BitSwan

This post demonstrates how easy it is to turn a BitSwan Jupyter automation—originally triggered manually by a WebFormSource—into a fully automatic process that runs on a schedule and sends the result elsewhere. In this example, we’ll show how to transform the stock calculator automation into a daily job that sends a stock performance plot to a Discord channel using a webhook. You can find the original stock automation here: StocksCalculator. If you haven’t created it yet, follow this introductory blog post. ...

This post introduces how to use BitSwan Jupyter Automations to create your first automation using a WebForm source. You’ll learn how to set up a simple automation pipeline, define a web form, and handle the data submitted through it. We will follow an automation that is present in our examples: StocksCalculator. Feel free to experiment yourself, but this following tutorial will go to detail how each component works. This tutorial will give you an example of an automation where you can select a date and the pipeline will display a graph of the several stocks and their performance at that day! ...

You can create a Bitswan workspace and run Bitswan automations anywhere whether in a VPS on your favorite cloud provider or on your environment locally! This post will run you through the process of setting up a Bitswan workspace complete with an IDE for building your automations and and a runtime system where you can deploy them with the click of a button. Prerequisities git, linux/macos environment, docker, and bitswan-workspaces Tutorial Install Bitswan Workspace CLI Linux / WSL LATEST_VERSION=$(curl -s https://api.github.com/repos/bitswan-space/bitswan-workspaces/releases/latest | grep -Po '"tag_name": "\K.*?(?=")') curl -L "https://github.com/bitswan-space/bitswan-workspaces/releases/download/${LATEST_VERSION}/bitswan-workspaces_${LATEST_VERSION}_linux_amd64.tar.gz" | tar -xz You can find the installation instructions and command for MacOS here ...