Showing 5 open source projects for "universal sql editor"

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  • 1
    SQL Explorer

    SQL Explorer

    Easily share data across your company via SQL queries

    SQL Explorer aims to make the flow of data between people fast, simple, and confusion-free. It is a Django-based application that you can add to an existing Django site, or use as a standalone business intelligence tool. Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! ...
    Downloads: 1 This Week
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  • 2
    SQLModel

    SQLModel

    SQL databases in Python, designed for simplicity, compatibility

    SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy.
    Downloads: 1 This Week
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  • 3
    sqlit

    sqlit

    A user friendly TUI for SQL databases

    sqlit is a keyboard-first terminal UI that lets you connect to, browse, and query SQL databases quickly without relying on heavyweight GUI clients. It positions itself as a “lazygit-style” experience for databases, aiming for fast startup, intuitive navigation, and developer-friendly workflows directly inside your terminal. The tool supports a wide range of database providers, so you can use one interface across local databases, remote servers, and cloud-hosted instances rather than juggling...
    Downloads: 0 This Week
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  • 4
    PONY - ORM & web publication framework

    PONY - ORM & web publication framework

    Pony is a fast and easy to use Python ORM

    Pony is an object-relational mapper. The most interesting feature of Pony is its ability to write queries to the database using generator expressions. Pony works with entities which are mapped to a SQL database. Using generator syntax for writing queries allows the user to formulate very eloquent queries. It increases the level of abstraction and allows a programmer to concentrate on the business logic of the application. Following is an example of a query in Pony: select(p for p in Product if p.name.startswith('A') and p.cost <= 1000) Pony translates queries to SQL using a specific database dialect. ...
    Downloads: 0 This Week
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    Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud

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  • 5
    SQL editor, execution of scripts, export results (.xls).
    Downloads: 0 This Week
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