google-taxonomy-matcher | Matches a category of Google 's Taxonomy to product
kandi X-RAY | google-taxonomy-matcher Summary
kandi X-RAY | google-taxonomy-matcher Summary
google-taxonomy-matcher is a Python library. google-taxonomy-matcher has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Matches a category of Google’s Taxonomy to product that is described in any kind of text data. It parses an input csv file (product.csv) and assigns one of the categories that are found in Google’s taxonomy and writes the result back to another csv file (product.matched.csv).
Matches a category of Google’s Taxonomy to product that is described in any kind of text data. It parses an input csv file (product.csv) and assigns one of the categories that are found in Google’s taxonomy and writes the result back to another csv file (product.matched.csv).
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Quality
Security
License
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Support
google-taxonomy-matcher has a low active ecosystem.
It has 43 star(s) with 35 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of google-taxonomy-matcher is current.
Quality
google-taxonomy-matcher has 0 bugs and 0 code smells.
Security
google-taxonomy-matcher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
google-taxonomy-matcher code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
google-taxonomy-matcher is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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google-taxonomy-matcher releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
google-taxonomy-matcher saves you 62 person hours of effort in developing the same functionality from scratch.
It has 161 lines of code, 6 functions and 1 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed google-taxonomy-matcher and discovered the below as its top functions. This is intended to give you an instant insight into google-taxonomy-matcher implemented functionality, and help decide if they suit your requirements.
- Match a category .
- Given a list of matches find the best match category .
- Load taxonomy file
- Create an index for a product .
- Extract the category from a string .
- Safely get value from row .
Get all kandi verified functions for this library.
google-taxonomy-matcher Key Features
No Key Features are available at this moment for google-taxonomy-matcher.
google-taxonomy-matcher Examples and Code Snippets
No Code Snippets are available at this moment for google-taxonomy-matcher.
Community Discussions
No Community Discussions are available at this moment for google-taxonomy-matcher.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install google-taxonomy-matcher
You can download it from GitHub.
You can use google-taxonomy-matcher like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use google-taxonomy-matcher like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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