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-0.4.8.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-0.4.8-py3-none-any.whl (79.9 kB view details)

Uploaded Python 3

File details

Details for the file flaremc-0.4.8.tar.gz.

File metadata

  • Download URL: flaremc-0.4.8.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-0.4.8.tar.gz
Algorithm Hash digest
SHA256 646cf20bc42ad7892cae11ba38c4fb9523547891cb3b6fa17d23065bc95f0773
MD5 829135acc6f1fbc6fb6e5c6fac5bc039
BLAKE2b-256 195715cfbfe494244966af8fa23516de115efd16f76450b1c09e086e764737cc

See more details on using hashes here.

File details

Details for the file flaremc-0.4.8-py3-none-any.whl.

File metadata

  • Download URL: flaremc-0.4.8-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-0.4.8-py3-none-any.whl
Algorithm Hash digest
SHA256 6b6806055619f26c0aea81c730b5eb673789def6d7ffba5a9781ebbd48c79ce7
MD5 b9236f780a3b0d2ff9b90edd115a5cab
BLAKE2b-256 9e3eab5ed31a1ce9b4b75ff663b499018ce1fea18175a9c79edf29a8014afc11

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