Atom vs. CudaText vs. JSONedit vs. Text2SQL.AI Comparison Chart

CudaText is a cross-platform text editor, written in Object Pascal. It is open source project and can be used free of charge, even for business. It starts quite fast on Linux on CPU Intel Core i3 3GHz. It is extensible by Python add-ons, plugins, linters, code tree parsers, external tools. Syntax parser is feature-rich, from EControl engine. Syntax highlight for lot of languages (270+ lexers). Code tree structure of functions/classes/etc, if lexer allows it. Code folding, multi-carets and multi-selections. Find/Replace with regular expressions. Configs in JSON format. Including lexer-specific configs. Tabbed UI, with a split view to primary/secondary, and a split window to 2/3/4/6 groups of tabs. Command palette, with fuzzy matching, minimap, and micromap. Shows unprinted whitespace and offers support for many encodings. Customizable hotkeys. Binary/Hex viewer for files of unlimited size (can show 10 Gb logs).

Generate SQL with AI in seconds. Turn your thoughts into complex SQL queries using natural language. Text2SQL.AI uses theOpenAI GPT-3 Codexmodel which can translate English prompts to SQL queries, and SQL queries to English text. It is currently the most advanced Natural Language Processing tool available, and this is the exact same model which used by Github Copilot. The app currently supports: SQL generation from English textual instructions. Supports SELECT, UPDATE, DELETE queries, CREATE and ALTER TABLE requests, constraints, window functions, and literally everything! SQL query explanation to plain English Your custom database schema (tables, fields, types) connection (with history) SQL dialects for MySQL, PostgreSQL, Snowflake, BigQuery, MS SQL Server... If you have any other feature request, please let us know.