zeromq/pyzmq

Features

• Distributed Messaging Libraries - Serves as a high-performance library for implementing distributed communication patterns across network transports.
• Event Loop Integrations - Integrates ZeroMQ socket polling mechanisms with Python asynchronous event loops like asyncio.
• Inter-Process Communication - Facilitates high-speed data exchange and coordination between separate local and remote software processes.
• Distributed Data Transport Layers - Provides a framework for sending multipart messages across diverse hardware architectures using configurable sockets.
• Distributed Messaging Cores - Implements a low-level messaging engine for high-performance communication between distributed nodes.
• Non-Blocking Socket I/O - Executes asynchronous socket reads and writes using pollers to prevent execution stalls.
• C Bindings - Provides high-performance Python bindings to the low-level C-based ZeroMQ library.
• ZeroMQ Python Bindings - Provides Python language access to the high-performance ZeroMQ asynchronous messaging queue.
• Asynchronous Messaging - Implements non-blocking communication patterns between distributed components using asynchronous messaging.
• Inter-Process Communication - Provides high-speed messaging channels for exchanging data between multiple local processes.
• Structured Message Serialization - Implements serialization and deserialization of complex data structures into formats like JSON for network transmission.
• Authenticated Peer Connections - Verifies and authorizes peer connections using configurable callback mechanisms to ensure secure communication channels.
• Multipart Message Framing - Supports the management and manipulation of multipart messages, allowing access to individual frame content and metadata.
• Message Subscription Management - Provides controls to subscribe or unsubscribe sockets from specific data topics to manage incoming message flow.
• Message Stream Handlers - Streams messages through an event loop to trigger asynchronous callbacks upon data arrival.
• Network Traffic Routing - Enables message forwarding between sockets using proxies and tunnels to decouple network topologies.
• Traffic Proxying - Implements proxies to forward messages between sockets, decoupling network topologies and managing traffic flow.
• Peer Communication Security - Verifies and authorizes connections between distributed nodes using secure callback mechanisms.
• Optimized Buffer Reads - Reads incoming messages directly into pre-allocated buffers using optimized memory copy techniques.
• Multipart Message Framing - Supports the management of multipart messages as single logical units to handle complex data envelopes.
• Zero-Copy Buffers - Provides zero-copy buffer access to read incoming messages directly into pre-allocated memory.
• Message Queues - Python bindings for the ZeroMQ messaging library.

Star history