Fancy stream processing made operationally mundane
- message-queue
- stream-processing
- streaming-data
- message-bus
Repository Index
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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
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
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
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 Streaming DataFrames for Kafka
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
🌊 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
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
- cep
- complex-event-processing
- open-source
- compiler
Tenzir is the data pipeline engine for security teams.
- incident-response
- threathunting
- siem
- soc
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
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
- event-driven
- generics
- go
- golang
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
- go
- data-integration
- etl
- data-pipeline
.NET Stream Processing Library for Apache Kafka 🚀
- kafka-streams-dotnet
- kafka-streams
- kafka-streams-net
- kafka
The database purpose-built for stream processing applications.
- stream-processing
- real-time
- sql
- interactive