In PushMetrics, all work happens in low-code Notebooks.
It's where you build your workflows, and add tasks and logic.
Notebooks can be executed and scheduled.
PushMetrics' low-code Notebooks are inspired by Python notebooks, which have become an important tool in data science, machine learning, and scientific computing fields.
However, our low-code notebook approach is an evolution of the traditional data notebook concept, tailored to users who prefer a more visual approach to data analysis, manipulation, and workflow automation without the need for writing code. It provides an environment where users can interact with data and perform computational tasks using primarily graphical user interfaces, pre-built functions, and minimal custom coding using simple Jinja templating syntax.
You can simply add new text blocks by hitting
enter in any block - just like in a regular text document.
To add other task types, simply select the type from the "Add Block" menu.
You can also add tasks in between existing blocks using the
+ menu, next to every block.
Notebooks are executable documents.
You can trigger an execution of the entire Notebook by clicking on the Execute button in the top navigation bar.
You can also run executable blocks individually:
At the top of the page, you can:
The sidebar navigation has 3 main elements:
Notebook pages can be accessed in editing or in viewing mode.
Viewing mode is automatically used when you don't have editing permission, or someone else is currently editing a Notebook page.
You can simply switch between modes if you have editing permissions:
Every new notebook page gets a randomly assigned cover image - just to make things a little more colorful.
You can easily change cover images and provide your own ones using a link to the image or by searching through Unsplash.
You can also remove the cover image if you want a page without it.