country-lens | Country lens to to understand the states of local websites

by HTTPArchive Python Version: Current License: Apache-2.0

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

kandi X-RAY | country-lens Summary

country-lens is a Python library typically used in Institutions, Learning, Administration, Public Services applications. country-lens 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.

A python script to generate the country lens based on Chrome UX Report and HTTP Archive.

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Quality

Security

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Support

country-lens has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

country-lens has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of country-lens is current.

Quality

country-lens has no bugs reported.

Security

country-lens has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

country-lens is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

country-lens 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 available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

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

Generate lighthouse audits .
Generate a biglighter .
Generate a weight for a bigquery table .
Generate a weight month .
Generate a bigquery API endpoint .
Generate a pandas DataFrame containing the fcp metrics .
Upload dataframe to GCS .
Generates a dataframe of the effective connection count for each origin .
Generate tech used for a project .
Retrieves the latest month for a given country .

Get all kandi verified functions for this library.

country-lens Key Features

No Key Features are available at this moment for country-lens.

country-lens Examples and Code Snippets

No Code Snippets are available at this moment for country-lens.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install country-lens

Check config file at config.json and update the value for country code and which month dataset you want to generate.
Run python setup.py first. This script will generate some data that will update the latest local origins in a country.
Run the monthly script python monthly.py to generate your monthly data. You need to run the script every month whenever you want to update the data with the latest one.
The script will automatically upload the generated data to Google Cloud Storage in CSV and JSON format with public access setting so you can use it later for your app or Google Data Studio. Check your Google Cloud Storage bucket to see all the generated files.

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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