Open Source Python Database Software - Page 7

An implementation of a truly relational database language with Python. Inspired by Date and Darwen's 'Third Manifesto'.

DesktopTools is a collection of small utillities which help to make your daily life easier. Since the tools themself are rather small (projectwise) I keep them not as individual projects, but have them under this collective name.

A Python script to convert Dia XML files storing a UML diagram into SQL create statements. Ideal for designing a database with Dia and creating it on MySQL or PostgreSQL.

DictDataBase (DictDB) is a lightweight, Python-based in-memory database that uses dictionaries as its primary data structure. It provides a simple and efficient way to store, retrieve, and manipulate data without requiring an external database server. DictDB is useful for applications needing fast lookups, temporary storage, or embedded database functionalities.

A Graphic User Interface with texteditor and category browser for interaction with the free encyclopedia Wikipedia

DirectoryStorage - a ZODB Storage that stores objects in many files, one file per revision of each object. Designed to be robust, manageable, fault tolerant, and scalable.

DiskSearch is a tool for searching for files on removable media disks (e.g. for songs on your MP3-CD's). It's written in Python and runs on Linux (and other Unix systems) and Win32.

django-migration-linter is a tool that statically analyzes Django migration files to detect potentially dangerous operations. It flags migrations that might lock tables, drop columns, or perform expensive schema changes, helping teams catch issues before deployment. This tool is ideal for teams practicing continuous delivery or working on high-availability systems.

django-postgres-extra is a Django extension that enhances PostgreSQL support by adding advanced features like native upserts, materialized view support, and better constraint handling. It improves developer productivity by exposing PostgreSQL-specific capabilities in a Django-friendly way while maintaining ORM consistency.

Document summarization system. By adding document content to system, user queries will generate a summary document containing the available information to the system.

**Zastosowanie**: Głównym celem projektu jest optymalizacja wykorzystania pamięci w graficznych bazach danych poprzez analizę podobieństwa cosinusowego wektorów cech obrazów. Umożliwia identyfikację duplikatów (obrazów bardzo do siebie podobnych), co prowadzi do efektywniejszego zarządzania zasobami. **Program** W chwili obecnej program przeszukuje obrazy w katalogu, do którego ścieżka została zapisana w pliku 'Data\settings.txt'. **Użycie**: Program obsługuje się w terminalu. Po piewszym wykonaniu programu, zostaje utworzony katalog Data, w miejscu gdzie zapisany jest program. Aby wybrać ścieżkę do katalogu z obrazami należy w pliku 'settings.txt' zapisać ścieżkę. Następnie można wykonywać program z: -an, -mnb, -c, -i Link do GitHub: https://github.com/Duke-Axer/Duplicate-Finder Wszystkie pytania proszę pisać na b.gabka.nkn@gmail.com

A Python library bringing together utilities I've written over the years for work in bioinformatics and biostatistics, which should be generally applicable outside these fields as well. Focuses on string processing, DBI, and math.

Datawarehouse process workflow server and generator of datawarehouse mappings. It allows to define dependencies between tables or files and processes and according to these metadata it runs processes in parallel.

E-Cookbook is an electronic cookbook or recipe organizer. It will replace the old tattered cookbook in your kitchen. Easily decide on something to make for dinner, or see what you can make based on the ingredients in your refrigerator.

Electrical Consumption Middleware: versatile PostgreSQL database creating scripts; database level permissions management; periodical series statistical prevision Scilab script; applet to visualize graphics and other.

The world's favorite graph-relational database is back for an action-packed sequel. Tune in for a series of lightning talks breaking down what's new and what's next for EdgeDB. EdgeDB is an open-source database designed as a spiritual successor to SQL and the relational paradigm. It aims to solve some hard design problems that make existing databases unnecessarily onerous to use. Powered by the Postgres query engine under the hood, EdgeDB thinks about schema the same way you do: as objects with properties connected by links. It's like a relational database with an object-oriented data model, or a graph database with strict schema. We call it a graph-relational database. The core unit of schema in the graph-relational model is the object type, analogous to a table in SQL. Object types contain properties and can be linked to other object types to form a schema graph.

ERAlchemy generates Entity Relation (ER) diagram from databases or from SQLAlchemy models. The simplest way to install eralchemy on OSX is by using Homebrew. ERAlchemy requires GraphViz to generate the graphs and Python. Both are available for Windows, Mac and Linux. Thanks to it's modular architecture, it can be connected to other ORMs/ODMs/OGMs/O*Ms. Some tests require a local postgres database with a schema named test in a database named test all owned by a user named postgres with a password of postgres. ERAlchemy was inspired by erd, though it is able to render the ER diagram directly from the database and not just only from the ER markup language.

A semantic memory software tool “reflects” one's “imagination”. In it, arbitrary concepts may be described, stored, arranged, transformed, and shared. One may verbalize thoughts as they arise in the mind to externalize and digitize “mental obj

Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql, mongodb, redis, CouchDB. The installation through pypi retrieves 'fake-factory' as a main dependency. db argument takes 6 possible options, sqlite, mysql, postgresql, mongodb, redis, CouchDB. name argument is OPTIONAL. When it is absent fake2db will name db's randomly. host argument is OPTIONAL. Hostname to use for database connection. Not used for sqlite. host argument is OPTIONAL. Hostname to use for database connection. Not used for sqlite. username argument is OPTIONAL. Username for the database user. password argument is OPTIONAL. Password for database user. Only supported for mysql & PostgreSQL. locale argument is OPTIONAL. The localization of data to be generated ('en_US' as default). seed argument is OPTIONAL. Integer for seeding random generator to produce the same data set between runs. Note: uuid4 values still generated randomly.

FEAS steht für "Flugdaten Erfassungs- und Auswertungs- System". Es erleichtert die Führung von Flugbüchern, Bordbüchern und die Gebührenabrechnung.

FGL is a tightly-integrated self-contained development & execution environment utilizing best-of-breed programming tools and methodologies, optimized web/application server, highly-scalable relational/object database, and robust extension interface.

XML-RPC/FastRPC/MySQL console with Python-like syntax

FastVersion is a Qgis plugin for data versioning in a Postgis database. This plugin provides data versioning to tables with geometry stored in postgis. It allows to create, changes and eliminate versions, and within each version , to insert, modify and eliminate elements. It is possible carry out the processes of “post” from one version to another, with conflict resolution functionality. The system uses algorithms and data structures so that information is not duplicated each time a version is created. We recommend downloading it from the Qgis app. Plugins->Manage and Install Plugins->Settings->Show also experimental plugins Plugins->Manage and Install Plugins->Search FastVersion If downloaded from sourceforge, it must be unzipped in \.qgis2\python\plugins

A database and a web front end for physiologic data on animal feeding, developed with PostgreSQL and Django at NESCent (http://www.nescent.org) for Mammalian Feeding Working Group (http://www.feedexp.org). Current development of the codebase is on Github at http://github.com/NESCent/feedingdb.

File and Database Generator for windows and linux