dell-research-harvard/linktransformer
A convenient way to link, deduplicate, aggregate and cluster data(frames) in Python using deep learning
This tool helps you combine, clean, and organize messy datasets by identifying and linking similar records, even if they aren't an exact match. You provide one or more tables (like customer lists or product catalogs), and it identifies duplicates, merges related entries, or groups similar items together. Data analysts, marketers, or anyone dealing with complex, unstandardized business data would find this useful for tasks like customer 360 views or inventory management.
135 stars.
Use this if you need to accurately link, deduplicate, or categorize records across different datasets where common identifiers might be inconsistent or missing.
Not ideal if your data is already perfectly clean, normalized, and only requires exact matches for joining, or if you need to process extremely large datasets without access to cloud-based LLM services.
Stars
135
Forks
13
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 15, 2026
Commits (30d)
0
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