Oracle Database is a database commonly used for running online transaction processing (OLTP), data warehousing (DW) and mixed (OLTP & DW) database workloads. Oracle Database is available by several service providers on-prem, on-cloud, or as hybrid cloud installation. It may be run on third party servers as well as on Oracle hardware (Exadata on-prem, on Oracle Cloud or at Cloud at Customer).
Compare tables within or across databases
ODAT: Oracle Database Attacking Tool
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
Python driver for Oracle Database conforming to the Python DB API 2.0 specification with many advanced features. Fast, small, portable. Enterprise ready.
Simple DDL Parser to parse SQL (HQL, TSQL, AWS Redshift, BigQuery, Snowflake and other dialects) ddl files to json/python dict with full information about columns: types, defaults, primary keys, etc. & table properties, types, domains, etc.
Python script to monitor Oracle Databases
GenAI/RAG Optimizer and Toolkit for experimentation using Oracle Database AI Vector Search
An Oracle-DB command line client
A very simple asynchronous wrapper that allows you to get access to the Oracle database in asyncio programs.
Football management system DBMS python GUI project repository . This project is design on mysql database with python tiknter library for making a gui for the user
Specific application's backup for Bareos: XenServer, PostgreSQL, MySQL, Oracle
Solutions & Material from Oracle AI Vector Search Certification.
innOcity is a hotel booking platform designed using Oracle database and Django web framework. This website was built as our Database course project (CSE 216)
Server code for the myaenetwork website
Enhance SQL query generation using OCI Gen AI and Marqo. This project integrates with Oracle Autonomous Data Warehouse, leveraging DDL and comments for context-aware natural language queries, indexing and searching vectors, and executing optimized SQL commands.
Unofficial Python package for running Oracle Datapump remotely and without the need to install an Oracle Database client.
Block data import and export between .csv format and the most popular databases IBM DB2, Oracle, AWS AuroraDB, MongoDB, PostgreSQL, MySQL, SQLite3
Created by Oracle Corporation
Released 1979