Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
A curated list of awesome big data frameworks, ressources and other awesomeness.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
📈 A small, fast chart for time series, lines, areas, ohlc & bars
The Time Series Visualization Tool that you deserve.
🌊 Online machine learning in Python
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
React data visualization library for streaming, networks, and AI-assisted development
Smoothie Charts: smooooooth JavaScript charts for realtime streaming data
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Python Stream Processing
Python Streaming DataFrames for Kafka
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
WebRTC for Jupyter notebook/lab
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
Docker container for Kafka - Spark Streaming - Cassandra
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.