Pythran
Pythran compiles pure‑Python numeric code into optimized C++ extensions so the code runs at native C++ speed.
- •You have CPU‑bound loops (e.g., large matrix ops) written in Python that are too slow.
- •You need a speed boost but don’t want to rewrite the algorithm in C++ or Cython.
- •Your data‑science pipeline uses NumPy‑compatible code and you want a drop‑in faster binary.
```bash
# 1️⃣ Write kernel.py
cat > kernel.py <<'EOF'
# pythran export matmul(float64[][], float64[][])
import numpy as np
def matmul(a, b):
return a @ b
EOF
# 2️⃣ Compile
pythran kernel.py
# 3️⃣ Use in Python
python - <<'PY'
import numpy as np
from kernel import matmul
A = np.random.rand(1000, 1000)
B = np.random.rand(1000, 1000)
print(matmul(A, B).shape)
PY
```Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/pythran && curl -fsSL https://workflowstacks.com/api/skills/pythran/claude-skill -o ~/.claude/skills/pythran/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Pythran is a very large C++ project (~587k lines across 4213 code files, plus 429 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, BSD-3-Clause license, has a test suite.
- 1README.rstStart here — what it does and how to install it
- 2pythran/run.pyWhere the program starts running
- 3pyproject.tomlDependencies and the commands it exposes
- 4pythran/__init__.pyInside pythran/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/pythran && curl -fsSL https://workflowstacks.com/api/skills/pythran/claude-skill -o ~/.claude/skills/pythran/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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