Building event-driven applications the easy way in Go.
-
Updated
Jul 3, 2025 - Go
Building event-driven applications the easy way in Go.
Fancy stream processing made operationally mundane
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
high performance JSON encoder/decoder with stream API for Golang
A lightweight stream processing library for Go
Kubernetes-native platform to run massively parallel data/streaming jobs
🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
A stream processing API for Go (now with generic type support)
Build platforms that flexibly mix SQL, batch, and stream processing paradigms
Kasper is a lightweight library for processing Kafka topics.
VectorSQL is a free analytics DBMS for IoT & Big Data, compatible with ClickHouse.
TalariaDB is a distributed, highly available, and low latency time-series database for Presto
The serverless framework purpose-built for event streaming applications.
Pluck text in a fast and intuitive way 🐓
High performance data aggregating storage
A server that pulls and parses MySQL binlog, pushs change data into different sinks like Kafka.
Golang Kafka consumer and producer example
Machine is a workflow/pipeline library for processing data
A Go port of the Java Streams API. Type-safe and functional Go Streams processing for Go 1.18+.
A blazingly fast event stream processing library powering the reveald event processing daemon.
Add a description, image, and links to the stream-processing topic page so that developers can more easily learn about it.
To associate your repository with the stream-processing topic, visit your repo's landing page and select "manage topics."