Skip to main content

End-to-end deduplication solution

Project description

Version Downloads Conda - Platform Conda (channel only) Conda Recipe Docs -


Deduplication is the task to combine different representations of the same real world entity. This package implements deduplication using active learning. Active learning allows for rapid training without having to provide a large, manually labelled dataset.

DedupliPy is an end-to-end solution with advantages over existing solutions:

  • active learning; no large manually labelled dataset required
  • during active learning, the user gets notified when the model converged and training may be finished
  • works out of the box, advanced users can choose settings as desired (custom blocking rules, custom metrics, interaction features)

Developed by Frits Hermans


Documentation can be found here


Normal installation

With pip

Install directly from PyPI.

pip install deduplipy

With conda

Install using conda from conda-forge channel.

conda install -c conda-forge deduplipy

Install to contribute

Clone this Github repo and install in editable mode:

python -m pip install -e ".[dev]"
python develop


Apply deduplication your Pandas dataframe df as follows:

myDedupliPy = Deduplicator(col_names=['name', 'address'])

This will start the interactive learning session in which you provide input on whether a pair is a match (y) or not (n). During active learning you will get the message that training may be finished once algorithm training has converged. Predictions on (new) data are obtained as follows:

result = myDedupliPy.predict(df)

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

DedupliPy-0.7.8.tar.gz (1.5 MB view hashes)

Uploaded Source

Built Distribution

DedupliPy-0.7.8-py3-none-any.whl (1.5 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page