Package Health Score

66 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Limited

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Popularity

Limited

GitHub Stars: 71
Forks: 11
Contributors: 3

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pyjedai, we found that it has been starred 71 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 11, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
C
0
H
0
M
0
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License Risk: 0
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0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 12 days ago
Last Commit: 16 days ago

Further analysis of the maintenance status of pyjedai based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that pyjedai demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 3
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like pyjedai is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 2 years
Latest Release: 12 days ago
Dependencies: 13 Direct
Versions: 19
Maintainers: 3
Wheels: OS Independent

Readme

An open-source library that leverages Python’s data science ecosystem to build
powerful end-to-end Entity Resolution workflows.

Overview

pyJedAI is a python framework, aiming to offer experts and novice users, robust and fast solutions for multiple types of Entity Resolution problems. It is builded using state-of-the-art python frameworks. pyJedAI constitutes the sole open-source Link Discovery tool that is capable of exploiting the latest breakthroughs in Deep Learning and NLP techniques, which are publicly available through the Python data science ecosystem. This applies to both blocking and matching, thus ensuring high time efficiency, high scalability as well as high effectiveness, without requiring any labelled instances from the user.

Key-Features

Input data-type independent. Both structured and semi-structured data can be processed.
Various implemented algorithms.
Easy-to-use.
Utilizes some of the famous and cutting-edge machine learning packages.
Offers supervised and un-supervised ML techniques.

Open demos are available in:

Google Colab Hands-on demo:

Install

pyJedAI has been tested in Windows and Linux OS.

Basic requirements:

Python version greater or equal to 3.8.
For Windows, Microsoft Visual C++ 14.0 is required. Download it from Microsoft Official site.

PyPI

Install the latest version of pyjedai:

pip install pyjedai

Git

Set up locally:

git clone https://github.com/AI-team-UoA/pyJedAI.git

go to the root directory with cd pyJedAI and type:

pip install .

Docker

Available at Docker Hub, or clone this repo and:

docker build -f Dockerfile

Dependencies

See the full list of dependencies and all versions used, in this file.

Status

Statistics & Info

PyPI - Downloads

Bugs, Discussions & News

GitHub Discussions is the discussion forum for general questions and discussions and our recommended starting point. Please report any bugs that you find here.

Java - Web Application

For Java users checkout the initial JedAI. There you can find Java based code and a Web Application for interactive creation of ER workflows.

JedAI constitutes an open source, high scalability toolkit that offers out-of-the-box solutions for any data integration task, e.g., Record Linkage, Entity Resolution and Link Discovery. At its core lies a set of domain-independent, state-of-the-art techniques that apply to both RDF and relational data.

Team & Authors

Konstantinos Nikoletos, Research Associate at University of Athens, Greece
Jakub Maciejewski, Research Associate at University of Athens, Greece
George Papadakis, Senior Researcher at University of Athens, Greece
Ekaterini Ioannou, Assistant Professor at Tilburg University, The Netherlands
Manolis Koubarakis, Professor at University of Athens, Greece

This is a research project by the AI-Team of the Department of Informatics and Telecommunications at the University of Athens.

License

Released under the Apache-2.0 license (see LICENSE.txt).

This project is being funded in the context of STELAR that is an HORIZON-Europe project.

pyjedai dependencies

faiss-cpu gensim matplotlib networkx nltk ordered-set pandas py-stringmatching seaborn sentence-transformers shapely tqdm transformers

FAQs

What is pyjedai?

An open-source library that builds powerful end-to-end Entity Resolution workflows. Visit Snyk Advisor to see a full health score report for pyjedai, including popularity, security, maintenance & community analysis.

Is pyjedai popular?

The python package pyjedai receives a total of 274 weekly downloads. As such, pyjedai popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pyjedai well maintained?

We found that pyjedai demonstrated a healthy version release cadence and project activity. It has a community of 3 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pyjedai safe to use?

The python package pyjedai was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 21 November-2024, at 16:30 (UTC).

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pyjedai

An open-source library that builds powerful end-to-end Entity Resolution workflows. For more information about how to use this package see README

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Package

Readme

Overview

Key-Features

Install

PyPI

Git

Docker

Dependencies

Bugs, Discussions & News

Java - Web Application

Team & Authors

License

pyjedai dependencies

FAQs

What is pyjedai?

Is pyjedai popular?

Is pyjedai well maintained?

Is pyjedai safe to use?

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Readme

Overview

Key-Features

Install

PyPI

Git

Docker

Dependencies

Bugs, Discussions & News

Java - Web Application

Team & Authors

License

pyjedai dependencies

FAQs

What is pyjedai?

Is pyjedai popular?

Is pyjedai well maintained?

Is pyjedai safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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