gutenberg-dammit | plaintext Project Gutenberg in an easy-to-use format
kandi X-RAY | gutenberg-dammit Summary
kandi X-RAY | gutenberg-dammit Summary
gutenberg-dammit is a Python library. gutenberg-dammit has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
I wanted all of plaintext Project Gutenberg in an easy-to-use format, so I made this
I wanted all of plaintext Project Gutenberg in an easy-to-use format, so I made this
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Quality
Security
License
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Support
gutenberg-dammit has a low active ecosystem.
It has 152 star(s) with 11 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 9 open issues and 1 have been closed. On average issues are closed in 77 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of gutenberg-dammit is current.
Quality
gutenberg-dammit has 0 bugs and 18 code smells.
Security
gutenberg-dammit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
gutenberg-dammit code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
gutenberg-dammit does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
gutenberg-dammit 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.
gutenberg-dammit saves you 222 person hours of effort in developing the same functionality from scratch.
It has 544 lines of code, 18 functions and 8 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed gutenberg-dammit and discovered the below as its top functions. This is intended to give you an instant insight into gutenberg-dammit implemented functionality, and help decide if they suit your requirements.
- Extract metadata from a file
- Returns the contents of a metatag tag
- Expand author tags
- Extract href and charset from html text
- Searches the metadata for the given fields
- Search the metadata for the given fields
- Load metadata from a zipfile
- Returns a zip archive of the given paths
- Return an iterator over all the text files in the given directory
- Create a tag dictionary
- Extract metadata from a PGPG file
- Convert a year string to an integer
- Get a plain text file
- Try to decode raw_text
- Clean text
- Retrieve a single file
- Print an err message to stderr
Get all kandi verified functions for this library.
gutenberg-dammit Key Features
No Key Features are available at this moment for gutenberg-dammit.
gutenberg-dammit Examples and Code Snippets
No Code Snippets are available at this moment for gutenberg-dammit.
Community Discussions
No Community Discussions are available at this moment for gutenberg-dammit.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gutenberg-dammit
You can download it from GitHub.
You can use gutenberg-dammit 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 gutenberg-dammit 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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