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Alternatives

Products that do what Five.Co - The fastest way to go from database to web GUI does

Hi, we're the creators of Five, the fastest way to go from database or REST API to web GUI. We automatically translate your data structure into a fully responsive web GUI. Our platform gives you the ability to model a MySQL database, write SQL queries, add business logic and integrations through JavaScript or TypeScript functions and launch a multi-user web app to the cloud in a single click (dev, test and prod environments included). Typical use cases for us are building a database admin panel, REST API GUI or any kind of bespoke business software. I'm posting a link to a code-along…

  1. 1
    Mongoku183

    A neat Web-based GUI for MongoDB

    2019

  2. 2
    Sheetbase452

    Free, fast and fun way to build modern websites and apps 🛠️

    2018

  3. 3AS
  4. 4CN

    Hi HN, I have been making this Cozo database since half a year ago, and now it is ready for public release. My initial motivation is that I want a graph database. Lightweight and easy to use, like SQLite. Powerful and performant, like Postgres. I found none of the existing solutions good enough. Deciding to roll my own, I need to choose a query language. I am familiar with Cypher but consider it not much of an improvement over CTE in SQL (Cypher is sometimes notationally more convenient, but not more expressive). I like Gremlin but would prefer something more declarative. Experimentations…

    2022 · github.com

  5. 5
    Airplane487

    Quickly transform scripts, SQL, and more into internal tools

    2021

  6. 6DB

    Hey HN, I’m Jimmy, co-founder of Dropbase (https://www.dropbase.io). We are an internal tools builder for Python developers. All you have to do is import any Python scripts/libraries, declare UI components, and layer app permissions so you can share them with others. We’re a middle ground between Airplane and Retool—simpler UI creation than Airplane, more code-centered than Retool. UI building is declarative and you can bind Python scripts/functions to UI components. You can write Python scripts/functions using our App Studio with support from a Python Language…

    2023 · github.com

  7. 7

    Instant no-code app and dynamic API for any SQL database

    2021

  8. 8VD

    If you have a cloud-hosted database, read on: Visual DB was designed for you. Visual DB is the fastest way to create data entry forms for your database: Starting with an Excel spreadsheet, you can import your data into the database and create a great-looking form in under 10 minutes. Watch this video: https://youtu.be/6rVD5rmrjN8 Visual DB is a comprehensive SaaS frontend for your database. In addition to data entry forms, Visual DB also has a spreadsheet-like interface for inserting and updating data in your database. You can also build interactive reports using Visual DB.…

    2024 · visualdb.com

  9. 9HF
  10. 10
    8base211

    Bring powerful apps to market fast - 8base GraphQL Backend

    2020

  11. 11

    Convert any databases to APIs

    2020

  12. 12

    Your journey to master pragmatic GraphQL in JavaScript

    2018

  13. 13DU

    I built Duck-UI, a web-based SQL editor that runs DuckDB entirely in your browser via WebAssembly. No backend required. The Problem: Every time I needed to query csv, parquet, or even to play with SQL, I had to either: (a) spin up a Jupyter notebook (b) use the CLI (c) upload to a hosted service. Friction at every step (TOO MUCH to load a csv or even to test some sql (study)... The Solution: DuckDB's WASM runtime lets us run SQL analysis client-side. Load CSV/JSON/Parquet files from disk or URL, write SQL, get results instantly. Data stays on your machine. What It Does: SQL editor…

    Oct 2025 · demo.duckui.com

  14. 14
    restdb.io131

    Simple online NoSQL database backend

    2016

  15. 15VD

    Hey HN! We are Jonathan & Guy, and we are happy to share a project we’ve been working on. ChartDB is a tool to help developers and data analysts quickly visualize database schemas by generating ER diagrams with just one query. A unique feature of our product is AI-Powered export for easy migration. You can give it a try at https://chartdb.io and find the source code on GitHub. Next steps ---> More AI. We’d love feedback :)

    2024 · github.com

  16. 16
    DBngin133

    Free all-in-one database version management tool 🛠️

    2018

  17. 17
    Chartbrew159

    One dashboard to view, create and share your data

    2020

  18. 18
    RelateDB140

    Offline-first database schema designer in your browser

    Jan 2026

  19. 19
    TABLUM.IO159

    Turn CSV, XML & JSON into a live analysis-ready SQL database

    2023

  20. 20WS

    Hello fellow hackers! I'm excited to share the launch of WhoDB by Clidey. We are hoping to redefine the user experience with database management. Going away from the LLMs hype, we really just want to make developers' lives better! WhoDB is written in Golang, is lightweight, and supports a variety of database backends (PostgreSQL, MySQL, SQLite3, MongoDB, & Redis). WhoDB offers: * Better UX: Intuitive and easy-to-use interface. * Faster Performance: Built with GoLang for exceptional speed and table virtualization in the Frontend. * Schema Visualization: Interactive graphs to visualize your…

    2024 · github.com

  21. 21
    APIQ88

    Simple and powerful CMS for developers

    2017

  22. 22

    Generate arduous database queries in a snap

    2023

  23. 23NC

    Hi, founders! We’ve actually launched quite some time ago, but (semi)pivoted a few times along the way. Jet Admin is an app builder for creating internal tools, admin panels, dashboards, external portals, and so on without coding. You can connect to any backend, assemble a UI through the visual builder, and set up data binding, transformations, conditionals, etc. through the point-and-click interface. If you need to, you can create custom HTTP, SQL queries, make data transformations with JS, and embed custom UI components. We believe that product, data, operations teams should be able to…

    2022 · jetadmin.io

  24. 24TT

    Hi, my name is Anguel and I am one of the developers of WhoDB (https://github.com/clidey/whodb) I am not a fan of the dbeaver, beekeeper, adminer, etc experience because they are bloated, ugly, and at best okay but not great. Hence why I started working on WhoDB. The approach: - browser-based (chrome/firefox) - no bloat - jupyter notebook-like experience (Scratchpad) - built-in AI co-pilot with ollama (local) or openai/anthropic We just shipped query history and replay (time travel?) to the Scratchpad. Would love for you to check it out and give some feedback…

    2025

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