Lilac
A Python tool for searching, cleaning, and quantifying datasets before training an LLM.
At a glance
3.9 out of 5
Scored by Alex after real useOur verdict
Lilac is a Python tool, installed via pip, for searching, quantifying, and editing large datasets before they go into an LLM, with built-in PII and duplicate detection and semantic search. Its faster hosted compute tier, Lilac Garden, is still waitlisted rather than generally available. It's aimed at data and ML practitioners comfortable working in Python, not teams wanting a fully no-code interface.
✓What it does well
✕Where it falls short
Key features
Questions about Lilac
What is Lilac?
Lilac is a Python tool, installed with pip, for searching, cleaning and quantifying large datasets before they are used to train an LLM. It offers semantic and keyword search, automatic flagging of PII, duplicates and language, data clustering, and editing and comparing fields within a dataset.
Is Lilac free?
Lilac is listed as free, with a free tier and no paid plan. The vendor's site is offline, so no current price was found, and the faster hosted compute tier, Lilac Garden, is still on a waitlist rather than generally available.
What is Lilac Garden?
Lilac Garden is Lilac's faster hosted compute tier, which can cluster a million data points in about 20 minutes. It is still waitlisted rather than generally available, which the reviewer lists among Lilac's shortcomings.
Who is Lilac for?
Toolio lists Lilac as best for ML teams cleaning data before training. It is aimed at data and ML practitioners comfortable working in Python, not non-technical business users or teams wanting a no-code tool that needs no install.
How does Toolio rate Lilac?
Alex scores Lilac 3.9 out of 5 after real use, in a review checked on 3 Oct 2026. The reviewer praises its semantic and keyword search and built-in data checks, while noting the Python install it requires and the waitlisted Garden tier.