The high-level TCP library Python never had — sync, thread-friendly, zero dependencies
Project description
Veltix
The high-level TCP library Python never had.
Sync, thread-friendly, zero dependencies : TCP done right.
Veltix handles framing, threading, handshake, routing, and reconnection
so you can focus on your application logic.
77k msg/s • 0.035ms latency • 4KB idle • 2x throughput vs threading
Mature & tested - 261+ tests · CI on Python 3.8-3.14 · 10+ releases
Raw Socket vs Veltix
Echo server with raw sockets (41 lines):
import socket
import threading
def handle_client(conn, addr):
while True:
data = conn.recv(1024)
if not data:
break
conn.sendall(data)
conn.close()
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.bind(("0.0.0.0", 8080))
server.listen(5)
while True:
conn, addr = server.accept()
threading.Thread(target=handle_client, args=(conn, addr)).start()
Same thing with Veltix (11 lines):
from veltix import Server, ServerConfig, ClientInfo, Response, MessageType, Request
ECHO = MessageType(code=200, name="echo")
server = Server(ServerConfig(host="0.0.0.0", port=8080))
sender = server.get_sender()
@server.route(ECHO)
def on_echo(client: ClientInfo, response: Response):
sender.send(Request(ECHO, response.content), client=client.conn)
server.start()
No manual framing. No thread management. No boilerplate.
What you get out of the box:
- Message framing: no more
recv()loops and buffer handling - Protocol routing:
@server.route(MY_TYPE)instead ofif/elifchains - Automatic handshake: HELLO/HELLO_ACK with version compatibility
- Built-in ping/pong: bidirectional latency measurement, zero config
- Auto-reconnect: configurable retry with disconnect state callbacks
- Message integrity: CRC32 verification on every message
- Request/Response:
send_and_wait()with timeout and correlation - Thread-safe callbacks: slow handlers never block reception
- Client tagging: attach metadata, broadcast to groups
- Integrated logger: colorized, rotating, thread-safe
Designed for: LAN tools, multiplayer games, real-time dashboards, custom protocols, IPC, remote tooling, file transfer.
Table of Contents
- Raw Socket vs Veltix
- Installation
- Quick Start
- Backend Comparison: Threading vs Async
- Features
- Performance
- When NOT to use Veltix
- Comparison
- Built with Veltix
- Roadmap
- Documentation
- Contributing
- License
Installation
pip install veltix
Requirements: Python 3.8+, no additional dependencies.
Quick Start
Server:
from veltix import Server, ServerConfig, ClientInfo, Response, MessageType, Request
CHAT = MessageType(code=200, name="chat")
server = Server(ServerConfig(host="0.0.0.0", port=8080))
sender = server.get_sender()
@server.route(CHAT)
def on_message(client: ClientInfo, response: Response):
print(f"[{client.addr[0]}] {response.content.decode()}")
sender.broadcast(Request(CHAT, response.content), server.get_all_clients_sockets())
server.start()
input("Press Enter to stop...")
server.close_all()
Client:
from veltix import Client, ClientConfig, Response, MessageType, Request
CHAT = MessageType(code=200, name="chat")
client = Client(ClientConfig(server_addr="127.0.0.1", port=8080))
@client.route(CHAT)
def on_message(response: Response):
print(f"Server: {response.content.decode()}")
client.connect()
client.get_sender().send(Request(CHAT, b"Hello Server!"))
input("Press Enter to disconnect...")
client.disconnect()
python server.py
python client.py # In a separate terminal
Backend Comparison: Threading vs Async
Veltix lets you switch between two socket backends via SocketCore. Pick the one that fits your use case.
| Criteria | Threading (SocketCore.THREADING) |
Async (SocketCore.ASYNC) |
|---|---|---|
| Model | One thread per client | Single-threaded event loop (selectors) |
| Best for | Simple apps, < 50 clients, predictable loads | High concurrency, 100+ clients, variable loads |
| Concurrent stress | ~37k msg/s | ~77k msg/s (2x) |
| Idle memory | 46 KB server + 36 KB per client | 4 KB server + 12 KB per client |
| Latency | 0.032 ms | 0.035 ms |
| Debugging | Straightforward (stack traces = threads) | Harder (event loop internals) |
Quick rule of thumb:
- Few clients, simple logic, want easy debugging? Use
THREADING. - Many clients, high throughput, memory-conscious? Use
ASYNC.
from veltix import SocketCore
server = Server(ServerConfig(socket_core=SocketCore.THREADING)) # or .ASYNC
Performance
Benchmarked on Python 3.14.5 : 12-core CPU, 30.5 GB RAM, Linux (loopback).
| Metric | Threading | Async |
|---|---|---|
| Concurrent stress (100 clients) | 37,676 msg/s | 76,929 msg/s |
| Burst throughput | 52,109 / 41,327 | 52,296 / 41,343 |
| Average latency | 0.032 ms | 0.035 ms |
| Idle server memory | 46 KB | 4 KB |
| Per client memory (avg) | 36 KB | 12 KB |
| FPS simulation (64 players @ 64Hz) | 4,488 msg/s | 4,488 msg/s |
Full benchmark details, methodology, and how to run them yourself : PERFORMANCE.md
When NOT to use Veltix
Veltix is great for TCP, but not every problem is a TCP problem.
- HTTP/REST APIs: use Flask, FastAPI, or Django REST Framework
- Browser clients: Veltix speaks raw TCP, not WebSocket; use
websocketsor Socket.IO - Async-first codebases: Veltix is sync by design; use
asynciodirectly if your whole project is async - Ultra high throughput (>100k msg/s per connection): consider a compiled language for the hot path
- Single request-response: if you just need to fetch something once,
requestsorurllibis simpler
Everything else? Veltix has you covered.
Comparison
| Feature | Veltix | socket |
asyncio |
Twisted |
|---|---|---|---|---|
| Simple API | ✓ | ✗ | ~ | ✗ |
| Zero dependencies | ✓ | ✓ | ✓ | ✗ |
| No async required | ✓ | ✓ | ✗ | ✗ |
| Message framing | ✓ | ✗ | ✗ | ~ |
| Message integrity | ✓ | ✗ | ✗ | ✗ |
| Automatic handshake | ✓ | ✗ | ✗ | ✗ |
| Request/Response | ✓ | ✗ | ~ | ✓ |
| Message routing | ✓ | ✗ | ✗ | ~ |
| Auto-reconnect | ✓ | ✗ | ~ | ✓ |
| Non-blocking callbacks | ✓ | ✗ | ✓ | ✓ |
| Built-in ping/pong | ✓ | ✗ | ✗ | ✗ |
| Client tags | ✓ | ✗ | ✗ | ✗ |
| Swappable backends | ✓ | ✗ | ✗ | ✗ |
| Integrated logger | ✓ | ✗ | ~ | ✓ |
Built with Veltix
Projects using Veltix in production:
- Nexo : Fast LAN file transfer tool CLI + GUI.
Uses Veltix's TCP server, client tags, route decorators, and
send_and_wait()for reliable chunked file transfers with concurrent connection handling.
Built something with Veltix ? Open a PR or start a discussion to add your project.
Documentation
Contributing
Contributions are welcome. Please read CONTRIBUTING.md before submitting a pull request.
- Bug reports : Open an issue
- Discussions : Join the Discord
- Pull requests : Follow the contribution guide
License
MIT License : see LICENSE for details.
Links
- GitHub : NytroxDev/Veltix
- PyPI : pypi.org/project/veltix
- Documentation : https://nytroxdev.github.io/Veltix/
- Discord : discord.gg/jwjEV5eze7
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