Showing 5 open source projects for "universal sql editor"

View related business solutions
  • Junie, the AI coding agent by JetBrains Icon
    Junie, the AI coding agent by JetBrains

    Your smart coding agent

    Junie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time.
    Learn More
  • Windocks - Docker Oracle and SQL Server Containers Icon
    Windocks - Docker Oracle and SQL Server Containers

    Deliver faster. Provision data for AI/ML. Enhance data privacy. Improve quality.

    Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances.
    Learn More
  • 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: 7 This Week
    Last Update:
    See Project
  • 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: 6 This Week
    Last Update:
    See Project
  • 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: 2 This Week
    Last Update:
    See Project
  • 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
    Last Update:
    See Project
  • Securely stream and govern industrial data to power intelligent operations with agentic insights. Icon
    Securely stream and govern industrial data to power intelligent operations with agentic insights.

    For IoT Developers, Solution Architects, Technical Architects, CTOs, OT/IT Engineers

    Trusted MQTT Platform — Fully-managed and cloud-native MQTT platform for bi-directional IoT data movement.
    Learn More
  • 5
    SQL editor, execution of scripts, export results (.xls).
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB