Open Source Python Database Software - Page 15

This project is a set of usefull classes to manage data from de database to the user interface. Based on a dictionary who match the DB table, the panel will be created.

Python module for accessing RFC 2229 compliant dictionary servers. Includes classes and runs as a standalone client (a la dict) as well as a CGI script.

This is a python script for Windows that allows you to convert CSV files to MySQL .SQL formatted text files with ease. Untested with other database formats. Please try it out and contact me if it works.

This will be a generic indexing system for the python language with pluggable engines to store the resulting indexes in either ZODB, MySQL or (at a later date) its own proprietary format.

Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. 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).

Desktop free-form text database in which each record may contain an arbitrary collection of fields. Each field and record has its own style and colour. Efficient text searching - text is indexed as it is entered. Inspired by Blackwell Idealist.

Intends to make an automatic interface generator for a given sql structure, with insert and update dialogs an delete functionability

Quasi is Yet Another Python Shell, but with a twist. It supports pluggable "contexts" for non-Python commands, such as OS commands, MySQLdb queries and external programs. At last you can write: for x in `os ls *.py`: `os cp $x my_backups`

Tools for documentation and public access to social science studies : web-based interface for study documentation and XML generation under the DDI format, python script to import some tags of XML files to a MySQL database.

Quivr is an open-source platform that leverages Retrieval-Augmented Generation (RAG) to integrate Generative AI into applications. It serves as a "second brain," enabling users to build powerful AI-driven assistants that can process and retrieve information efficiently. Quivr supports various large language models and vector stores, providing flexibility and customization for developers.

zetadb is a python/zope tool that allows a rapid application development of relational database oriented web applications. It generates transladable and user friendly applications to maintain data over the web. It also implements OpenOffice integration

rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps.

Regional Computational Chemistry Collaboratory (RC3) is a suit of applications that can perform datafile backup, metadata extraction, database management, metadata visualization and manipulation for cross-group collaboratory in computational chem.

RIFF Isnt a File Formatter. RIFF is a small & simple command line utility written in Python to convert text data files in another text format (like delimited, SQL dump and fixed witdh).

Resources and Information for Success in Education: A web-based, database application to manage and publish academic catalog information including programs, courses, and schedules. It is intuitive, extensible, and easily integrated with existing systems.

Reporting engine library written in C. Create one XML file and generate PDF, HTML, TXT, and CSV reports based on queries. Has support for MySQL, PostgreSQL, ODBC. Bindings for PHP, Java, Python.

This program uses wxpython-phoenix to delete any rpms you specify. You can use the safe transaction check, or unsafe no check. The program confirms any actions, so it can be used safely.

RapDB is a database based on invert lists for representing the domains. Suitable for wide range of applications where accurate and fast processing of large volume data needed in a real time.

A knowledge base engine for Python built on F-Logic. It uses the FLORA-2 reasoning engine and provides permanent storage through ZODB. Logic programming concepts like logical variables, facts, rules and queries are included.

Recall is a framework for building distributed, fault-tolerant, replicated storage servers.

Redfoot is an extensible RDF server written in Python for building a Semantic Web of P2P nodes.

Relationale is a domain-specific language implementing relational algebra atop a general-purpose host language. It features a static type system, type inference, lexical scope, and delayed evaluation. A proof-of-concept is being developed in Python.

reppy is a PDF-Report Generator for databases (MySQL, Postgres, CSV) written in Python. The report definition is based on an XML-template, which can be edited with the included program XTRed. It needs the python library reportlab for pdf-creation.

The Restaurant Table Reservation System is a Django-powered web server framework that allows programmers (or me) to build websites for restaurant owners where customers can reserve tables (over the web) based upon owner-provided table availability data.

A tool that parses SQL Select statements and generates a diagram. The diagram shows parts of the underlying SQL directly in the diagram. For example x=30 , GROUP BY (year), HAVING MIN(age) > 18. It is easy to see cartesian joins and/or loops.