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-0.3.1.tar.gz (54.2 kB view details)

Uploaded Source

Built Distribution

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

flaremc-0.3.1-py3-none-any.whl (62.8 kB view details)

Uploaded Python 3

File details

Details for the file flaremc-0.3.1.tar.gz.

File metadata

  • Download URL: flaremc-0.3.1.tar.gz
  • Upload date:
  • Size: 54.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for flaremc-0.3.1.tar.gz
Algorithm Hash digest
SHA256 74023f645a61ca27c913531ba2a471780d4d0cde98df7bf030b76ee90843fb2f
MD5 4aa5d5474a70a73d35faf2d4418e3efa
BLAKE2b-256 5234a4616e49a5b24b6281625da8089d821fdeb5faf20e893701f7a71d37e079

See more details on using hashes here.

File details

Details for the file flaremc-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: flaremc-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 62.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for flaremc-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5e39254f67a44f9be8268b6eb067155f1e41dd8e119984116de90c952a3e4580
MD5 e11fa83a92379dfa41ded593906f2795
BLAKE2b-256 926d3372635fef68047615ac3569df01d347453690580dd621e28c26bd9bd088

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