Projects in Awesome Lists tagged with sqlparse
A curated list of projects in awesome lists tagged with sqlparse .
https://github.com/macbre/sql-metadata
Uses tokenized query returned by python-sqlparse and generates query metadata
database hive hiveql metadata mysql-query parser python-package python3-library sql sql-parser sqlparse
Last synced: 13 May 2025
https://github.com/tobimensch/termsql
Convert text from a file or from stdin into SQL table and query it instantly. Uses sqlite as backend. The idea is to make SQL into a tool on the command line or in scripts.
convert parse pipe query scripts sql sqlite sqlparse stdin terminal
Last synced: 06 Apr 2025
https://github.com/sfneal/mysql-toolkit
Syntax free MySQL toolkit... Build sophisticated queries programmatically, no need for tedious string manipulation. Handle's a remote MySQL database connection with a context manager, call almost any SQL query through a single import. Execute large SQL script (100mb+) on remote database, automatic command recognition, separation, and sequential execution.
manipulation mysql mysql-database python sql sqlparse
Last synced: 29 Mar 2025
https://github.com/shanathvemula/django_eventcalender
asgiref calendar-events calender django django-framework events python3 python37 pytz sqlparse
Last synced: 15 May 2025
https://github.com/amritakaur-08/smart_attendance_system
The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.
asgiref django mysql numpy opencv pillow-library python sqlparse
Last synced: 26 Feb 2025
https://github.com/npodlozhniy/sql-magics
Useful magic tools to facilitate SQL writing and execution within Jupyter
ipython ipython-magic sqlparse
Last synced: 13 Mar 2025
https://github.com/amardeepsingh-06/smart_attendance_system
The Smart Attendance System is designed to automate the attendance process using facial recognition. Traditional methods of taking attendance can be time-consuming and prone to errors. This project aims to streamline the process by leveraging computer vision technology, allowing for efficient, contactless, and accurate attendance tracking.
asgiref django mysql numpy opencv pillow-library python sqlparse
Last synced: 08 Apr 2025