Moose – OSS framework to build analytical back ends with ClickHouse
Run unbiased simulations at scale to understand how coding agents use and discover products
Moose – OSS framework to build analytical back ends with ClickHouse launched on April 23, 2025 with 76 votes, #557 of 7,818 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Moose is an open-source framework for developers building analytical back ends using ClickHouse. It provides tools and structure to streamline the process of setting up data infrastructure and analytics pipelines. The framework is designed to reduce setup complexity and accelerate development when working with ClickHouse as the underlying data engine. It targets engineers who need to quickly construct robust analytical systems without managing repetitive infrastructure tasks from scratch.
written from the facts on this page · September 2026
From the sources
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Define your experiment, lay out your tests, pick your agent, then let us do the work of managing infra and data. Run locally for free, or automatically parallelize runs at massive scale on managed infrastructure with AX Cloud. Every run starts from a clean, isolated sandbox, with your custom setup. No bias. No context pollution. No cheating. Test with Claude, Codex, Cursor, and more. Bring your own LLM keys, or use our managed agents at market prices. Agent transcripts, sandbox data, timelines and comparisons turn every simulated session into evidence you can inspect and share. Agent transcripts, OTEL logs, errors, commands: everything in the system recorded, versioned, and warehoused for…from docs.fiveonefour.com
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I built an open-source data pipeline tool in Go2024 · github.com · ▲200Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
ScratchDB – Open-Source Snowflake on ClickHouse2023 · github.com · ▲261Hello! For the past year I’ve been working on a fully-managed data warehouse built on Clickhouse. I built this because I was frustrated with how much work was required to run an OLAP database in prod: re-writing my app to do batch inserts, managing clusters and needing to look up special CREATE TABLE syntax every time I made a change. I found pricing for other warehouses confusing (what is a “credit” exactly?) and worried about getting capacity-planning wrong. I was previously building accounting software for firms with millions of transactions. I desperately needed to move from Postgres to…
Source: Show HN post ↗
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