DataMatch Enterprise 8.8 Visit pyJedAI
pyjedai.readthedocs.io
Spec sheet
- Purpose
- pyJedAI is an open-source Python framework for entity resolution and link discovery.Read 4 Oct 2026 · github.com
- 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.Read 4 Oct 2026 · pypi.org
- 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.Read 4 Oct 2026 · github.com
- Support
- The project recommends GitHub Discussions for general questions and discussions and links to its issue tracker for bugs.Read 4 Oct 2026 · github.com
- 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.Read 4 Oct 2026 · github.com
- Algorithms
- The project lists supervised and unsupervised machine-learning techniques and says its matching and blocking can use deep learning and NLP techniques.Read 4 Oct 2026 · github.com
- Embedding tools
- A tutorial documents embedding-based blocking with PyTorch and Gensim vectorizers and nearest-neighbor search using FAISS.Read 4 Oct 2026 · pyjedai.readthedocs.io
- Geospatial feature
- The documentation includes a geospatial interlinking component with spatial filtering, initialization, and verification steps.Read 4 Oct 2026 · pyjedai.readthedocs.io
- Input data
- It processes structured and semi-structured data, using pandas DataFrames as input in the documented workflow.Read 4 Oct 2026 · pyjedai.readthedocs.io
- Installation
- The project documents installation from PyPI, local Git checkout, and Docker.Read 4 Oct 2026 · github.com
- 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.Read 4 Oct 2026 · github.com
- Schema matching
- The documentation shows pyJedAI schema matching with Valentine methods including Similarity Flooding, Cupid, COMA, EmbDI, and SemProp.Read 4 Oct 2026 · pyjedai.readthedocs.io
- Workflow
- Its documented workflow covers data reading, block building and cleaning, entity matching, clustering, and results with scores and visualizations.Read 4 Oct 2026 · pyjedai.readthedocs.io
Plans and prices
pyJedAI Free Open-source Python library · Apache-2.0 license Read 4 Oct 2026 · github.com
Where Specifiction places it
- Data Deduplication Software#22 of 277.5
