memeplotlib 0.1.0

Memes with Python's matplotlib

memeplotlib

Memes with Python's matplotlib. Create image macro memes using matplotlib for rendering and the memegen API for template discovery.

Installation

pip:

pip install memeplotlib

conda:

conda install -c conda-forge memeplotlib

Quick Start

import memeplotlib as memes

# One-liner meme from a memegen template
memes.meme("buzz", "memes", "memes everywhere")

# Save to file
memes.meme("doge", "such code", "very bug", savefig="meme.png", show=False)

Features

Functional API

import memeplotlib as memes

# Customize text styling
memes.meme("drake", "writing tests", "shipping to prod",
           font="impact", color="yellow")

# Get figure/axes back for further customization
fig, ax = memes.meme("distracted", "my project", "new framework", "me",
                      show=False)

# Use a local image as template
memes.meme("/path/to/image.jpg", "top text", "bottom text")

Object-Oriented API

from memeplotlib import Meme

# Step by step
m = Meme("buzz")
m.top("memes")
m.bottom("memes everywhere")
m.save("output.png")

# Or chained
Meme("doge").top("such code").bottom("very bug").show()

Memify Existing Plots

Turn any matplotlib figure into a meme:

import matplotlib.pyplot as plt
import memeplotlib as memes

fig, ax = plt.subplots()
ax.plot([1, 2, 3], [1, 4, 9])
memes.memify(fig, "stonks")

Global Configuration

import memeplotlib as memes

memes.config.font = "comic"
memes.config.color = "yellow"
memes.config.style = "none"  # don't auto-uppercase

Template Discovery

from memeplotlib import TemplateRegistry

reg = TemplateRegistry()
results = reg.search("dog")
all_templates = reg.list_all()

Documentation

Full documentation including a tutorial, user guide, and API reference is available at brianckeegan.github.io/memeplotlib.

To build the docs locally:

pip install -e ".[docs]"
cd docs
make html
open _build/html/index.html

How It Works

1. Templates are fetched from the memegen API (blank background images + metadata)
2. Images are cached locally for offline reuse
3. Text is rendered using matplotlib's text system with patheffects.Stroke for the classic outlined meme look
4. An Impact-like font (Anton) is bundled as a fallback for systems where Impact isn't installed

Dependencies

• matplotlib >= 3.0.0
• requests
• numpy
• Pillow
• platformdirs

Requires Python 3.10+.

License

MIT