awesome-streaming

Apache Apex

[Java] - unified platform for big data stream and batch processing

Apache Ballista

[Rust] - distributed compute platform powered by Apache Arrow

Apache Flink

[Java] - system for high-throughput, low-latency data stream processing that supports stateful computation, data-driven windowing semantics and iterative stream processing

Apache Heron (incubating)

[Java] - a realtime, distributed, fault-tolerant stream processing engine from Twitter

Apache Samza

[Scala/Java] - distributed stream processing framework that build on Kafka(messaging, storage) and YARN(fault tolerance, processor isolation, security and resource management)

Apache Spark Streaming

[Scala] - makes it easy to build scalable fault-tolerant streaming applications

Apache Storm

[Clojure/Java] - distributed real-time computation system. Storm is to stream processing what Hadoop is to batch processing

AthenaX

[Java] - Uber's Stream Analytics Framework used in production

Bytewax

[Python] - data parallel, distributed, stateful stream processing framework

Faust

[Python] - stream processing library, porting the ideas from Kafka Streams to Python

Gearpump

[Scala] - lightweight real-time distributed streaming engine built on Akka

Hazelcast Jet

[Java] - A general purpose distributed data processing engine, built on top of Hazelcast

hailstorm

[Haskell] - distributed stream processing with exactly-once semantics based on Storm

Maki Nage

[Python] - A stream processing framework for data scientists, based on Kafka and ReactiveX

mantis

[Java] - Netflix's platform to build an ecosystem of realtime stream processing applications

mupd8(muppet)

[Scala/Java] - mapReduce-style framework for processing fast/streaming data

Numaflow

[Java/Python/Go/Rust] - Kubernetes native stream processing platform with language agnostic framework. Scalable and cost-efficient

Onyx

[Clojure] - Distributed, masterless, high performance, fault tolerant data processing

Pathway

[Python] - The fastest data processing engine supporting unified workflows for batch, streaming data, and LLM applications

s4

[Java] - general-purpose, distributed, scalable, fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data

SABER

[Java/C] - Window-Based Hybrid CPU/GPU Stream Processing Engine

Scramjet Cloud Platform

[Python/JavaScript/Node.js] - data processing engine for running multiple data processing apps (sequences) written in Python, JavaScript or TypeScript

SPQR

[Java] - dynamic framework for processing high volumn data streams through pipelines

tigon

[C++/Java] - high throughput real-time streaming processing framework built on Hadoop and HBase

Teknek

[Java] - Simple elegant stream processing with interactive prototying shell SOL (Stream Operator Language) Mesos, designed for high performance data processing jobs that require flexibility & control

Trill

[.NET/C#] - Trill is a high-performance one-pass in-memory streaming analytics engine from Microsoft Research

Wallaroo

[Python] - A fast, stream-processing framework. Wallaroo makes it easy to react to data in real-time. By eliminating infrastructure complexity, going from prototype to production has never been simpler

LightSaber

[C++] - Multi-core Window-Based Stream Processing Engine. LightSaber uses code generation for efficient window aggregation

HStreamDB

[Haskell] - The streaming database built for IoT data storage and real-time processing

Kuiper

[Golang] - An edge lightweight IoT data analytics/streaming software implemented by Golang, and it can be run at all kinds of resource-constrained edge devices

[C++] - A C++17 Data Stream Processing Parallel Library for Multicores and GPUs

RisingWave

[Rust] - A PostgreSQL-compatible streaming database that is designed to build event-driven applications, real-time ETL pipelines, continuous analytics services, and feature stores for AI applications. It excels in extracting fresh and consistent insights from real-time event streams, database CDC, and time series data within sub-seconds. It unifies streaming and batch processing, enabling users to ingest, join, and analyze both live and historical data at a cloud scale

Apache Kafka Streams

[Java] - lightweight stream processing library included in Apache Kafka (since 0.10 version)

Streamiz

[C#] - a .Net Stream Processing Library for Apache Kafka

Akka Streams

[Scala] - stream processing library on Akka Actors

Daggy

[C++] - real-time streams aggregation and catching

Benthos

[Go] - Benthos is a high performance and resilient message streaming service, able to connect various sources and sinks and perform arbitrary actions, transformations and filters on payloads

FS2(prev. 'Scalaz-Stream')

