![]() Co-authored-by: Manul from Pathway <github.manul@pathway.com> GitOrigin-RevId: a0843a3712554245ead7c5b432675690f88c47f0 |
||
---|---|---|
.. | ||
notebooks | ||
projects | ||
templates/el-pipeline | ||
CODE_OF_CONDUCT.md | ||
CONTRIBUTING.md | ||
LICENSE | ||
Pathway-PyData_Global_2022.pdf | ||
README.md |
README.md
Pathway examples
This repository contains examples of data processing using Pathway, 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 Pathway 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 (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 (GitHub).
- Realtime Twitter Analysis App with Pathway (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 package.