linkrun | Data Engineering project done in 3 weeks | Business library

by trendsci Python Version: Current License: MIT

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

kandi X-RAY | linkrun Summary

linkrun is a Python library typically used in Web Site, Business applications. linkrun has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However linkrun build file is not available. You can download it from GitHub.

LinkRun - Data Engineering project done in 3 weeks during the Insight fellowship

Support

Quality

Security

License

Reuse

Support

linkrun has a low active ecosystem.

It has 21 star(s) with 6 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of linkrun is current.

Quality

linkrun has 0 bugs and 0 code smells.

Security

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

linkrun code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

linkrun 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

linkrun releases are not available. You will need to build from source code and install.

linkrun has no build file. You will be need to create the build yourself to build the component from source.

linkrun saves you 212 person hours of effort in developing the same functionality from scratch.

It has 519 lines of code, 10 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Update table
Returns a human - readable rank string
Return filtered list of links
Extract JSON data from a line
Extract the reference URI from a JSON line
Parse a domain URI
Extract the links from the JSON response

Get all kandi verified functions for this library.

linkrun Key Features

No Key Features are available at this moment for linkrun.

linkrun Examples and Code Snippets

No Code Snippets are available at this moment for linkrun.

Community Discussions

Vulnerabilities

No vulnerabilities reported

Install linkrun

You can download it from GitHub.
You can use linkrun 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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