[Scala] - Compositional, streaming I/O library for Scala

FastStream

[Python] - powerful and easy-to-use Python library simplifying the process of writing producers and consumers for message queues, handling all the parsing, networking and documentation generation automatically. Supports multiple protocols such as Apache Kafka, RabbitMQ and alike

monix

[Scala] - high-performance Scala / Scala.js library for composing asynchronous and event-based programs

Quix Streams

[Python] - a streaming library originally designed for the McLaren Formula 1 racing team that can process high volumes of time-series data with up to nanosecond precision using Apache Kafka as a message broker

Scramjet Node.js

[Node.js] functional reactive stream programming framework written on top of Node.js object streams +

Scramjet Python

[Python] functional reactive stream programming framework written from scratch operating on object, string and buffer streams

Scramjet C++

[C++] functional reactive stream programming framework written on top of Node.js object streams

Streamline

[Java] - Stream Analytics Framework by Hortonworks, designed as a wrapper around existing streaming solutions like Storm. Aimed to allow users to drag-and-drop streaming components to focus on business logic

StreamAlert

[Python] - Airbnb's Real-time Data Analysis and Alerting

Swave

[Scala] - A lightweight Reactive Streams Infrastructure Toolkit for Scala

Streamz

[Python] - A lightweight library for building pipelines to manage continuous streams of data; supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on

Stream Ops

[Java] - A fully embeddable data streaming engine and stream processing API for Java

Substation

[Go] - Substation is a cloud native data pipeline and transformation toolkit written in Go

SwimOS

[Rust] - A framework for building real-time streaming data processing applications written in Rust

Tributary

[Python] - A python library for constructing dataflow graphs. Supports synchronous, reactive data streams built using python generators that mimic complex event processors, as well as lazily-evaluated acyclic graphs and functional currying streams

YoMo

[Go] - An open source Streaming Serverless Framework for building Low-latency Geo-distributed system. YoMo Built atop and Functional Reactive Programming interface

Mediapipe

Cross-platform, customizable ML solutions for live and streaming media

javactrl-kafka

[Java] - An application of a stateful stream processing for workflow as Java code (microservices orchestration, business process automation, and more)

straw

[Python/Java] - A platform for real-time streaming search

storm-crawler

[Java] - Web crawler SDK based on Apache Storm

Zilla

[Java] - Cross-platform, API gateway built for event-driven architectures and streaming that supports standard protocols such as HTTP, SSE, gRPC, MQTT and the native Kafka protocol

sensorbee

[Go] - lightweight stream processing engine for IoT

Apache Edgent

[Java] - a programming model and runtime that enables continuous streaming analytics on gateways and edge devices which can work with centralized systems to provide efficient and timely analytics across the whole IoT ecosystem: from the center to the edge, opens sourced by IBM

Apache StreamPipes

[Java] - a self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams

Apache Beam

[Java, Python, SQL, Scala, Go] - unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs), open sourced by Google

coast

[Scala] - a DSL that builds DAGs on top of Samza and provides exactly-once semantics

Esper

[Java] - component for complex event processing (CEP) and event series analysis

Streamparse

[Python] - lets you run Python code against real-time streams of data via Apache Storm

summingbird

[Scala] - library that lets you write MapReduce programs that look like native Scala or Java collection transformations and execute them on a number of well-known distributed MapReduce platforms, including Storm and Scalding

Apache Kafka

[Scala/Java] - distributed, partitioned, replicated commit log service, which provides the functionality of a messaging system, but with a unique design

Apache Pulsar

[Java] - distributed pub-sub messaging platform with a very flexible messaging model and an intuitive client API

Apache RocketMQ

[Java] - distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability

AutoMQ

[Scala/Java] - cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 100% Kafka compatible. 10x cost-effective. Autoscale in seconds. Single-digit ms latency

brooklin

[Java] - a distributed system intended for streaming data between various heterogeneous source and destination systems with high reliability and throughput at scale from Linkedin (replaced databus)

camus

[Java] - Linkedin's Kafka -> HDFS pipeline

databus

[Java] - Linkedin's source-agnostic distributed change data capture system

flume

[Java] - distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data

fluvio

[Rust/WASM] - Real-time programmable data streaming platform with in-line computation capabilities

Gazette

[golang] - Distributed streaming infrastructure built on cloud storage which makes it easy to mix and match batch and streaming paradigms

