Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
Repository Index
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Building event-driven applications the easy way in Go.
- watermill
- event-driven
- event-sourcing
- sagas
Fancy stream processing made operationally mundane
- message-queue
- stream-processing
- streaming-data
- message-bus
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
Apache KIE (Knowledge Is Everything) is the home of Drools, OptaPlanner, jBPM, and Kogito.
- rule-engine
- java
- dmn
- hacktoberfest
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
A network event stream processing system, in Clojure.
- riemann
- events
- clojure
- monitoring
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
Concurrent and multi-stage data ingestion and data processing with Elixir
- elixir
- genstage
- data-ingestion
- data-processing
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
- flogo
- iot
- integration
- golang
Compositional, streaming I/O library for Scala
- scala
- stream
- streaming-computation
- fp
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
Ruby and Rails efficient Kafka processing framework
- karafka-framework
- kafka
- kafka-client
- kafka-clients
👜 Tiny and fast reactive/iterable programming library
- callbacks
- reactive
- iterables
- observables
Python Streaming DataFrames for Kafka
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
tools for working with streams of data
A compatibility layer for event-driven abstractions
- stream-processing
- future
- clojure
- async
🌊 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
Tenzir is the data pipeline engine for security teams.
- incident-response
- threathunting
- siem
- soc
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
- go
- data-integration
- etl
- data-pipeline
Compositional pipelines