Skip to main content

Flare datapack compiler framework

Project description

Flare Logo

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!

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

flaremc-0.4.9.tar.gz (71.9 kB view details)

Uploaded Source

Built Distribution

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

flaremc-0.4.9-py3-none-any.whl (79.9 kB view details)

Uploaded Python 3

File details

Details for the file flaremc-0.4.9.tar.gz.

File metadata

  • Download URL: flaremc-0.4.9.tar.gz
  • Upload date:
  • Size: 71.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for flaremc-0.4.9.tar.gz
Algorithm Hash digest
SHA256 334d81eee895c4062bdba8c3ec71cf27853cd102625bc75c1ffe9f1df7df334e
MD5 5fb34522592e0f4918a15412012ac22f
BLAKE2b-256 6031b58f73333554bba6b1b970100ceb0b21aebbf0925895db97882bcf6c114c

See more details on using hashes here.

File details

Details for the file flaremc-0.4.9-py3-none-any.whl.

File metadata

  • Download URL: flaremc-0.4.9-py3-none-any.whl
  • Upload date:
  • Size: 79.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for flaremc-0.4.9-py3-none-any.whl
Algorithm Hash digest
SHA256 fe684bd975c729a92669ff5cb85bf27a1fed6e103b797b0daeeb0337ff57445c
MD5 595fb399e5b723fab0f6c095e571c4aa
BLAKE2b-256 39986ebd5945a548bd657e6e609afa0ea7086edd6c1889c00278062d955a0c83

See more details on using hashes here.

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