No. 3 of 27 ·Data Deduplication Software

pyJedAI

Windows · Linux · Self-hosted

Freedom report

Two barsScore 6.4

Free tierA free tier is on its own pricing page
Open codeNo open-source code on record
Runs widely2 of 6 device platforms
DocumentedPlans, terms and facts published

pyJedAI is ranked #3 of 27 in data deduplication software on Freedom251. It runs on Linux, Self-hosted, Windows. There is a free plan.

pyJedAI plans and pricing

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pyJedAI Free Open-source Python library · Apache-2.0 license github.com · 4 Oct 2026

Compared on data deduplication software

Fuzzy matching: Yes
API access: Yes

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The record

Purpose: pyJedAI is an open-source Python framework for entity resolution and link discovery.
Input data: It processes structured and semi-structured data, using pandas DataFrames as input in the documented workflow.
Workflow: Its documented workflow covers data reading, block building and cleaning, entity matching, clustering, and results with scores and visualizations.
Algorithms: The project lists supervised and unsupervised machine-learning techniques and says its matching and blocking can use deep learning and NLP techniques.
Embedding tools: A tutorial documents embedding-based blocking with PyTorch and Gensim vectorizers and nearest-neighbor search using FAISS.
Schema matching: The documentation shows pyJedAI schema matching with Valentine methods including Similarity Flooding, Cupid, COMA, EmbDI, and SemProp.
Geospatial feature: The documentation includes a geospatial interlinking component with spatial filtering, initialization, and verification steps.
Installation: The project documents installation from PyPI, local Git checkout, and Docker.
Operating systems: The project says pyJedAI has been tested on Windows and Linux and requires Python 3.8 or later; Windows also requires Microsoft Visual C++ 14.0.
Security: The repository security policy lists version 0.0.x as supported for security updates and directs users to report bugs through an issue or discussion.
Support: The project recommends GitHub Discussions for general questions and discussions and links to its issue tracker for bugs.
Intended users: The project describes pyJedAI as intended for both expert and novice users and identifies developers, IT, and science/research audiences in its PyPI classifiers.
Maker: The project identifies itself as a research project by the AI-Team of the Department of Informatics and Telecommunications at the University of Athens.
Price from: Free

Where it ranks on Freedom251

Best Data Deduplication Software in 2026#3 of 27

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Sources

github.com/AI-team-UoA/pyJedAI· checked 4 Oct 2026
pyjedai.readthedocs.io/en/latest/tutorials/Demo.html· checked 4 Oct 2026
pyjedai.readthedocs.io/en/latest/tutorials/pyTorchWorkflow.htm· checked 4 Oct 2026
pyjedai.readthedocs.io/en/latest/tutorials/SchemaMatching.html· checked 4 Oct 2026
pyjedai.readthedocs.io/en/latest/tutorials/Spatial.html· checked 4 Oct 2026
github.com/AI-team-UoA/pyJedAI/blob/main/SECURITY.· checked 4 Oct 2026
pypi.org/project/pyjedai/· checked 4 Oct 2026