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Deductive Database with Datalog, SQL, RA, TRC, DRC
The Datalog Educational System (DES) is a deductive database with Datalog, SQL, Relational Algebra, Tuple Relational Calculus and Domain Relational Calculus as query languages developed mainly for education. It can be used from most common Prolog interpreters over any supported OS and from portable executables (Windows, Linux and MacOS).
...This means that QAL can be backend agnostic about a subset of SQL features and data types. Of course custom SQL:s are also supported.
It is currently distributed as a Python 3 Library (pip3 install python3-qal) and Debian .deb package.
It is related the Optimal BPM project, see its Optimal Sync application for usage examples.
The text of this page is released under the Creative Commons Zero Waiver 1.0 (CC0).
This is attempt to make an open source bookmarking system that supports tagging, distributed data storage, genetic "splicing" of strains of bookmarking tags and much more!
PyODB is an ODBC Python module to provide an quick an easy way to work with databases.
It provides a small set of simplified bindings to the unixODBC API and has been developed
using SWIG.
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Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)
NTuple is a Python module used by high-energy physicists and astrophysicists to easily and efficiently access ntuple data stored in large ROOT data stores. Specifically, NTuple provides a friendly Pythonic interface to TNtuples and TTrees stored in TFiles
Hornet is a tool to browse and build MySQL databases, with the ability to connect to remote servers. It intends in the future to provide the capability to generate PHP-based interfaces to MySQL databases.
Omseek has been renamed to Xapian. Xapian is a Search Engine Library, written in C++ with bindings for Perl, Python, PHP, Java, Tcl, C# and Ruby. It allows you to easily add advanced indexing and search facilities to your applications.
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.