![]() ![]() Node make dev: Builds the library without the extensions compiler. Node make build: Builds the entire library, including the extensions Use node make help to list all available commands for the BokehJS build Building BokehJS #įor building, BokehJS relies on a custom tool similar to gulp. ![]() However, things might not work as intended, and some tests will not work. It is possible to work on BokehJS using different platforms and versions. Should be installed and configured on your system.ĭeveloping BokehJS requires the following minimum versions:Ĭhrome/Chromium browser 110+ or equivalentīokeh officially supports the following platforms for development and testing: To build and test BokehJS locally, follow the instructions in This requires the ESLint extension for VSCode and ESLint version 8 or above Interpolated strings ( `Bokeh $, "eslint.workingDirectories" : Use template literals (template strings) for multiline, tagged, and Quotes in cases where they help you avoid escaping quotation marks Use double quotes ( "string") for strings by default. Some guidelines and tips to keep in mind when working on BokehJS:ĭo not use for-in loops, especially unguarded by hasOwnProperty() Useįor-of loop in combination with keys(), values() and/orĮntries() from the core/util/object module instead. Make sure to run node make lint or node make lint -fix before committing to the Bokeh repository.Īlso, review the surrounding code and try to be consistent with the existing bk-plot orīokehJS doesn’t have an explicit style guide. All CSS classes for Bokeh DOMĮlements are prefixed with bk. less files in theīokehjs/src/less/ directory. The CSS definitions for BokehJS are contained in several. Some of the tools within your IDE might work better with the BokehJS source Set the working folder of your IDE to the bokehjs directory. The BokehJS source code is located in the bokehjsĪll further instructions and shell commands assume that bokehjs/ is The Bokeh repository contains Bokeh’s Python code as well as the JavaScript code SeeīokehJS for more information on creating visualizationsĭirectly with BokehJS. In addition to using BokehJS to create visualizations based on JSON data, youĬan also use BokehJS as a standalone JavaScript library. Additionally, this combination enables you to do almostĪll data handling with Python and use large and streaming server-side data with In Python while taking advantage of all the interactivity offered by JavaScript This combination of Python and JavaScript allows you to define a visualization JavaScript objects to render the visualization. On the browser side, BokehJS deserializes this JSON data andĬreates JavaScript objects based on this information. ![]() On the Python side, Bokeh serializes the attributes of each plot element object The central building blocks of all Bokeh visualizations are objects based onīokeh’s models. This library is written primarily in TypeScriptĪnd is one of the unique things about the Bokeh plotting system. BokehJS is the in-browser client-side runtime library that users of Bokeh ![]()
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