natto-py | py combines the Python programming language | Natural Language Processing library

by buruzaemon Python Version: 1.0.1 License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | natto-py Summary

natto-py is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. natto-py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install natto-py' or download it from GitHub, PyPI.

natto-py combines the Python programming language with MeCab, the part-of-speech and morphological analyzer for the Japanese language.

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Quality

Security

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Support

natto-py has a low active ecosystem.

It has 72 star(s) with 12 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 49 have been closed. On average issues are closed in 55 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of natto-py is 1.0.1

Quality

natto-py has no bugs reported.

Security

natto-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

natto-py is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

natto-py releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed natto-py and discovered the below as its top functions. This is intended to give you an instant insight into natto-py implemented functionality, and help decide if they suit your requirements.

Parse command line options .
Parses the given text .
Returns a ffi . ffi .
Initialize mecab .
Returns the library path .
Return the character set .
Generator for splitter support .
Build options string .
Convert bytes to strings .
String representation of the object .

Get all kandi verified functions for this library.

natto-py Key Features

No Key Features are available at this moment for natto-py.

natto-py Examples and Code Snippets

No Code Snippets are available at this moment for natto-py.

Community Discussions

Trending Discussions on natto-py

How can I use non-Python dependencies for my Django Zappa project?

QUESTION

How can I use non-Python dependencies for my Django Zappa project?

Asked 2017-Nov-27 at 19:56

I'm using a Python package called natto-py which requires a non-python Japanese tokeniser called MeCab.

Is it possible to use this for my Zappa project? How can MeCab be installed on Lambda (since pip does not work)?

Django 1.10 & Python 3.5

...

ANSWER

Answered 2017-Nov-27 at 19:56

Just drop the binary in the same directory as your zappa project and zappa will zip it up and ship it to Lambda.

Since you are compiling your own binary, I would strongly recommend using a local docker environment for zappa to more closely match the AWS Lambda environment.

Also if your binary is big and will make your Lambda package bigger than 50MB then be sure to use the slim_handler option.

Source https://stackoverflow.com/questions/47502218

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

Vulnerabilities

No vulnerabilities reported

Install natto-py

You can install using 'pip install natto-py' or download it from GitHub, PyPI.
You can use natto-py 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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