Your Python code. Erlang's infrastructure.
Mix the best of Python — AI, web apps — with Erlang's distribution, concurrency, resilience, and safety.
How It Works
Two libraries that bring Python and Erlang together.
Python
AI, ML, Web Apps
Flask, FastAPI, Django
PyTorch, TensorFlow
Erlang / BEAM
Scale & Resilience
Distribution, Concurrency
Fault Tolerance, Hot Reload
See It In Action
Python code. Erlang infrastructure. Zero complexity.
Two Libraries, One Platform
Use them together or separately.
Python Integration Library
Embed Python in your Erlang applications. Call Python functions, load modules, and share data seamlessly between both runtimes.
- + Call any Python function from Erlang
- + Load Python modules dynamically
- + Automatic type conversion
- + Process pool for concurrency
HTTP & Application Server
WSGI/ASGI HTTP server with shared state, distributed RPC, pub/sub, and ML caching. Full application server for Python on Erlang.
- + WSGI & ASGI support
- + ETS shared state from Python
- + Distributed RPC across nodes
- + ML inference caching
Why Python + Erlang?
Each language excels at different things. Use both.
AI Ready
Use Python's ML ecosystem with Erlang's scale.
Distributed
Built-in clustering. No Redis or RabbitMQ needed.
Resilient
Let it crash. Supervisors restart failed processes.
No GIL
Erlang handles concurrency. Python stays simple.
Ready to Get Started?
Check out the documentation or explore the source code.