1.3 KiB
1.3 KiB
Pick your starting point
Choose the setup that fits your work. Both paths lead to the same Fluksio engine, with a first flow to try along the way. This is really just about a decision what you're planning to do with Fluksio.
Data science
"I have some Python code. I want to keep track of what I ran."
Install Fluksio with pip in your research environment. Turn a function into a node, record metrics and artifacts, and compare experiments. Connect to fluksio.com for the browser dashboard.
Facility automation
"I have a bunch of sensors. I want them to do something."
Start one Docker container for a local engine and browser interface, on a server, a PC or a Raspberry Pi. Build a live flow, connect your devices, and put their values on a dashboard.
Next steps
- Flows, nodes and messages explains the graph.
- The flow editor covers editing and publishing.
- The command line covers local and remote use.
- Configuration lists settings and data paths.