12 Components & Libraries
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With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization. Scale up with Dash Enterprise when your Dash app is ready for d…
A one stop reports engine with batteries included. Let's start by a "Group by" report. This will generate a report how much quantity and value was each product sold within a certain time. With this c…
Daily Stock Forecasts optimizes and ranks machine learning models to predict the intraday movement of the stock market for the top 10 US Equities by Market Cap and a number of popular indicies. Every…
In addition to the built-in package documentation there are vignettes with more information on getting started and additional examples:
It presents grouping of alerts, labels/annotations exclusion and a Teams' alert retry policy among its key features. Other options to start the service are: There are two things you need to bear in m…
...entities should not be multiplied without necessity -- William of Ockham (c. 1287–1347) For many countries (China, USA, United Kingdom, European Union, Russia, Israel etc.): Get the main parameter…
Welcome to the FastAPI & Kubernetes Tutorial Series with PyCharm & AWS EKS. Before starting up this project, make sure you have an AWS account and PyCharm installed in your machine. Make sure…
DashTools is an open-source command line toolchain for Plotly Dash that makes creating and deploying dash projects to Heroku intuitive and easy. Install with: Run the dashboard with: Create projects …
Learn how to integrate Charts.js with Django.
In order for avionix to work you will need the following command line tools
This project includes two subprojects:
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