1.pathwaycom / pathway
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
+844 stars
from 61,177 · score 6.74
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2.MaterializeInc / materialize
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
- rust
- database
- sql
- streaming
- kafka
- distributed-systems
- +11 more
+140 stars
from 6,252 · score 4.95
3.hazelcast / hazelcast
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
- java
- hazelcast
- in-memory
- big-data
- scalability
- distributed
- +9 more
+99 stars
from 6,531 · score 4.61
4.karafka / karafka
Ruby and Rails efficient Kafka processing framework
- karafka-framework
- kafka
- kafka-client
- kafka-clients
- kafka-producer
- kafka-consumer
- +14 more
+30 stars
from 2,223 · score 3.43
5.faust-streaming / faust
Python Stream Processing. A Faust fork
- asyncio
- python-streaming
- kafka
- redis
- distributed-systems
+27 stars
from 1,863 · score 3.33
6.typelevel / fs2
Compositional, streaming I/O library for Scala
- scala
- stream
- streaming-computation
- fp
- functional-programming
+20 stars
from 2,436 · score 3.04
7.robinhood / faust
Python Stream Processing
- kafka-streams
- kafka
- python
- asyncio
- distributed-systems
- stream-processing
+19 stars
from 6,804 · score 3.00