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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.
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No-Nonsense Code-to-Cloud Security for Devs | Aikido
Connect your GitHub, GitLab, Bitbucket, or Azure DevOps account to start scanning your repos for free.
Aikido provides a unified security platform for developers, combining 12 powerful scans like SAST, DAST, and CSPM. AI-driven AutoFix and AutoTriage streamline vulnerability management, while runtime protection blocks attacks.
Natural Docs is an open-source documentation generator for multiple programming languages. You document your code in a natural syntax that reads like plain English. Natural Docs then scans your code and builds high-quality HTML documentation from it.
SourceForge houses the source code and issue database for the old Perl version of Natural Docs, version 1.52. It is still available but no longer being updated. Please see NaturalDocs.org for the 2.x source code and issue database.
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The XACE project, based on Oracle XMLDB and Oracle APEX functionality, is created as a community effort to demonstrate the powerful combination when both Oracle database centric functionality are used in the same environment.
SYMPLiK RANGEHOOD is a Javadoc-like tool for Oracle database. This pure-Java program "sucks up" data dictionary and object source code from database and generate document for Tables, Views, Triggers, Packages, Procedures, Functions, and others.
Developed to suport a quickly way to generate a single '.sql' script (create) file using an [Oracle dabatabase conection] containing all DDL information in the database schema.
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Goal of oraschemadoc is to provide detailed documentation for all objects in schema covering Oracle specific features. Result of execution of oraschemadoc is set of static xhtml files. There are more features under development...
This browser-based tool is a flexible solution for documenting both logical and physical database schema designs. It supports simple version tracking concepts to document schema changes in varying stages of planning and implementation.