Building event-driven applications the easy way in Go.
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Building event-driven applications the easy way in Go.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Fast web applications through dynamic, partially-stateful dataflow
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
Python Streaming DataFrames for Kafka
A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
Tenzir is the data pipeline engine for security teams.
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
A stream processing framework to build stateless applications on Kafka
The database purpose-built for stream processing applications.
Small, Fast event processing and monitoring for Erlang/OTP applications.
A general-purpose data analysis engine radically changing the way batch and stream data is processed