Top 3 Python text-to-sql Projects
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DB-GPT-Hub
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
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zillion
Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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nl2query
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
I've also been frustrated when testing out tools that kinda keep you locked into one predetermined view, table, or set of tables at a time. I made a semantic data modeling library that puts together queries (and of course joins) for you as it uses a drill-across querying technique, and can also join data across different data sources in a secondary execution layer.
https://github.com/totalhack/zillion
Disclaimer: this project is currently a one man show, though I use it in production at my own company.
Introducing my personal project - "nl2query". It helps Convert natural language text inputs into Pandas, MongoDB, Kusto, and Neo4j queries effortlessly. Explore the code on GitHub: https://github.com/Chirayu-Tripathi/nl2query.
Index
What are some of the best open-source text-to-sql projects in Python? This list will help you:
Project | Stars | |
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1 | DB-GPT-Hub | 1,023 |
2 | zillion | 154 |
3 | nl2query | 42 |
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