Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Fancy stream processing made operationally mundane
- message-queue
- stream-processing
- streaming-data
- message-bus
Python Stream Processing
- kafka-streams
- kafka
- python
- asyncio
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
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
- cloud-native
- streaming
- rust
- real-time
Distributed stream processing engine in Rust
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
- security
- kinesis
- serverless
- terraform
Kubernetes-native platform to run massively parallel data/streaming jobs
- kubernetes
- stream-processing
- data-processing
- k8s
High-performance time-series aggregation for PostgreSQL
- realtime
- stream-processing
- analytics
- sql
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
- clickhouse
- kakfa
- sql
- redpanda
Python Stream Processing
- python
- stream-processing
- rust
- data-engineering
Python Stream Processing. A Faust fork
Probabilistic data structures for processing continuous, unbounded streams.
- bloom-filter
- go
- stable-bloom-filters
- cuckoo-filter
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
- flow
- rust
- rust-lang
- stream
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
- change-data-capture
- data
- data-collection
- data-engineering
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Low-code tool for automating actions on real time data | Stream processing for the users.
- flink
- flink-kafka
- apache-flink
- gui
Streaming reactive and dataflow graphs in Python
- python
- python3
- stream
- data-pipeline
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
- analytics
- feature-store
- fraud-detection
- python
Small, Fast event processing and monitoring for Erlang/OTP applications.