Quickly connect services, API and IoT hardware
Create your workflows without coding and integrate cloud services, email, chat, e-commerce, ai and more.
Flow based editor in the cloud
A tool for wiring together online services, APIs and hardware devices.
More than thousands of nodes available
Version control of your flows
Manage your flows as projects backed by a Git repository. The flows are version controlled and securely encrypted in the Git repository.
Build your own APIs
Connect a Google Dialogflow AI powered chatbot to Telegram, Slack, Messenger or other services through your REST APIs.
Setup a frontend for a machine learning model
Monitor network and devices
Health check websites, home appliances power consumtion, 3D printer or other devices.
There is lot of resources to look into if you don’t know how to build a flow in the APIVIS editor. A good place to start is our editor that is free to try at https://demo.apivis.io. The cloud based editor is set up in the same way as your own subscription will be. On the NODE-RED home page there is a Discourse forum which is an excellent place to search for answers and ask questions and also a Slack forum. Example flows (1379) and nodes (2361) can easily be found at the flows menu on nodered.org Stack Overflow could also be a source for information if you have a more specific question.
We are also glad to help you. Use the contact form and we will answer as soon as possible.
How it works
- Setup a free github account
- Submit your email that you use for the github account
- We setup your cloud based platform in minutes
- Start building your flows
- Deploy for production
How to start a subscription
Start with creating a github account if you don't allready have one. Go to github.com and sign up. Go to settings and then developer settings and create a new OAuth app. When you are finished with that click on Login to dashboard on the pricing page or on the first page on apivis.com.
How to use Alpha Vantage, PostgreSQL and Grafana to display stock prices in Node-RED
In this tutorial, we will show how to set up Grafana, PostgresSQL and write stock price time series to the database. The time series will be displayed in the Dashboard UI with an embedded Grafana dashboard.