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No HTML, CSS, Javascript skills are required. Build rich, interactive web apps using pure Python. Broadcast live information, visualizations, and graphics using Wave's low-latency real-time server. Instant control over every connected web browser using a simple and intuitive programming model. Preview your app live as you code. Dramatically reduce the time and effort to build web apps.

...Large datasets can be rendered as bounded density or decimated views, while zooming retrieves finer details and original rows. Interactive capabilities include panning, zooming, hovering, selections, crosshairs, callbacks, and linked charts. Visual styling can be controlled with Python, CSS, or Tailwind, and charts can appear in notebooks or web applications. Finished visualizations can also be exported as HTML, PNG, SVG, or PDF.

Bowtie is a library for writing dashboards in Python. No need to know web frameworks or JavaScript, focus on building functionality in Python. Interactively explore your data in new ways! Deploy and share with others! Bowtie uses Yarn to manage node packages. If you installed Bowtie through conda, Yarn was also installed as a dependency. Yarn can be installed through conda. An early integration with Jupyter has been prototyped. I encourage you to try it out and share feedback. I hope this...

...Users can add notes to specific moments or summarize an entire day for additional context. Everything is stored and processed locally rather than uploaded to a remote service. Its browser interface is built with HTML, CSS, JavaScript, and D3 and supports both daily and overview views. Activity titles can be normalized through configurable matching rules to make reports easier to read. The original implementation targets Ubuntu and macOS and is best viewed as an experimental personal productivity tracker.

This is where web developers can get tools that can make their life easier. Web technologies and languages used contain but are not limited to HTML, XHTML, CSS, JavaScript, PHP, and AJAX. All code is extremely slim, fast running, and is W3C compliant.

It's a web representation of a ganttproject generated xml file's directory. Using python, html and css, it generates a summary and an html chart for each file. Ideal for publishing on a lan the project's status charts