pathwaycom/pathway

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

85
/ 100
Verified

Pathway helps developers build and deploy applications that process data continuously, such as real-time dashboards or intelligent assistants. It takes in live data streams from sources like Kafka or databases and produces updated analytics or AI responses. Software engineers and data engineers use Pathway to build robust, scalable data applications.

60,697 stars and 10,346 monthly downloads. Used by 2 other packages. Actively maintained with 50 commits in the last 30 days. Available on PyPI.

Use this if you need to build applications that continuously process incoming data for real-time analytics, event-driven alerts, or live AI applications like Retrieval Augmented Generation (RAG).

Not ideal if your primary need is for simple, one-off data transformations or if you prefer a low-code/no-code solution for data processing.

real-time analytics data streaming AI application development event processing data pipeline automation
Maintenance 23 / 25
Adoption 21 / 25
Maturity 25 / 25
Community 16 / 25

How are scores calculated?

Stars

60,697

Forks

1,610

Language

Python

License

Last pushed

Mar 19, 2026

Monthly downloads

10,346

Commits (30d)

50

Dependencies

38

Reverse dependents

2

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