WaveCord speaks both Lavalink v3 and v4 through a single, version-neutral API, with the version detected automatically on connect. The performance-critical work (WebSocket, REST, serialization, reconnect, and node management) runs in native Rust, off the Python GIL, while a thin async layer on top works with every major Discord library.
Features
- Lavalink v3 and v4 behind one API, auto-detected on connect.
- Off-GIL networking. The WebSocket, REST, JSON parsing, and v3/v4 normalization run on native tokio threads, keeping your event loop responsive under load.
- Typed events. Handlers receive real objects (
event.track.info.title), decoded straight into msgspec structs. - Library-agnostic. Adapters for discord.py, py-cord, disnake, and nextcord.
- Batteries included. Queue with auto-advance, filters and equalizer, and a typed event dispatcher.
- Plugin-ready. Search-source helpers (Spotify, Apple Music, Deezer via
LavaSrc), LavaSearch, LavaLyrics, and SponsorBlock, plus track
pluginInfoon typed events. - Survives restarts. Persist and reuse the session id and Lavalink keeps playing across a bot process restart.
- Observability. Turn the node pool into a metrics snapshot or Prometheus
text with
wavecord.metrics. - Built to scale. Multi-node pool with load balancing, automatic reconnect with backoff, session resuming, and failover.
Requirements
- Python 3.9 or newer
- A running Lavalink v3 or v4 node
- One of the supported Discord libraries (for voice)
Installation
Prebuilt wheels are on PyPI, so there is no Rust toolchain to install:
pip install wavecord
Add the Discord library you use as an extra:
pip install "wavecord[discordpy]" # or [pycord], [disnake], [nextcord]
Quick start
import discord
from discord.ext import commands
import wavecord
from wavecord.adapters.discordpy import WaveCordVoiceClient
from wavecord.dispatcher import EventDispatcher
intents = discord.Intents.default()
intents.message_content = True
bot = commands.Bot(command_prefix="!", intents=intents)
node: wavecord.Node
@bot.event
async def on_ready():
global node
node = wavecord.Node("127.0.0.1", 2333, "youshallnotpass", str(bot.user.id))
await node.connect()
dispatcher = EventDispatcher(node)
@dispatcher.on("track_end")
async def on_track_end(event): # a typed wavecord.events.Event
print("finished", event.guild_id, event.reason)
dispatcher.start()
@bot.command()
async def play(ctx, *, query: str):
vc = await ctx.author.voice.channel.connect(
cls=WaveCordVoiceClient.with_node(node)
)
result = await vc.player.search(query)
track = result["data"] if result["loadType"] == "track" else result["data"][0]
await vc.player.play(track["encoded"])
await ctx.send(f"Playing {track['info']['title']}")
bot.run("YOUR_TOKEN")
A fuller bot is in examples/music_bot.py.
Supported Discord libraries
| Library | Adapter |
|---|---|
| discord.py | wavecord.adapters.discordpy |
| py-cord | wavecord.adapters.pycord |
| disnake | wavecord.adapters.disnake |
| nextcord | wavecord.adapters.nextcord |
Performance
A Lavalink client cannot make playback itself faster, since the audio work
happens on the Lavalink server. WaveCord's edge is architectural: the WebSocket
read, JSON parse, and v3/v4 normalization run in native Rust off the GIL, so the
asyncio event loop only pays for the final msgspec decode. In a burst benchmark
against the real Rust path (500k player updates), WaveCord sustained roughly
1.35x the event throughput of an equivalent pure-Python client, and kept the
typical (median) event-loop latency about 2x lower. Batched delivery trades a
little tail latency for that throughput; drop the next_events batch size if you
prefer smoother tails. Reproduce it yourself with python benchmarks/off_gil.py.
Architecture
Python layer (asyncio, Discord adapters, dispatcher, queue, pool)
| PyO3 + pyo3-async-runtimes (Rust future <-> asyncio coroutine)
Rust core (tokio): WebSocket, REST, Protocol(v3/v4), reconnect, node manager
crates/wavecord-core: the pure-Rust engine (testable and benchmarkable alone)crates/wavecord-py: the PyO3 bindings (thin glue)python/wavecord: the public Python API and Discord-library adapters
Development
maturin develop # build the extension into the active venv
cargo test # Rust tests (no Python needed)
pytest # Python tests
To try it end to end you need a running Lavalink node (v3 or v4). Point WaveCord at it and run one of the bots in examples/.
Contributing
Contributions are welcome. Please read CONTRIBUTING.md for how to set up the project, run the tests, and open a pull request. Bug reports and feature ideas are just as valuable as code.
By taking part in this project you agree to abide by our Code of Conduct. To report a security issue, see our Security Policy.
Contributors
WaveCord · Lavalink, in Rust and Python
Documentation ·
Changelog ·
Contributing
Licensed under the MIT License · Copyright © 2026 WaveCord Contributors
1 maintainer
Metadata
1 maintainer
Release files for wavecord 1.1.0
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|---|---|---|---|
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Built distributions (wheels)
Total release size: 62.3 MB
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