A libre lightweight streaming front-end for Android.
- youtube-video
- video
- newpipe
- watch
Repository Index
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Apache Kafka - A distributed event streaming platform
Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
- rocketmq
- cloud-native
- eventing
- java
Apache Pulsar - distributed pub-sub messaging system
Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")
Logstash - transport and process your logs, events, or other data
Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.
- change-data-capture
- kafka-connect
- apache-kafka
- debezium
Open-Source Web UI for Apache Kafka Management
- kafka-ui
- kafka-brokers
- kafka
- kafka-streams
TranslatedOne of the few industry-leading, fully self-developed cross-platform (windows/linux/android/iOS) streaming media cores dedicated to an ultimate experience. Through free modular combination, it supports real-time RTMP publishing, RTSP publishing, RTMP player, RTSP player, recording, multi-channel streaming media forwarding, audio/video directing, dynamic video composition, audio mixing, live interaction, a built-in lightweight RTSP service, and more. Faster than fast, a truly reliable ultra-low-latency live streaming SDK in the industry (latency as low as 100~200ms).
- rtmp-pusher
- rtmp-player
- android-rtmp
- ios-rtmp
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
- data-integration
- high-performance
- offline
- real-time
Apache Beam is a unified programming model for Batch and Streaming data processing.
- python
- java
- big-data
- beam
Apache Storm
- storm
- apache
- distributed
- streaming
JeroMQ is a pure Java implementation of the ZeroMQ messaging library, offering high-performance asynchronous messaging for distributed or concurrent applications.
- jeromq
- libzmq
- messaging
- networking
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
- data
- ingestion
- replication
- management
EventMesh is a new generation serverless event middleware for building distributed event-driven applications.
- esb
- event-driven
- event-mesh
- event-governance
🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.
Stream Processing and Complex Event Processing Engine
- streaming-data-processing
- cep
- stream-processing
- complex-event-processing
Apache InLong - a one-stop, full-scenario integration framework for massive data
- inlong
- one-stop-service
- data-streaming
- event-streaming
An extensible distributed system for reliable nearline data streaming at scale
- distributed-systems
- data-streaming
- scalability
- kafka-mirror-maker
A software library of stochastic streaming algorithms, a.k.a. sketches.
- datasketches
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
- cep
- complex-event-processing
- open-source
- compiler
A streaming JsonPath processor in Java
- jsonpath
- java
- streaming
- non-blocking
The database purpose-built for stream processing applications.
- stream-processing
- real-time
- sql
- interactive
A streaming / online query processing / analytics engine based on Apache Storm