simplipy 0.2.14

Efficient Simplification of Mathematical Expressions

SimpliPy:
Efficient Simplification of Mathematical Expressions

Publications

• Saegert & Köthe 2026, Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression (preprint, under review) https://arxiv.org/abs/2602.08885

Usage

pip install simplipy

import simplipy as sp

engine = sp.SimpliPyEngine.load("dev_7-3", install=True)

# Simplify prefix expressions
engine.simplify(('/', '<constant>', '*', '/', '*', 'x3', '<constant>', 'x3', 'log', 'x3'))
# > ('/', '<constant>', 'log', 'x3')

# Simplify infix expressions
engine.simplify('x3 * sin(<constant> + 1) / (x3 * x3)')
# > '<constant> / x3'

More examples can be found in the documentation.

Performance

Left: Empirical Cumulative Distribution Functions (ECDFs) of simplification wall-clock time. Our SimpliPy rewriting engine (shades of blue, varying Lmax) operates in the low to moderate millisecond regime, orders of magnitude faster than the SymPy [Meurer et al. 2017] baseline (orange, red). Right: ECDF of the simplification ratio |τ ∗|/|τ |. The inset highlights the tail of the distribution. Our method with Lmax ≥ 5 achieves simplification ratios comparable to the SymPy baseline while maintaining high throughput. Source expressions are sampled with 0 to 17 unique variables and 1 to 35 symbols [Saegert & Köthe 2026]

Development

Setup

To set up the development environment, run the following commands:

pip install -e .[dev]
pre-commit install

Tests

Test the package with pytest:

pytest tests --cov src --cov-report html

or to skip integration tests,

pytest tests --cov src --cov-report html -m "not integration"

Citation

@misc{saegert2026breakingsimplificationbottleneckamortized,
  title   = {Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression},
  author  = {Paul Saegert and Ullrich Köthe},
  year    = {2026},
  eprint  = {2602.08885},
  archivePrefix =  {arXiv},
  primaryClass  = {cs.LG},
  url     = {https://arxiv.org/abs/2602.08885},
}

% Optionally
@software{simplipy-2025,
    author = {Paul Saegert},
    title = {Efficient Simplification of Mathematical Expressions},
    year = 2025,
    publisher = {GitHub},
    version = {0.2.14},
    url = {https://github.com/psaegert/simplipy}
}