Autolabel, a Python library to label and enrich text data with LLMs
Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
Autolabel, a Python library to label and enrich text data with LLMs launched on June 20, 2023 with 153 votes, #261 of 4,655 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Autolabel is an open-source Python library that automates text data labeling and enrichment using large language models. It is designed for machine learning and data science teams who need clean, labeled datasets but face constraints in time and cost. The library works with any LLM and requires minimal code—less than five lines—to label text datasets, offering an alternative to manual labeling at lower cost and faster turnaround.
written from the facts on this page · September 2026
From the sources
Label, clean and enrich text datasets with LLMs. Contribute to refuel-ai/autolabel development by creating an account on GitHub.
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