Open Source Python Database Software - Page 8

FleXTriad is a bundle of : Apache 2.2, MySQL 5.0, PHP 5.1, Perl 5.8, FileZila FTP Server 0.9 and QK SMTP Server 3. Tools included: xPanel, phpMyAdmin, MySQL Administrator 1.2 and FleXTriad Monitor. All latest stables.

FlightFeather's goal is "social networking for everyone". This means that anyone should have a chance to run a popular social networking site -- on minimal hardware, and without wasting bandwidth.

FramerD is a distributed semi-structured object database originally developed at MIT. It provides an internationalized Scheme-based scripting language, built-in text analysis tools, and special support for web scripting.

FreeGee is an integrated application framework for Python and C++. Included modules are: Python (scripting), PostgreSQL (database), wxWidgets/wxWindows (GUI), GnuPG (crypto), omniORB (OO middleware), Apache (Web), and other fine tools (see Home Page).

Generate a backend and frontend stack using Python, including interactive API documentation. Production ready Python web server using Uvicorn and Gunicorn. Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. Multiple features from each parameter declaration. Get production-ready code. With automatic interactive documentation. Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc. Celery worker that can import and use models and code from the rest of the backend selectively. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time.

Python program to convert the morphologically parsed Greek New Testament (provided by UPenn's CCAT and James Tauber http://morphgnt.org/) into an Emdros (http://emdros.org/) MQL database.

GNUccess aims to provide the Open Source Community with the alternative for using proprietary tools like for example MSAccess or PowerBuilder. It will allows creating, managing and running database applications.

<This project has been completely rewrote and transformed into a new one: https://sourceforge.net/projects/deday/. 2013/06/26> The graphic user interface for DEDA (DEmography Data Analysis), a scientific software package fitting survivalship data to a number of distributions using maximum likelihood (ML) method. Currently, Weibull (2p), Gompertz and Gompertz-Makeham are supported. IMPORTANT NOTICE: Only the GUI is provided here. In order to perform the analysis, one also need the DEDA computation core program. Please email a request to me, entitled: 'Request for DEDA computation core', if you wish to have a copy.

Gaby is a small personal databases manager for Linux using GTK+ and Gnome (if available) for its GUI.

GameFAQs board and user indexer fetches pages from GameFAQs and stores board and user names in a database for browsing.

The goal of this project is to make possible to access Progress database from any external program that can use sockets. The server (broker and agents) are written in Progress 4GL and made use of sockets capabilities of Progress V9.

Forms development tool for PostgreSQL in Python on GTK.

This framework allows the definition of attributes, entities and relations as used in entity-relationship (ER) models. It will then handle input and representation of data appropriately.

Complete and modular solution for storing school marks in electronical form.

The graph notebook provides an easy way to interact with graph databases using Jupyter notebooks. Using this open-source Python package, you can connect to any graph database that supports the Apache TinkerPop, openCypher or the RDF SPARQL graph models. These databases could be running locally on your desktop or in the cloud. Graph databases can be used to explore a variety of use cases including knowledge graphs and identity graphs. This project includes many examples of Jupyter notebooks. It is recommended to explore them. All of the commands and features supported by graph notebook are explained in detail with examples within the sample notebooks. You can find them here. As this project has evolved, many new features have been added. If you are already familiar with graph-notebook but want a quick summary of new features added, a good place to start is the Air-Routes notebooks in the 02-Visualization folder.

GraphQLmap is a Python-based scripting engine designed to interact with GraphQL endpoints for penetration testing purposes. It can connect to a target GraphQL endpoint, dump the schema (if introspection is enabled), query it interactively, and fuzz fields for NoSQL/SQL injection vectors, thereby revealing hidden attack surfaces. GraphQL endpoints represent a relatively newer attack vector compared to REST, and GraphQLmap helps bridge this gap by providing tooling tailored to the GraphQL paradigm. Because many modern applications adopt GraphQL for flexibility, this tool is useful when scanning and attacking API back ends where typical REST-based tools fall short. For a pentester, GraphQLmap speeds up discovery and exploitation workflows: you don’t just test known endpoints—you enumerate schema, fuzz fields, and chain queries. It offers a CLI, supports various HTTP methods, custom headers, proxies, and is designed to work with real-world GraphQL deployments.

In Green Cloud here is a central global server which does the work of global database management along with providing complex analysis services for the users (farmers, scientists) through the client machines and the public access web portal. The existing agricultural databases throughout the world can also be used for inference purposes and their data may also be updated by our server. The meteorological servers can be accessed for climate data.This server-client architecture mandatory in present and even near-future circumstances as the client machine has to be low-power and low-cost for the feasibility of the system in Indian context. Therefore, the complex analysis (Expert system analysis in accordance with world-wide data) has to be done on server. The environment data is collected via sensors is uploaded to the website

Griffith is a film collection manager application. Adding items to the movie collection is as quick and easy as typing the film title and selecting a supported source. Griffith will then try to fetch all the related information from the Web.

A cross platform chess database which supports ChessGML, PGN, SVG, PostgreSQL and plugins written in Java or Jython. Some Python chess libraries and some Python tools are included. Usable pieces are Java and Python opening classification libraries.

Python utilities for the storing, retrieving and displaying of information from a number of back end mechanisms. Note that development for Gerald has been moved to https://bitbucket.org/andy47/gerald

A database to support large history research projects. This is desktop application focuses on aiding individuals working on large projects like books and dissertations.

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.

A cgi program written in Python that turns HTTP GET and POST queries into SQL queries, runs them, turns the results into XML, and then returns the XML as the response to the HTTP query. It also supports returning a single BLOB as the whole response.

HTSQL is an HTTP access library to SQL databases, at http://htsql.org -- it is implemented with Python, and initially uses the PostgreSQL database. It has a do-as-you-please BSD style license for use with open source databases.

HyperSQL is like a doxygen plus javadoc for SQL, hypermapping SQL views, packages, procedures, and functions to HTML source code listings and showing all code locations where these are used.