Search Results for "interpreter"
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Showing 7 open source projects for "interpreter"
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PikaPython
An ultra-lightweight Python interpreter that runs with only 4KB of RAM
An ultra-lightweight Python interpreter that runs with only 4KB of RAM, and zero dependencies. It is ready to use out of the box without any configuration required and easy to extend with C. Similar projects: MicroPython, JerryScript. -
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WhiteBear
a set of foundation classes for database engines
...It supports object and relational database, is highly portable and may be used in embedded or server environment. Project has been created from scratch and plan to includes storage engine, server, SQL interpreter, ODBC, JDBC and JDO interface -
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DuroDBMS
Relational Database Management System
A relational database management system, based on the principles laid down in the book "Databases, Types, and The Relational Model: The Third Manifesto" by C. J. Date and Hugh Darwen. -
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tinySQL is a SQL engine written in Java. It uses dBase format files compatible with MS Excel. tinySQL comes with a command line interpreter which you can use to create, drop, or update tables. A GUI for tinySQL can be found at www.sqlmagic.com
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An implementation (parser/interpreter) of SPARQL, a query language for RDF data that is the current recommendation of the W3C. Allows easy cusomization of the language and plugs in to several popular RDF servers, like Sesame.
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Set of tools and libs for managing structured data in a very flexible way: Imp./Exp. ASCII, XML, SQL, PS, Tex/LaTex, RTF GUI: X-Windows, MS-Windows Interface to C++, DBs, Perl, PHP, Java, TCP/IP LISP-like interpreter written in C++ using C-LIB
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7
hippocampus
shared memory object server database
hippocampus is a reflexion on the pertinence of developping a shared memory, object oriented, dynamic and reflexive language interpreter. The idea behind this confusing words is to have a python's like environment able to share objects across multiple processes, removing the GIL but restrincting the use of this environment to data manipulation. The motivation is to avoid all the ORM configuration, SQL manipulation and objects replications needed when using an rdbms.
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