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-0.11.9.tar.gz (208.7 kB view details)

Uploaded Source

Built Distribution

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

flaremc-0.11.9-py3-none-any.whl (260.8 kB view details)

Uploaded Python 3

File details

Details for the file flaremc-0.11.9.tar.gz.

File metadata

  • Download URL: flaremc-0.11.9.tar.gz
  • Upload date:
  • Size: 208.7 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-0.11.9.tar.gz
Algorithm Hash digest
SHA256 ccfccb986dc94383ef4cb05411b8774253df26ac70bb76477358c7caf693059d
MD5 f5b7fbd4d7454ecf8301413e710c188f
BLAKE2b-256 e1dc219654cd3cd6a77f64cd7c4d40b59c0a06323c31cdeed289f780642e35ab

See more details on using hashes here.

File details

Details for the file flaremc-0.11.9-py3-none-any.whl.

File metadata

  • Download URL: flaremc-0.11.9-py3-none-any.whl
  • Upload date:
  • Size: 260.8 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-0.11.9-py3-none-any.whl
Algorithm Hash digest
SHA256 60872087afd8b346e0b88e362a8ef150866aa0e94a6f222f9beb2bb551073a83
MD5 3a91dbb98e6b591a6c637b0cf4bb01d5
BLAKE2b-256 9d24a88e9a546a0b0c9cfd8ff60d6874e1dd88cb2a8402fa8e01e8dd0baa137a

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

This release

0.11.9 This release

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

0.11.0

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