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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Porcupine is an open-source Python based web application server that provides front-end and back-end revolutionary technologies for building modern data-centric Web 2.0 applications.
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.
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.
A lightweight, browsing-based, 100% Python, federated data integration framework. Users may create custom schemas for disparate sources, query and expand results across sources to find related data; for use in fields such as bioinformatics and datamining
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pyGTM is a package of python, C and mumps which enables a python module to provide interactive storage retrieval and query of python objects in GT.M (mumps) globals.
Cloud Target is a front-end to the python scripts that google uses to create, run and upload projects to its App Server system. This .NET application is based on the OSX front-end provided by Google in the SDK.
Simple Python-based PostgreSQL replicator using a master plpython trigger, signals, sequences, and a python client script See http://pgfoundry.org/projects/pyreplica/ for latest news and file releases
FLAG was designed to simplify the process of log file analysis and forensic investigations. FLAG facilitates efficient analysis of large quantities of data within an interactive environment. PyFlag is the reimplementation of FLAG in Python.
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ShelveDB is a pure python SQL-like database engine, where queries are preformed in analogous python syntax. It uses only built-in modules and shelve as the data structure. It has regular expression searching, plus native python typing and type checking.
This is an experiment in creating the best database API I can come up with. It is an alternative to query languages. The latest version is being written in Scala using Berkeley DB Java and will run on the Java VM.
BusyBee could be used to monitor and observe your INFORMIX database server.
It is an easy but flexible monitoring solution which could be used standalone or easily be integrated into system management tools like BigBrother, IBM Tivoli or HP OpenView.
KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
KInterbasDB is a Python DB API 2.0 module for the relational databases Firebird and Interbase. KInterbasDB also exposes most of the native client API of the database engine, including two-phase commit, server-side events, and an administrative API.
PyTablet is a self organizing DB for semi-structured data. PyTablet behave like a huge persistable dictionary where keys are ID and values are dictionary-like objects that can link each other and contain simple values.
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.
XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.
A toolbox for searching and extracting text in Bible databases. Currently in the process of converting the code repository to subversion. It may or may not live at sf.net afterward.
Cheshire3 is a fast Z39.50, SRW, XML search engine, written in Python for extensability and using C libraries for speed. Next generation of the Cheshire system (http://cheshire.berkeley.edu) and designed around a distributable, object oriented model.
DAServer is a bridge allowing remote connection to any SQL database that supports ODBC. SQL can be sent over XML-RPC from any platform removing the need for expensive/complex bridges and native drivers. Also included is a Zope db product using DAServer.