sparsediffpy

library0.4.0pypypiunverified

Python bindings for SparseDiffEngine, an algorithmic differentiation library that computes sparse Jacobians and Hessians efficiently using graph coloring methods. Current version 0.4.0, requires Python >=3.11. Active development with monthly releases.

ai-ml

pip install sparsediffpy

INSTALL

IMPORT

SIG · SPARSEDIFFPY

sparsediffpy

ai-mlpythonv0.4.0

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

Jacobian

✓ from sparsediffpy import Jacobian

✗ from sparsediff import Jacobian

Compute sparse Jacobian of a 2D function at a point

from sparsediff import Jacobian import numpy as np def f(x): return np.array([x[0]**2 + x[1]**2, x[0]*x[1]]) J = Jacobian(f, np.array([1.0, 2.0])) print(J.compute())

Debug

Known issues

gotchaImport path: use `from sparsediff import ...`, NOT `import sparsediffpy`. The package name on PyPI is sparsediffpy, but the importable module is sparsediff.

fix

Use `from sparsediff import Jacobian, Hessian`

affects: all

breakingAPI changes in 0.4.0: `Jacobian.compute()` now returns a dense numpy array by default; use `sparse=True` to get a scipy sparse matrix.

fix

Call `compute(sparse=False)` for old behavior or adjust code accordingly.

affects: >=0.4.0

gotchaRequires Python >=3.11; installing on older Python versions will fail silently or produce import errors.

fix

Ensure Python 3.11 or newer is used.

affects: all

deprecatedThe `seed_matrix` argument in Jacobian constructor is deprecated since 0.3.0 and will be removed in 0.5.0.

fix

Use the new `coloring` parameter instead of `seed_matrix`.

affects: >=0.3.0,<0.5.0

Upgrade

Version history

0.4.0latest on PyPI · released May 22, 2026

Audit

Dependencies

numpyrequiredcore dependency for array operations

Agent activity

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OpenAI (training)

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