Package Health Score

64 / 100

security
No known security issues
popularity
Popular
maintenance
Inactive
community
Sustainable

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piyo
38

Popularity

Popular

GitHub Stars: 1.81K
Forks: 363
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pyLDAvis, we found that it has been starred 1,808 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Apr 23, 2023
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
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0
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0
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License Risk: 0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 78
Open PR: 2
Last Release: 2 years ago
Last Commit: 8 months ago

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

An important project maintenance signal to consider for pyLDAvis is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 40
Funding: No

With more than 10 contributors for the pyLDAvis repository, this is possibly a sign for a growing and inviting community.

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

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Package

Python Versions Compatibility: >=3.9

Age: 10 years
Latest Release: 2 years ago
Dependencies: 10 Direct
Versions: 26
Maintainers: 2
Wheels: OS Independent

Readme

pyLDAvis

Python library for interactive topic model visualization. This is a port of the fabulous R package by Carson Sievert and Kenny Shirley.

pyLDAvis is designed to help users interpret the topics in a topic model that has been fit to a corpus of text data. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization.

The visualization is intended to be used within an IPython notebook but can also be saved to a stand-alone HTML file for easy sharing.

Note: LDA stands for latent Dirichlet allocation.

Installation

Stable version using pip:

pip install pyldavis
Development version on GitHub

Clone the repository and run python setup.py

Usage

The best way to learn how to use pyLDAvis is to see it in action. Check out this notebook for an overview. Refer to the documentation for details.

For a concise explanation of the visualization see this vignette from the LDAvis R package.

Video demos

Ben Mabey walked through the visualization in this short talk using a Hacker News corpus:

Carson Sievert created a video demoing the R package. The visualization is the same and so it applies equally to pyLDAvis:

Visualizing & Exploring the Twenty Newsgroup Data

pyLDAvis dependencies

funcy gensim jinja2 joblib numexpr numpy pandas scikit-learn scipy setuptools

FAQs

What is pyLDAvis?

Interactive topic model visualization. Port of the R package. Visit Snyk Advisor to see a full health score report for pyLDAvis, including popularity, security, maintenance & community analysis.

Is pyLDAvis popular?

The python package pyLDAvis receives a total of 48,663 weekly downloads. As such, pyLDAvis popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pyLDAvis well maintained?

We found indications that pyLDAvis is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is pyLDAvis safe to use?

The python package pyLDAvis 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 25 December-2024, at 06:06 (UTC).

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pyLDAvis

Interactive topic model visualization. Port of the R package. For more information about how to use this package see README

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Package

Readme

pyLDAvis

Installation

Usage

Video demos

More documentation

pyLDAvis dependencies

FAQs

What is pyLDAvis?

Is pyLDAvis popular?

Is pyLDAvis well maintained?

Is pyLDAvis safe to use?

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Readme

pyLDAvis

Installation

Usage

Video demos

More documentation

pyLDAvis dependencies

FAQs

What is pyLDAvis?

Is pyLDAvis popular?

Is pyLDAvis well maintained?

Is pyLDAvis safe to use?

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Source Code

Open Source

Container

Config

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