Data Pipelines

Ambrosia

Tool for cleaning up LLM datasets with a focus on Go language.

Status
UnmaintainedNo commits in 1184 days.
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier
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What it is

Ambrosia is a developer tool designed to assist in cleaning and managing large language model (LLM) datasets. Written in Go, it provides a streamlined approach for developers looking to optimize their datasets for better performance and accuracy. Despite its limited release, Ambrosia has garnered attention for its simplicity and effectiveness in dataset management. The tool is open-source under the MIT license, allowing developers to contribute and customize it to fit their specific needs.

Specialized in cleaning LLM datasets with a Go-based approach.

When it fits — and when it doesn’t

A good fit for

  • Developers working with LLM datasets

    Specialized features for cleaning and optimizing LLM datasets

  • Go developers

    Written in Go, making it easier to integrate and extend for Go projects

Look elsewhere if

  • Teams needing robust support and frequent updates

    Limited community and infrequent updates

  • Projects requiring a mature tool

    Emerging tool with low adoption and single contributor

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Very low npm downloads

    Only 8 weekly downloads on npm

  2. 02

    Single contributor

    GitHub shows only one contributor

  3. 03

    No recent updates

    Last commit was in 2023

What it does well

  • Open-source under MIT license

    GitHub repository indicates MIT license

  • Focused on LLM dataset cleaning

    GitHub description specifies LLM dataset cleaning

  • Written in Go

    GitHub repository lists Go as the primary language

Pricing

Free tier
Yes
Paid from
—
Model
N/A
Enterprise plan
No

Pricing last confirmed Sep 27, 2026.

Performance benchmarks

How Fast Is It?

Set up Ambrosia

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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