htrc-feature-reader | Tools for working with HTRC Feature Extraction files
kandi X-RAY | htrc-feature-reader Summary
kandi X-RAY | htrc-feature-reader Summary
htrc-feature-reader is a Python library. htrc-feature-reader has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
HTRC-Features
HTRC-Features
Support
Quality
Security
License
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Support
htrc-feature-reader has a low active ecosystem.
It has 28 star(s) with 12 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 6 open issues and 28 have been closed. On average issues are closed in 308 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of htrc-feature-reader is current.
Quality
htrc-feature-reader has 0 bugs and 0 code smells.
Security
htrc-feature-reader has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
htrc-feature-reader code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
htrc-feature-reader 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
htrc-feature-reader 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.
htrc-feature-reader saves you 965 person hours of effort in developing the same functionality from scratch.
It has 2197 lines of code, 216 functions and 18 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed htrc-feature-reader and discovered the below as its top functions. This is intended to give you an instant insight into htrc-feature-reader implemented functionality, and help decide if they suit your requirements.
- Write metadata to a file
- Open a file
- Return a subset of a dataframe
- Return a list of section features
- Parse the contents of the file
- Parse a JSON file
- Reads content
- Download a file to a pairtree
- Convert id to rsync
- Return the capal sequence of the amino acid sequence
- Make a pandas DataFrame containing line char character information
- Make a pandas dataframe containing the section features
- Get term volume counts
- Command line tool for rsync
- Read file content
- Gets end line characters
- Returns a set of all tokens in the token table
- Get the global configuration
- Make a dataframe of token counts
- Parse metadata
- Write the object to a JSON file
- Open a Stubby Tree
- Open a pairtree
- Opens an HTTP request
- Default resolver
- Return the frequency of each token in the corpus
Get all kandi verified functions for this library.
htrc-feature-reader Key Features
No Key Features are available at this moment for htrc-feature-reader.
htrc-feature-reader Examples and Code Snippets
No Code Snippets are available at this moment for htrc-feature-reader.
Community Discussions
No Community Discussions are available at this moment for htrc-feature-reader.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install htrc-feature-reader
You can download it from GitHub.
You can use htrc-feature-reader 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 htrc-feature-reader 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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