spark_kafka_test

by andriy-sa Python Version: Current License: No License

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

kandi X-RAY | spark_kafka_test Summary

spark_kafka_test is a Python library. spark_kafka_test has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

spark_kafka_test

Support

Quality

Security

License

Reuse

Support

spark_kafka_test has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of spark_kafka_test is current.

Quality

spark_kafka_test has no bugs reported.

Security

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

License

spark_kafka_test 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

spark_kafka_test 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.

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spark_kafka_test Key Features

No Key Features are available at this moment for spark_kafka_test.

spark_kafka_test Examples and Code Snippets

No Code Snippets are available at this moment for spark_kafka_test.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install spark_kafka_test

You can download it from GitHub.
You can use spark_kafka_test 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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