, etc. for text files or XSLT for XML. It is a forward chaining reasoner which can be used for querying, checking, transforming and filtering information. Its core language is RDF, extended to include rules, and it uses RDF/XML or RDF/N3 (see Notation3 Primer) serializations as required.
CubicWeb is a semantic web application framework, licensed under the LGPL, that empowers developers to efficiently build web applications by reusing components (called cubes) and following the well known object-oriented design principles.
Its main features are:
an engine driven by the explicit data model of the application ,
a query language named RQL similar to W3C's SPARQL ,
a collection of semantic resources in order to ease the implementation of semantic Django web apps. Why? Just because data is more important than code and if you store, manipulate, give access to your data in a standard way you'll be able to interact with other website as part of the Giant Global Graph. Isn't it fun?
"The Data Science Toolbox is a virtual environment based on Ubuntu Linux that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run the Data Science Toolbox either locally (using VirtualBox and Vagrant) or in the cloud (using Amazon Web Services)."