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Install Quix Streams using pip

You'll now install the Quix Streams client library using pip.

You'll need to make sure your system has Python 3.8+ available:

python3 --version

Step 1: Install Quix Streams

To install Quix Streams with pip:

python3 -m pip install quixstreams


If you already have Quix Streams installed, make sure you are using the latest version with python -m pip install quixstreams -U or python3 -m pip install quixstreams -U, depending on how your system is set up.

Step 2: Create a simple app

You'll now create a simple app to test your installation. You'll connect to a Quix public Kafka broker and consume and print messages.

Create a new file containing the following code:

from quixstreams import Application
import uuid

# Connect to the public Quix hosted broker to consume data
app = Application(
    broker_address="",  # Kafka broker address
    consumer_group=str(uuid.uuid4()),  # Kafka consumer group
    producer_extra_config={'enable.idempotence': False}

input_topic = app.topic("demo-onboarding-prod-chat", value_deserializer='json')

sdf = app.dataframe(input_topic)

sdf["tokens_count"] = sdf["message"].apply(lambda message: len(message.split(" ")))
sdf = sdf[["role", "tokens_count"]]

sdf = sdf.update(lambda row: print(row))

Save the code in a file named

Step 3: Run the code

Now run the code:


You are now consuming data from the demo-onboarding-prod-chat topic and processing it in real time.

You have installed Quix and tested that it's working.

Next steps

  • Start Building a pipeline!

    Start building your first stream processing pipeline locally on the command line with Quix CLI.

    Quix CLI Quickstart


  • Continue learning about Quix Streams

    Continue learning how to use Quix Streams library and its capabilities.

    Quix Streams Quickstart