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Alternatives

Products that do what CH-UI - Data is better when we see it! does

Self-hosted ClickHouse workspace with SQL, AI copilot & ops

  1. 1CU

    CH-UI is an open-source web interface for managing and interacting with ClickHouse databases. Key features include an advanced SQL editor with IntelliSense, real-time data visualization, and comprehensive monitoring capabilities. Built with TypeScript and featuring IndexedDB-based caching, it's designed to handle large datasets efficiently. Available as a Docker image for quick deployment.

    2025 · github.com

  2. 2CL

    Me with my friend Vitaly Ludvichenko made an experiment to combine ClickHouse server and client to make a self-contained program running a database engine and processing data without a server: https://github.com/ClickHouse/ClickHouse/pull/150 Development continued in the past 6 years, and now clickhouse-local becomes a swiss-army knife for data processing. Say "ffmpeg" for datasets and more. It can resemble textql, octosql, dsq, duckdb, trdsql, q, datafusion-cli, spyql, but has better capabilities and performance. Here is a tutorial:…

    2023 · clickhouse.com

  3. 3

    All your work: tasks, docs, chat, and AI with 100% context

    Dec 2025 · clickup.com

  4. 4CU

    Hi HN, I've been building CH-UI, an open-source ClickHouse workspace. Today I'm releasing v2, which is a complete rewrite from scratch. v1 was a React SPA served via Docker. v2 is a single Go binary with an embedded Svelte frontend — download, run, open browser. No Docker, no Node, no runtime dependencies. What it does: - Multi-tab SQL editor with autocomplete - Database/table explorer with data preview - Saved queries - Tunnel architecture: run `ch-ui server` on one machine and `ch-ui connect` next to your ClickHouse — secure WebSocket tunnel, no VPN needed - Self-update (`ch-ui…

    Feb 2026 · ch-ui.com

  5. 5

    One command line to add UI components to your project

    Oct 2025

  6. 6

    Copilot-native dev environment, designed for everyday tasks

    2024

  7. 7

    Make AI apps respond with interactive UI in real-time

    Sep 2025 · thesys.dev

  8. 8SO

    We just released a major upgrade to SigNoz with support for Logs management based on ClickHouse. Would love to get any feedback from the community here on what you think and any questions you may have for us Many big companies like Uber and Cloudflare have been shifting to ClickHouse as their main workhorse for Logs management seeing much better performance. for e.g Cloudflare recently shifted from Elastic to ClickHouse and are seeing 8x improvement in memory/cpu resource requirement in ingestion. This is our first release with Logs support and we have added support for: - Filtering…

    2022 · github.com

  9. 9

    Remember anything with a real-time, on-device AI assistant

    2024 · pieces.app

  10. 10

    Copilot's response to Claude Code and Codex CLI

    Sep 2025

  11. 11DU

    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

  12. 12AO

    Hey HN, We are excited to announce that we’ve open-sourced AGX, a fast and lightweight data explorer for ClickHouse. It is designed for developers and analysts who want to leverage SQL-native querying in an IDE-like environment. Here’s what makes AGX stand out: - Built on ClickHouse (accessible via embedded chdb or remote instance). - IDE-like user interface: features tabs, a Monaco editor, and a fast keyboard workflow. - Zero setup required: no infrastructure or complex dashboards to manage. - Ideal for exploring live blockchain data, while also flexible enough for general ClickHouse usage…

    2025 · github.com

  13. 13

    Generate SQL with AI for business and data teams

    2023

  14. 14
    Logtail246

    Query your logs like you query your database

    2021

  15. 15

    Turn your best AI prompts into one-click tools in Chrome

    Apr 2026 · blog.google

  16. 16
    Dubo114

    AI powered SQL workstation with copilot and chat

    2024

  17. 17CO

    Hey HN! Mike & Warren here from HyperDX (now part of ClickHouse)! We’ve been building ClickStack, an open source observability stack that helps you collect, centralize, search/viz/alert on your telemetry (logs, metrics, traces) in just a few minutes - all powered by ClickHouse (Apache2) for storage, HyperDX (MIT) for visualization and OpenTelemetry (Apache2) for ingestion. You can check out the quick start for spinning things up in the repo here: https://github.com/hyperdxio/hyperdx ClickStack makes it really easy to instrument your application so you can go…

    2025 · github.com

  18. 18
    Marble280

    Super simple headless CMS

    Dec 2025 · marblecms.com

  19. 19

    Component library with personalization and AB testing

    2025

  20. 20AD

    I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…

    May 2026 · github.com

  21. 21WB

    Hey hn! I'm one of the co-founders of highlight.io, an open source monitoring tool. Today we're sharing a ClickHouse-based logging solution we've been working on. We wanted to showcase how we built it and share how you could try it out to give feedback. Since we started working on highlight.io, we've been hyper-focused on "cohesion", or ensuring that when you install your monitoring stack, all of the resources in that stack (user interactions, requests, traces, logs, etc.) are connected in a consumable way. We've written up more about our philosophy on this here [1]. We started building…

    2023 · github.com

  22. 22

    The AI ClickHouse® expert you don't have to hire

    2025

  23. 23DT
  24. 24

    Work AI across platforms

    2025

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