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Node-RED is a graphical programming tool for wiring together hardware devices, APIs, and online services

Node-RED is a programming tool for wiring together hardware devices, APIs, and online services in interesting ways. It provides a browser-based editor that makes it easy to wire together flows using the wide range of nodes in the palette that can be deployed to its runtime in a single click.

There is a large library of community contributed nodes that let's you connect to all kinds of equipment and endpoints. However, writing a HTTP or MQTT node can also let you fill the gap if there is no ready-made plugin for your equipment in particular. As long as there is a documented (or reverse-engineered) API available, there is probably a way to get your data into Clarify through Node-RED.

We have made an input node for Clarify that let you utilize the flexibility and productivity provided by the Node-RED runtime and editor. This makes it easy to integrate with all kinds of systems ranging from hardware and I/O to APIs and web forms.

Why integrate with Clarify?

  • Search - let people on your team easily find data across siloed systems - always available on their phone or in the browser
  • Visualize - See trends and combine data to visually explore
  • Explore - See statistics and seamlessly move from millisecond detail to years worth of data
  • Export - Combine data sources and easily export to Excel for further data work
  • Annotate/label - Add meaning and context to your data by labeling both points and periods in time, to build training sets for your AI/ML efforts
  • Contextualize - Ensure naming, labeling, and metadata is of high quality
  • Cloud Storage - one safe space for your raw time series data built for cost-efficient speed and performance at scale
  • Integrate - break down your data silos and build one source of truth
  • Mobile apps for iOS and Android - make data easily available for your team, whenever and wherever they are. Fuel a remote work culture with live data.
  • Collaboration - share visualizations and discuss data with comments, threads and the activity feed. Add files for even more context.