xtas | Distributed text analysis suite based on Celery

by NLeSC Python Version: 3.4 License: Non-SPDX

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

kandi X-RAY | xtas Summary

xtas is a Python library. xtas has no bugs, it has no vulnerabilities, it has build file available and it has low support. However xtas has a Non-SPDX License. You can install using 'pip install xtas' or download it from GitHub, PyPI.

Distributed text analysis suite based on Celery

Support

Quality

Security

License

Reuse

Support

xtas has a low active ecosystem.

It has 93 star(s) with 31 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 33 have been closed. On average issues are closed in 102 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of xtas is 3.4

Quality

xtas has 0 bugs and 0 code smells.

Security

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

xtas code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

xtas has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

xtas releases are available to install and integrate.

Deployable package is available in PyPI.

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

xtas saves you 1021 person hours of effort in developing the same functionality from scratch.

It has 2319 lines of code, 155 functions and 44 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Fetch a document from a given document
Make a HTTP request
Returns a list of all possible candidates for the given sentence
Create a StructuredPerceptron model
Download training data
Load test data
K - Means clustering
Factory function for vectorizer
Group clusters
Run a task
Get a task from a dictionary
Create a classification pipeline
Download movie reviews
Download a ZIP file
Make the path home directory
Parse the given text
Return the README rst file
Configure Elasticsearch
Predicts the features
Run a task on Elasticsearch
Starts the semafor interaction
Return a hash of all files in a directory
Loads SentiWords from file
Compute LDA LDA
Compute the LSVD
Big k - means clustering

Get all kandi verified functions for this library.

xtas Key Features

No Key Features are available at this moment for xtas.

xtas Examples and Code Snippets

No Code Snippets are available at this moment for xtas.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install xtas

You can install using 'pip install xtas' or download it from GitHub, PyPI.
You can use xtas 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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