This repository contains examples of data processing using Pathway Live Data Framework, the Python-based programming framework for easy building of realtime and reactive data products.

For a quick start, here is a handpicked selection of examples that illustrate how the Pathway Live Data Framework can be used in your streaming projects:

• Working with live data streams in Jupyter (short version GitHub and Colab | long version GitHub).
• Realtime Server Log Monitoring with Pathway Live Data Framework (Filebeat+Slack version | Logstash+Elastick version).
• Always up-to-date data indexing pipeline (GitHub | Colab).
• Detecting suspicious user activity with Tumbling Window group-by (GitHub | Colab).
• Build an LLM App with Pathway Live Data Framework (GitHub).
• Realtime Twitter Analysis App with Pathway Live Data Framework (GitHub).
• Upsampling your Signal Processing Data: transforming multiple data streams (GitHub | Colab).
• Computing PageRank (GitHub | Colab).

Don't hesitate to look for help on our website or directly on the main repo of the Pathway Live Data Framework package.