Skip to main content

Initialize a production-ready Discord.py bot in just 4 lines of code. Smart and automated command syncing, preconditions (and its presets), easy-to-use in-Discord dashboard, and more. A Dopamine Studios project.

Project description

Dopamine Framework

InstallFeaturesComparisonQuick StartReport Bug

Dopamine Framework is a framework for discord.py which allows you to initialize a production-ready Discord bot in just 4 lines of code. In technical terms, this is can be described as a "Flexible" Boilerplate Framework (not to be confused with opinionated boilerplate framework). It is designed to streamline the development of scalable Discord applications by automating the process of registering commands and simplify the process of creating them, diagnosing the bot, and various other utilities such as a paginator helper and "Private View" helpers which let only the user who initiated the interaction to interact with the components like buttons.

A Dopamine Studios product.


Installing

Use Python 3.12 or higher:

# Linux/MacOS
python3 -m pip install -U dopamine-framework
# Windows
py -3 -m pip install -U dopamine-framework

Features

1. Smart Command Syncing

The framework includes a Command Registry that compares local command states with remote Discord API states. This ensures that global and guild-specific slash commands are only synced when changes are detected, preventing unnecessary API overhead and rate-limit triggers.

2. Dopamine Commands decorator with Preconditions

The @dopamine_commands.command decorator replaces the standard discord.py version, allowing you to define permissions and cooldowns in a single line.

  • Simplified Syntax: Define name, description, permissions, and cooldowns within one decorator.
  • Implicit Global Cooldown: Every command is protected by the bot's global rate limit by default.
  • Group Support: Use dopamine_commands.Group to apply permissions or cooldowns to an entire category of subcommands at once.
from dopamineframework import dopamine_commands

@dopamine_commands.command(
    name="ban",
    permissions_preset="moderator",
    global_cooldown=True
)
async def ban_member(interaction: discord.Interaction, member: discord.Member):
    await member.ban()
    await interaction.response.send_message(f"{member.display_name} has been banned.")

3. Precondition Decorators

If you prefer using standard app_commands, you can use the standalone @preconditions decorators to enforce rules dynamically.

  • Permission Presets: Use pre-defined roles like "admin", "moderator", or "support" instead of manual permission bitfields.
  • Advanced Logic: Includes has_permissions_any (pass if user has one of many) and has_permissions (must have all).
  • Smart Rate Limiting: Easily implement command-specific or bot-wide global cooldowns to prevent spam.
Preset Required Permissions
"bot_owner" Restricts usage to the bot owner/team owners.
moderator Manage Messages, Kick Members, Ban Members
admin Administrator
giveaways Manage Guild, Manage Messages
automation Manage Guild, Manage Messages, Manage Channels
manager Manage Guild, Manage Roles, Manage Channels
support Manage Messages, Read Message History
security View Audit Log, Moderate Members
community Manage Expressions, Manage Threads, Create Public Threads
technical Manage Webhooks, Manage Guild

4. In-Discord Owner Dashboard

No need for terminal access/SSH. This simple to use and feature-rich dashboard for bot owners allows you to unload/reload cogs on the fly, restart the bot, or check logs, accessed using /od. This allows bot owner(s) to manage, diagnose the bot right within Discord itself. This dashboard allows the bot to run idefinitely without restarts:

  • Cog Management: Dynamic loading, unloading, and reloading of cogs.
  • Power State: Remote shutdown and process-level restarts.
  • Logs: Real-time retrieval of log files via the Discord UI.
  • Manual Command Syncs: Sync commands manually globally or within only the current guild.

5. Diagnostics

The built-in Diagnostics "cog" (module) provides real-time monitoring of the bot's health, including:

  • Latency: High precision API, Heartbeat, and Round-trip latency monitoring.
  • Resource Utilization: CPU and RAM usage tracking via psutil.
  • Graphs: Generate graphs for the bot's latency for visual performance auditing.
  • Host Device Metrics: Integration with system sensors to report host location and battery status, if available.

6. Built-in Logging Backend

  • A robust Logging Manager utilizing aiosqlite that can be plugged into any feature of your bot to implement a logging system, such as for mod logs, action logs, etc.

Comparison (with Sapphire Framework and standard discord.py)

Feature Dopamine Framework Sapphire (js/ts) discord.py
Easy Setup
(minimal boilerplate)

(Lots of boilerplate)
Preconditions Support
Presets for Permission Checks
in Preconditions
No tantrums over different structure
Python's ease of use
Smart Commands Sync
(Built-in)

(Through plugins)

(not included/standard)
In-Discord Dashboard
(Built-in)
Latency Graphs
(Built-in)
Scalability*
Fast Iteration
Strict TypeScript Rules
Built-in Resource Monitoring
Is it JS, tho?
Wins Imaginary Benchmarks
Gives you that Dopamine rush?
(Built-in)

*Scalability refers to ability to run without problems when the bot is in tens of thousands of servers or more. While it's a common myth that "Python is bloated", that's not true in the context of Discord bots. The real bottleneck in popular Discord bots always comes down to network, not code execution time or memory usage.


Implementation Example

To initialize a bot using the Dopamine Framework, follow the following example:

import discord
from dopamineframework import Bot

bot = Bot(command_prefix="?", cogs_path="your cogs/modules folder path here*", logging_path="path to .sqlite, .db, or .db3 file; only define if you want to use this logging backend.", default_diagnostics=True, intents=discord.Intents.default()) # If no cogs folder is defined, it will default to "cogs". If no logging path, logging will be disabled.

bot.run("YOUR_BOT_TOKEN_HERE")

*Note: All .py files will be attempted to be loaded in the folder. It's recommended to only use the defined path for cogs/extensions/modules.


Requirements

  • discord.py
  • aiosqlite
  • psutil
  • Pillow
  • geocoder

License & Attribution

Dopamine Framework is licensed under the Apache License 2.0.

How to Credit

While you are free to use this framework for private or commercial bots, I require explicit credit. Please include a link to this repository or a mention of "Dopamine Framework" in:

  1. Your project's README or documentation.
  2. Your bot's info/credits command (for example /about or /help).

Example: "Built with Dopamine Framework"

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dopamine_framework-2.2.2.tar.gz (27.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dopamine_framework-2.2.2-py3-none-any.whl (34.6 kB view details)

Uploaded Python 3

File details

Details for the file dopamine_framework-2.2.2.tar.gz.

File metadata

  • Download URL: dopamine_framework-2.2.2.tar.gz
  • Upload date:
  • Size: 27.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for dopamine_framework-2.2.2.tar.gz
Algorithm Hash digest
SHA256 15e3596c13322b17fa22a37de3eb5a0b6f5d8a84f9956747b711414edcfd2c3e
MD5 0dabb4f7559344daea75e55f26507e74
BLAKE2b-256 9ce24c5de09082e5709c3394e81335cbebd725b829c57ff12cf14a8afc7f9d29

See more details on using hashes here.

Provenance

The following attestation bundles were made for dopamine_framework-2.2.2.tar.gz:

Publisher: publish.yml on dopaminestudios/dopamine-framework

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dopamine_framework-2.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for dopamine_framework-2.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c11219ee743064ed0d25d626ef41de86e43f8be189cc6538cd445956f8b9a3ab
MD5 c7f2bbeb0a063ccf000a4a6bf1c8a782
BLAKE2b-256 710785b82ca2e5ee0fecd8416fd67484d8e0ab8424a6dd576ec3e69a1ea715ce

See more details on using hashes here.

Provenance

The following attestation bundles were made for dopamine_framework-2.2.2-py3-none-any.whl:

Publisher: publish.yml on dopaminestudios/dopamine-framework

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page