Bottle vs. Mako vs. Python vs. Text2SQL.AI Comparison Chart

It provides a familiar, non-XML syntax that compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django and Jinja2 templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. As templates are ultimately compiled into Python bytecode, Mako's approach is extremely efficient and was originally written to be just as fast as Cheetah. Today, Mako is very close in speed to Jinja2, which uses a similar approach and for which Mako was an inspiration. Can access variables from their enclosing scope as well as the template's request context

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.