python-sql Description
Python-SQL is a library designed to facilitate the writing of SQL queries in a more Pythonic manner, supporting a variety of functionalities such as basic selects, selections with where clauses, and complex joins including multiple joins. It allows for groupings and output naming, alongside ordering results and executing sub-selects, while also enabling queries on different schemas. The library is capable of performing insert operations with default values, specific values, or even using another query for insertion. Furthermore, it accommodates updates with specified values, conditions, or lists, as well as deletions based on conditions or sub-queries. Additionally, it offers different query styles including limit style, qmark style, and numeric style to cater to diverse programming needs. This versatility makes Python-SQL a powerful tool for developers working with databases in a Python environment.
python-sql Alternatives
DbVisualizer
DbVisualizer is one of the world’s most popular database clients.
Developers, analysts, and DBAs use it to advance their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data and to auto-generate, write and optimize queries.
It has extended support for 30+ of the major databases and has basic-level support for all databases that can be accessed with a JDBC driver. DbVisualizer runs on all major OSes.
Free and Pro versions are available.
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Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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Text2SQL.AI
Create SQL queries in mere seconds using AI, effortlessly converting your ideas into intricate SQL commands through natural language. Text2SQL.AI harnesses the power of the advanced OpenAI GPT-3 Codex model, capable of interpreting English prompts into SQL statements and vice versa, making it a leading tool in Natural Language Processing, similar to the technology behind GitHub Copilot. This application offers a range of functionalities: generating SQL from English instructions, supporting various operations such as SELECT, UPDATE, DELETE, and table modifications, as well as accommodating constraints and window functions. Additionally, it provides plain English explanations for SQL queries and allows users to connect their custom database schemas, complete with historical context. Moreover, it supports multiple SQL dialects, including MySQL, PostgreSQL, Snowflake, BigQuery, and MS SQL Server, ensuring versatility for diverse user needs. We welcome any suggestions for additional features that could enhance your experience.
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Convermax
Convermax's search engine is adept at interpreting queries, such as recognizing 'cotton' as a material, 't-shirt' as a category, and 'under $50' as a price constraint in the phrase "cotton t-shirt under $50." In a similar vein, it identifies '52"' in the query "52" lcd" as the size specification for a television, and it can also recognize the alternative phrasing "52 inch lcd," providing identical results. Furthermore, with Convermax, an autocomplete suggestion bar appears in the search interface, delivering immediate recommendations to users based on their input. These suggested queries, products, and categories are all derived from your store's unique data and search history. As the autocomplete function aggregates more search information, it becomes increasingly intuitive and relevant, enabling customers to locate products more quickly and effortlessly. Additionally, the filter panel can dynamically show or conceal various sections based on the chosen category or other specified criteria, allowing for a customizable shopping experience. This adaptability helps ensure that the layout aligns with what is most logical for particular product categories, enhancing user satisfaction.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Company Details
Company:
Python Software Foundation
Headquarters:
United States
Website:
pypi.org/project/python-sql/
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