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This project allows you to source data from Twitter and run real-time ML models on the feed.

You’ll be able to analyze the messages as they happen!

How to run

Create a Quix account or log-in and visit the Samples to use this project.

Clicking Deploy on the Sample, deploys a pre-built container in Quix. Complete the environment variables to configure the container.

Clicking Edit code on the Sample, forks the project to your own Git repo so you can customize it before deploying.

Environment variables

The code sample uses the following environment variables:

  • output: This is the output topic for Twitter data.
  • twitter_bearer_token: Your Twitter bearer token.
  • twitter_search_params: The tweets to search for.



Submit forked projects to the Quix GitHub repo. Any new project that we accept will be attributed to you and you'll receive $200 in Quix credit.

Open source

This project is open source under the Apache 2.0 license and available in our GitHub repo.

Please star us and mention us on social to show your appreciation.