Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Repository Index
47,133 repositories indexed
1–16 of 16 · Most stars
QuestDB is a high performance, open-source, time-series database
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
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.
🌊 Online machine learning in Python
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
High-performance time-series aggregation for PostgreSQL
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.
Python Streaming DataFrames for Kafka
Lightweight real-time big data streaming engine over Apache Pekko
Low-code tool for automating actions on real time data | Stream processing for the users.
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
The database purpose-built for stream processing applications.
Scramjet Platform is a distributed runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters without exposing network ports to the public internet.