Library Comparison

Discord Bot Libraries: discord.js vs discord.py vs JDA vs Eris (2025)

Rank.top Team
August 2025

Picking a Discord library in 2025 comes down to language preference, performance needs, and ecosystem fit. This guide compares discord.js, discord.py, JDA, and Eris, with practical pros/cons, quick picks, and minimal code samples.

Quick Picks (TL;DR)

Fastest to Start (Web/DX)

Choose discord.js if you live in JS/TS land, need rich ecosystem, and want first-class slash commands and components.

Performance at Scale

Pick Eris or JDA for large shards/guild counts and predictable throughput. Java shops tend to favor JDA.

Data/AI & Scripting

discord.py is great for Python-first teams, quick prototyping, and ML/AI integrations.

Enterprise / Long-Running

JDA offers strong typing, JVM maturity, and stability for big services with SRE playbooks.

Feature Comparison

DX & Ecosystem

  • discord.js: huge ecosystem, TS types, components & modals, @discordjs/* utilities.
  • discord.py: clean API, discord.app_commands for slash commands.
  • JDA: strong typing, good docs, rich event system.
  • Eris: minimalist, performance-oriented, good sharding primitives.

Performance & Scale

  • Eris: efficient memory usage and event handling for large bots.
  • JDA: JVM performance, reliable under heavy load.
  • discord.js: plenty fast for most; wide production use.
  • discord.py: fine for most workloads; Python overhead under extreme scale.

Gateway & Sharding

All support Gateway v10, intents, and sharding. Consider IDENTIFY concurrency, jittered reconnect, and rate-limit handling. See our rate limits guide and scaling guide.

Voice & Media

  • discord.js: voice via @discordjs/voice.
  • JDA: voice receive/playback support via native modules.
  • Eris: community solutions available; evaluate for your use-case.
  • discord.py: voice supported; ffmpeg/opus integrations vary by host.

discord.js (JavaScript/TypeScript)

Why it shines

  • Huge ecosystem, great docs, strong TS support.
  • Excellent interactions: slash commands, components, modals.
  • Voice via dedicated package; robust REST utilities.

Considerations

  • Can be heavier than Eris for very large bots.
  • Follow Node LTS and ESM/CJS guidance per docs.

Minimal example (slash)

import { Client, GatewayIntentBits, Events } from 'discord.js';

const client = new Client({ intents: [GatewayIntentBits.Guilds] });

client.once(Events.ClientReady, () => console.log('Ready'));

client.on(Events.InteractionCreate, async (i) => {
if (!i.isChatInputCommand()) return;
if (i.commandName === 'ping') {
await i.reply('Pong!');
}
});

client.login(process.env.DISCORD_TOKEN);

Note: Register slash commands via REST on startup or out-of-band; see discord.js guide.

discord.py (Python)

Why it shines

  • Pythonic API; quick to prototype and extend.
  • discord.app_commands for slash commands.
  • Great for data/AI workflows and scripts.

Considerations

  • Lower raw throughput vs JVM/Node at massive scale.
  • Ensure event loop and HTTP timeouts are tuned.

Minimal example (slash)

import discord
from discord import app_commands

class MyClient(discord.Client):
def __init__(self):
super().__init__(intents=discord.Intents.default())
self.tree = app_commands.CommandTree(self)

async def setup_hook(self):
@self.tree.command(name="ping", description="Ping")
async def ping(interaction: discord.Interaction):
await interaction.response.send_message("Pong!")
await self.tree.sync()

client = MyClient()
client.run(os.getenv("DISCORD_TOKEN"))

JDA (Java Discord API)

Why it shines

  • JVM performance, mature concurrency, strong typing.
  • Solid slash command and component support.
  • Good docs and examples for enterprise workflows.

Considerations

  • More boilerplate; higher memory footprint than scripting langs.
  • Target modern Java LTS (e.g., 17+) for best compatibility.

Minimal example (slash)

import net.dv8tion.jda.api.JDABuilder;
import net.dv8tion.jda.api.entities.Activity;
import net.dv8tion.jda.api.events.interaction.command.SlashCommandInteractionEvent;
import net.dv8tion.jda.api.hooks.ListenerAdapter;

public class App extends ListenerAdapter {
public static void main(String[] args) {
JDABuilder.createDefault(System.getenv("DISCORD_TOKEN"))
.addEventListeners(new App())
.setActivity(Activity.playing("Hello"))
.build()
.updateCommands().addCommands(net.dv8tion.jda.api.interactions.commands.build.Commands.slash("ping", "Ping")).queue();
}
@Override public void onSlashCommandInteraction(SlashCommandInteractionEvent e) {
if (e.getName().equals("ping")) e.reply("Pong!").queue();
}
}

Eris (JavaScript)

Why it shines

  • Lightweight, fast, and pragmatic for high event volume.
  • Good sharding primitives; predictable behavior.
  • Straightforward for microservice-style bots.

Considerations

  • Smaller ecosystem and fewer examples than discord.js.
  • Check maintenance activity and TS typings for your needs.

Minimal example (slash)

const Eris = require('eris');
const bot = new Eris(process.env.DISCORD_TOKEN);

bot.on('ready', () => console.log('Ready'));

bot.on('interactionCreate', async (i) => {
if (i.type === 2 /* APPLICATION_COMMAND */ && i.data.name === 'ping') {
await i.createMessage({ content: 'Pong!' });
}
});

bot.connect();

Note: Register slash commands via REST; Eris examples often show raw endpoints or helper libs.

Which Should You Choose?

By language/team

  • Web/Node team: discord.js (TS-friendly, huge ecosystem)
  • Python shop / data-heavy: discord.py
  • Enterprise/Java: JDA
  • High-scale Node with tighter footprint: Eris

By workload

  • Heavy interactions/UI: discord.js, JDA
  • Analytics/ML integration: discord.py
  • Huge shard counts / raw throughput: Eris, JDA
  • Voice-first: discord.js, JDA

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References

Always verify requirements (Node/Java/Python versions) and specific APIs against official docs - they evolve over time.