bokeh-bottlepy | Deploy your data visualization with bokeh on internet

by pythonlibrary Python Version: Current License: MIT

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

kandi X-RAY | bokeh-bottlepy Summary

bokeh-bottlepy is a Python library. bokeh-bottlepy 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.

This project is the example code for the article The baseline of the web site powered by bottle] is from this great work: bottle-bootstrap. The data visualization is implemented with bokeh, as bokeh provides very great embed functionalities, It can generate javascript and div code with a simple python method call. With the SimpleTemplate Engine that the bottle provides, we can plug the code snippets in the HTML template very easily. The pre-processed dataset is also included in this repo.

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Support

bokeh-bottlepy has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

bokeh-bottlepy has no issues reported. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of bokeh-bottlepy is current.

Quality

bokeh-bottlepy has no bugs reported.

Security

bokeh-bottlepy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

bokeh-bottlepy 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

bokeh-bottlepy 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.

Top functions reviewed by kandi - BETA

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

Generate AQI data from a DataFrame .
draw the month data for a given month
Draw daily daily AqI .
Render the main chart .
Read data from the source .
Sends a CSS file .
Sends a js file .

Get all kandi verified functions for this library.

bokeh-bottlepy Key Features

No Key Features are available at this moment for bokeh-bottlepy.

bokeh-bottlepy Examples and Code Snippets

No Code Snippets are available at this moment for bokeh-bottlepy.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install bokeh-bottlepy

You can download it from GitHub.
You can use bokeh-bottlepy 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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