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Flare 🔥

Programmatic Minecraft Datapacks in Python

Write Minecraft logic using full Python power: scores, NBT, execute chains, recursion, and more. Compile to optimized datapacks instantly.


Read the full documentation at: flare.oguzhanumutlu.com

What is Flare?

Flare is a modern framework for building Minecraft datapacks natively in Python. It bridges the gap between Python's high-level elegance and Minecraft's native mcfunction performance. You can use standard Python syntax, variables, and math, and Flare automatically translates and compiles your logic into highly-optimized, scoreboard-driven datapacks.

Installation

pip install flaremc

Quick Start: Advanced Math & NBT

With Flare, writing advanced datapack logic is incredibly clean. Below is a quick example of defining variables, doing advanced floating-point math natively in Minecraft, running terminal commands, and interacting with NBT.

from flare import namespace, score, math, nbt, expand

# Define your datapack namespace
namespace("my_pack")

# Declare a scoreboard variable and initialize it to 10
x = score(10)

# Compute math dynamically using native scoreboard approximations (Taylor series, CORDIC, etc.)
# All complex math compiles to highly optimized raw scoreboard operations!
result = math.sin(x) * math.sqrt(x)

# Print the dynamic float result back to the game seamlessly
print(f"The result is: {result}")

# Interact seamlessly with Minecraft's NBT environment
player_data = @a.Data[dict]

# Flare smartly manages conditional blocks and inlines commands when appropriate
if expand(x > 5):
    say "X is greater than 5!"
    kill @e[type=zombie, distance=..10]

Compile & Run

To compile your datapack to a .mcfunction structure, simply run:

flare main.py

To compile and immediately run it using the built-in emulator:

flare main.py --run

Documentation

Ready to unleash the full power of Python in Minecraft?

Check out the interactive playground and full documentation at flare.oguzhanumutlu.com!

Acknowledgements

[!NOTE] AI assistance was used in creating the documentation, and specifically for code completion within the source code.

Key dates

PyPI data
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  • Released:
Newer release available (0.12.7)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for OguzhanUmutlu from gravatar.com OguzhanUmutlu

Requires

Python >=3.10

Provides Extra

cli beet

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