Search Results for "oracle sql query builder"

Kysely is a type-safe TypeScript SQL query builder that provides an intuitive and autocompletion-friendly API. It allows developers to construct complex SQL queries with full type safety, reducing runtime errors and improving code maintainability. Kysely supports various SQL dialects and is compatible with Node.js, Deno, and browser environments.

Kysely (pronounce “Key-Seh-Lee”) is a type-safe and autocompletion-friendly typescript SQL query builder. Inspired by knex. Mainly developed for node.js but also runs on deno and in the browser. Kysely makes sure you only refer to tables and columns that are visible to the part of the query you're writing. The result type only has the selected columns with correct types and aliases. As an added bonus you get autocompletion for all that stuff.

Tabularis is a free, open-source desktop database client for PostgreSQL, MySQL/MariaDB, and SQLite. Built with Rust and Tauri v2, it is fast, lightweight, and cross-platform (Windows, macOS, Linux). Features: SQL Notebooks with inline charts and cross-cell variables. AI-powered SQL assistant (OpenAI, Claude, Ollama, and more). Built-in MCP server for AI agent integration. Visual Query Builder with drag-and-drop JOINs. Plugin system to add any database driver. Monaco-based editor with smart autocomplete. High-performance data grid with inline editing. ...

DataStation is an open-source data IDE for developers. It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all kinds of text and binary files. Need to join or munge data? Write embedded scripts as needed in languages like Python, JavaScript, R or SQL. All in one application. Build reports with graphs, charts and tables. Script against data. Cross-platform: Windows, macOS, and Linux. Easily fetch your...

Schemats is a TypeScript code generator that creates type definitions from existing PostgreSQL schemas. It helps developers working with raw SQL or query builders to maintain strong typing and avoid runtime errors. By analyzing database schemas, Schemats bridges the gap between relational databases and TypeScript-based applications.