webtext2sql
A web-based application that allows users to formulate and run SQL queries using natural language against an existing database of their preference.
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (5.6%) to scientific vocabulary
Keywords
Repository
A web-based application that allows users to formulate and run SQL queries using natural language against an existing database of their preference.
Basic Info
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
WebText2SQL
This is a project performed as part of my BE thesis at the International Hellenic University. The project focuses on the development of WebText2SQL, a web-based application that allows users to formulate SQL queries using natural language. Using a Large Language Model (LLM), the application will automatically generate the corresponding SQL code and execute it against a Database Management System (DBMS). The system aims to allow users to execute queries through a friendly web interface to retrieve information without the need for SQL knowledge. In addition, the project will also examine aspects of accuracy, efficiency, and usability of the application.
Owner
- Name: Hercules Konsoulas
- Login: dyka3773
- Kind: user
- Location: Thessaloniki, Greece
- Company: International Hellenic University
- Repositories: 2
- Profile: https://github.com/dyka3773
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: WebText2SQL
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Iraklis
family-names: Konsoulas
email: dyka3773@gmail.com
affiliation: International Hellenic University
repository-code: 'https://github.com/dyka3773/WebText2SQL'
abstract: >-
A web-based application that allows users to formulate and
run SQL queries using natural language against an existing
database of their preference.
keywords:
- text2sql
- llm
date-released: '2025-09-01'
GitHub Events
Total
- Issues event: 66
- Delete event: 18
- Issue comment event: 14
- Member event: 1
- Push event: 83
- Pull request review event: 6
- Pull request review comment event: 7
- Pull request event: 39
- Create event: 21
Last Year
- Issues event: 66
- Delete event: 18
- Issue comment event: 14
- Member event: 1
- Push event: 83
- Pull request review event: 6
- Pull request review comment event: 7
- Pull request event: 39
- Create event: 21
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 39
- Total pull requests: 21
- Average time to close issues: 10 days
- Average time to close pull requests: 1 day
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.15
- Average comments per pull request: 0.19
- Merged pull requests: 14
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 39
- Pull requests: 21
- Average time to close issues: 10 days
- Average time to close pull requests: 1 day
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.15
- Average comments per pull request: 0.19
- Merged pull requests: 14
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- dyka3773 (39)
Pull Request Authors
- dyka3773 (21)