Make Python fast without the rewrite
You shouldn't need to learn Rust, fight with Cython, or decorate every function with Numba. Epochly accelerates your Python code automatically—no changes required.
Sound familiar?
"I've spent weeks profiling and still can't find the bottleneck"
Epochly identifies and accelerates CPU-bound hotspots automatically
"Numba needs me to rewrite everything with types"
No decorators, no type hints, no refactoring—just pip install
"My code is too complex for multiprocessing"
Epochly handles threading and parallelism transparently
"I don't have time to learn Cython or Rust"
Keep writing Python. Epochly does the optimization work for you.
Three commands. That's it.
No configuration files. No framework integration. No deployment changes. Install and your existing code runs faster.
# Installpip install epochly# That's it. Your code now runs faster.python your_script.py# Check what's being optimizedpython -c "import epochly; epochly.stats()"
Your code stays yours
Epochly doesn't require decorators, type annotations, or special syntax. Write Python the way you always have.
# Your code stays exactly the sameimport numpy as np# Large array elementwise operationsdata = np.random.randn(100_000_000)result = np.sin(data) + np.cos(data) + np.sqrt(np.abs(data))# CPU only: 1,427ms# With GPU: 21ms (68x faster)# No decorators. No type hints. No rewrites.
Built for developer happiness
pip install epochly
One command to install. No compiler toolchain, no C extensions to build, no environment configuration.
Dramatically Faster
Up to 193x with JIT compilation, 70x on GPU workloads, 8x on parallel CPU tasks. Numerical loops, large array operations, and heavy compute run dramatically faster.
Zero Code Changes
Your existing scripts, notebooks, and applications work unchanged. Epochly optimizes transparently.
Debug-Friendly
Disable with one env var (EPOCHLY_DISABLE=1). Your debugging workflow stays exactly the same.
Stop waiting for slow Python
Accelerate CPU-bound Python workloads without rewriting a single line of code.
pip install epochly