|7 days ago||10 days ago|
|European Union Public License 1.2||MIT License|
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Jupyter data analytics on real-time trading data from crypto exchanges
This works by a WebSocket client written in AutobahnPython, which stores data in zLMDB and published data in WAMP via Crossbar.io. zLMDP is memory mapped from within Jupyter, which allows direct high performance access (millions of rows/sec on PyPy!).
Crossbar.io – an open source platform for distributed and microservice apps
1 project | reddit.com/r/patient_hackernews | 7 May 20211 project | reddit.com/r/hackernews | 7 May 20213 projects | news.ycombinator.com | 7 May 2021
- Jupyter data analytics on real-time trading data from crypto exchanges
Which self hosted Pub/Sub realtime technology (websockets etc) do you use and why?
5 projects | reddit.com/r/node | 1 Apr 2021
I can find socket.io, faye, deepstream.io , autobahn-js and nchan, centrifugo. Can you also explain why you chose it and if you had troubles with some other solution?
What are some alternatives?
Flask-SocketIO - Socket.IO integration for Flask applications.
django-channels - Developer-friendly asynchrony for Django
websockets - Library for building WebSocket servers and clients in Python
django-socketio - WebSockets for Django
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
WebSocket-for-Python - [Project on Hiatus] WebSocket client and server library for Python 2 and 3 as well as PyPy (ws4py 0.5.1)
pusher django photo feed - A real-time photo feed using Django and Pusher