superelasticsearch | extended version of the official Elasticsearch Python client

by wingify Python Version: Current License: MIT

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

kandi X-RAY | superelasticsearch Summary

superelasticsearch is a Python library. superelasticsearch 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.

superelasticsearch is utility library that extends a particular version of elasticsearch library to provide some more utility functions on top of it to make using Elasticsearch even easier.

Support

Quality

Security

License

Reuse

Support

superelasticsearch has a low active ecosystem.

It has 60 star(s) with 6 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

superelasticsearch has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of superelasticsearch is current.

Quality

superelasticsearch has 0 bugs and 0 code smells.

Security

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

superelasticsearch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

superelasticsearch is licensed under the MIT License. This license is Permissive.

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

Reuse

superelasticsearch 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.

It has 570 lines of code, 40 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Execute bulk operation
Update bulk document
Create a new index
Add or create a bulk operation
Delete a document

Get all kandi verified functions for this library.

superelasticsearch Key Features

No Key Features are available at this moment for superelasticsearch.

superelasticsearch Examples and Code Snippets

No Code Snippets are available at this moment for superelasticsearch.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install superelasticsearch

You can download it from GitHub.
You can use superelasticsearch 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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