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!

Acknowledgements

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

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • 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

Report project as malware

Download files

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

Source Distribution

flaremc-0.11.0.tar.gz (204.5 kB view details)

Uploaded Source

Built Distribution

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

flaremc-0.11.0-py3-none-any.whl (256.2 kB view details)

Uploaded Python 3

File details

Details for the file flaremc-0.11.0.tar.gz.

File metadata

  • Download URL: flaremc-0.11.0.tar.gz
  • Upload date:
  • Size: 204.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for flaremc-0.11.0.tar.gz
Algorithm Hash digest
SHA256 9318d6d9d5c5a1f7123b13b43ffc18fa216dcdb425e5cdfea6aa0368ff0563a1
MD5 397b88378e7fe59e9b114ffb08e6077b
BLAKE2b-256 d15b42d0563cfb696805c31be0cc6b787b535889690fd73b56cc04356e8e50d6

See more details on using hashes here.

File details

Details for the file flaremc-0.11.0-py3-none-any.whl.

File metadata

  • Download URL: flaremc-0.11.0-py3-none-any.whl
  • Upload date:
  • Size: 256.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for flaremc-0.11.0-py3-none-any.whl
Algorithm Hash digest
SHA256 03cf0996e88c243a5ef1320a4302742d74ae8dbbe87dd3bb3f29ac720d208a52
MD5 87cf24bc0821bb85180cfc64f39390a7
BLAKE2b-256 0bb0f45f87398cd0b07fd3a22b100e010110cf54c80bb90a44b3fb805c09099b

See more details on using hashes here.

Release history Release notifications | RSS feed

0.12.7

2 files

0.12.6

2 files

0.12.5

2 files

0.12.4

2 files

0.12.3

2 files

0.12.1

2 files

0.12.0

2 files

0.11.11

2 files

0.11.10

2 files

0.11.9

2 files

0.11.8

2 files

0.11.7

2 files

0.11.6

2 files

0.11.5

2 files

0.11.4

2 files

0.11.3

2 files

0.11.2

2 files

0.11.1

2 files

This release

0.11.0 This release

2 files

0.10.15

2 files

0.10.14

2 files

0.10.13

2 files

0.10.12

2 files

0.10.11

2 files

0.10.10

2 files

0.10.9

2 files

0.10.8

2 files

0.10.7

2 files

0.10.6

2 files

0.10.5

2 files

0.10.4

2 files

0.10.3

2 files

0.10.2

2 files

0.10.1

2 files

0.10.0

2 files

0.9.15

2 files

0.9.14

2 files

0.9.13

2 files

0.9.12

2 files

0.9.11

2 files

0.9.10

2 files

0.9.9

2 files

0.9.8

2 files

0.9.7

2 files

0.9.6

2 files

0.9.5

2 files

0.9.4

2 files

0.9.3

2 files

0.9.2

2 files

0.9.1

2 files

0.9.0

2 files

0.8.9

2 files

0.8.8

2 files

0.8.7

2 files

0.8.6

2 files

0.8.5

2 files

0.8.4

2 files

0.8.3

2 files

0.8.2

2 files

0.8.1

2 files

0.8.0

2 files

0.7.9

2 files

0.7.8

2 files

0.7.7

2 files

0.7.6

2 files

0.7.5

2 files

0.7.4

2 files

0.7.3

2 files

0.7.2

2 files

0.7.1

2 files

0.7.0

2 files

0.6.9

2 files

0.6.8

2 files

0.6.6

2 files

0.6.5

2 files

0.6.4

2 files

0.6.3

2 files

0.6.2

2 files

0.6.1

2 files

0.6.0

2 files

0.5.9

2 files

0.5.8

2 files

0.5.7

2 files

0.5.6

2 files

0.5.5

2 files

0.5.4

2 files

0.5.3

2 files

0.5.2

2 files

0.5.1

2 files

0.5.0

2 files

0.4.9

2 files

0.4.8

2 files

0.4.7

2 files

0.4.6

2 files

0.4.4

2 files

0.4.3

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.9

2 files

0.3.8

2 files

0.3.7

2 files

0.3.6

2 files

0.3.5

2 files

0.3.4

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

0.3.0

2 files

0.2.9

2 files

0.2.8

2 files

0.2.7

2 files

0.2.6

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page