[C++] - a high-performant distributed system by Facebook for streaming and storing sequential data, using a log structure

metaq

[Java] - Taobao's high available, high performance distributed messaging system

NATS streaming

[Go] - fast disk-backed messaging solution

nsq

[Go] - realtime distributed messaging platform designed to operate at scale, handling billions of messages per day

Redpanda

[C++] - Redpanda is Kafka compatible, ZooKeeper-free, JVM-free and source available

RudderStack

[Go] - an open source customer data infrastructure (segment, mparticle alternative)

suro

[Java] - data pipeline service for collecting, aggregating, and dispatching large volume of application events including log data

StreamSets Data Collector

[Java] - continuous big data ingestion infrastructure that reads from and writes to a large number of end-points, including S3, JDBC, Hadoop, Kafka, Cassandra and many others

Apache Samoa

[Java] - distributed streaming machine learning (ML) framework that contains a programing abstraction for distributed streaming ML algorithms

DataSketches

[Java] - sketches library from Yahoo!

https://github.com/numaproj/numalogic

[Numalogic] ( ) [Python] - Collection of ML models and libraries for real-time anomaly detection and forecasting on time series data. Built on Numaflow, a K8s native stream processing platform

River

[Python] - online machine learning library

streamDM

[Scala] - mining Big Data streams using Spark Streaming from Huawei

StreamingBandit

[Python] - Provides a webserver to quickly setup and evaluate possible solutions to contextual multi-armed bandit (cMAB) problems

StormCV

[Java] - enables the use of Apache Storm for video processing by adding computer vision (CV) specific operations and data model

trident-ml

[Java] - realtime online machine learning library based on Trident

yurita

[Scala] - Anomaly detection framework built on Spark Structured Streaming from Paypal

pipelinedb

[C] - An open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables

squall

[Java] - Squall executes SQL queries on top of Storm for doing online processing

StreamCQL

[Java] - Continuous Query Language on RealTime Computation System

ksqlDB

[Java] - A cloud-native, source-available purpose-built for stream processing applications

[Rust] - A source-available streaming SQL engine for maintaining materialized views on data from message brokers and databases

Siddhi

[Java] - A cloud native Streaming and Complex Event Processing engine that understands Streaming SQL queries in order to capture events from diverse data sources, process them, detect complex conditions, and publish output to various endpoints in real time

Proton

[C++] - A unified streaming and historical data analytics database in a single binary, powered by ClickHouse

storm-perf-test

[Java] - a simple storm performance/stress test

streaming-benchmarks

[Java] - Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, etc

flotilla

[Go] - Automated message queue orchestration for scaled-up benchmarking

akka

[Scala] - toolkit and runtime for building highly concurrent, distributed, and resilient message-driven application on the JVM

Apache Pekko

[Scala, Java] - Fork of Akka 2.6.x, prior to the Akka project's adoption of the Business Source License

pulsar

[Python] - Actor based event driven concurrent framework for Python

aeron

[Java/C++] - efficient reliable unicast and multicast message transport

StreamFlow

[Java] - stream processing tool designed to help build and monitor processing workflows

samza-luwak

[Java] - uses Luwak, a stored-query engine built on Lucene, to implement full-text search on streams

[Go/Node.js/Python] - A tool to embed privacy controls in your application code to detect PII as it enters and leaves your systems, preventing it from reaching unintended data streams or pipelines

Turbine

[Java] - tool for aggregating streams of Server-Sent Event (SSE) JSON data into a single stream

Nussknacker

[Scala] - A visual tool to define and run real-time decision algorithms

[Java] - real-time, fully managed and scalable data stream engine provided by AWS

[.NET] a massively scalable, fully managed, real-time, data stream engine provided by Microsoft Azure

[Java, Python, SQL, Scala] - Google's managed stream and batch data processing engine. Supports running Beam pipelines

[C++] - a distributed stream processing framework built in C++ on top of Apache

[Python/Java/Scala] - platform for distributed processing and real-time analytics. Provides toolkits for advanced analytics like geospatial, time series, etc. out of the box

[C++] - distributed processing framework and streaming machine learning library

framework for building low-latency data-processing applications that is widely used at Google

[Python/C/C++] - a platform for real-time image, video and audio processing, preferably using on edge devices or cloud

by Tyler Akidau

by Josh Fischer & Ning Wang

by Reuven Lax, Slava Chernyak, and Tyler Akidau

by Bas P. Harenslak and Julian Rutger de Ruiter