keyword_recommender | Gives you related keywords for SEO or ASO

by whoislewys Jupyter Notebook Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | keyword_recommender Summary

keyword_recommender is a Jupyter Notebook library. keyword_recommender has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Gives you related keywords for SEO or ASO

Support

Quality

Security

License

Reuse

Support

keyword_recommender has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

keyword_recommender has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of keyword_recommender is current.

Quality

keyword_recommender has no bugs reported.

Security

keyword_recommender has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

keyword_recommender is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

keyword_recommender releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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keyword_recommender Key Features

No Key Features are available at this moment for keyword_recommender.

keyword_recommender Examples and Code Snippets

No Code Snippets are available at this moment for keyword_recommender.

Community Discussions

No Community Discussions are available at this moment for keyword_recommender.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install keyword_recommender

Install Miniconda3 if you haven't already. cd into this repo on your local machine and run this command: conda env create -f environment.yml.
Install Miniconda3 if you haven't already
Clone this repo
cd into this repo on your local machine and run this command: conda env create -f environment.yml

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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