Registry / ai-ml / sleipnirgroup-jormungandr

sleipnirgroup-jormungandr

library0.5.4pypypiunverified

Reverse mode automatic differentiation library and domain-specific language for nonlinear programming (NLP) solvers. Designed for efficient gradient and Hessian computations, it provides a Python DSL to formulate and solve optimization problems. Current version 0.5.4, requires Python >=3.12. Development is active with pre-1.0 breaking changes expected.

ai-ml

pip install sleipnirgroup-jormungandr

package ↗docs ↗

INSTALL

IMPORT

SIG · SLEIPNIRGROUP-JORM

sleipnirgroup-jormungandr

ai-mlpythonv0.5.4

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.

Jormungandr

✓ from jormungandr import Jormungandr

✗ from sleipnirgroup_jormungandr import Jormungandr

The library is installed as sleipnirgroup-jormungandr but the top-level import package is 'jormungandr'.

autodiff

✓ from jormungandr import autodiff

The autodiff module is nested under the main 'jormungandr' package.

NlpSolver

✓ from jormungandr.nlp import NlpSolver

✗ from jormungandr import NlpSolver

NlpSolver lives in the 'nlp' submodule, not at the top level.

Minimal example showing variable creation, expression evaluation with reverse mode autodiff, and NLP solving.

from jormungandr import Jormungandr # Define variables x = Jormungandr.variable('x') y = Jormungandr.variable('y') # Define expression f = x**2 + y**2 # Compute gradient (reverse mode) grad = Jormungandr.gradient(f, [x, y]) print('Gradient at (1,2):', grad.eval({'x': 1, 'y': 2})) # Solve NLP from jormungandr.nlp import NlpSolver solver = NlpSolver() solver.set_objective(f) solver.set_initial_guess({'x': 0.0, 'y': 0.0}) solution = solver.solve() print('Solution:', solution)

Debug

Known issues

breakingAPI is unstable before 1.0. Expect changes in module names, function signatures, and behavior between minor versions. Pin your dependency to a specific minor version.

fix

Pin for production: sleipnirgroup-jormungandr==0.5.4

affects: <1.0

gotchaThe package name on PyPI is 'sleipnirgroup-jormungandr' but the import is 'jormungandr'. Do not use the hyphens in import statements.

fix

Always use 'import jormungandr' or 'from jormungandr import ...'

affects: all

deprecatedThe old autodiff API (e.g., `Jormungandr.auto_diff`) is deprecated in favor of `Jormungandr.gradient`. The old name may be removed in 0.6.

fix

Replace `auto_diff` with `gradient` in your code.

affects: >=0.5, <0.6

gotchaDefault variable types are symbolic scalars. To create vectors/matrices, use `Jormungandr.variable('x', shape=(3,))` or similar. Forgetting the shape leads to shape mismatch errors.

fix

Explicitly specify shape when creating non-scalar variables.

affects: all

Upgrade

Version history

0.5.4latest on PyPI · released Apr 26, 2026

Audit

Dependencies

numpyrequiredRequired for array operations and interfacing with Jormungandr's symbolic types.

casadioptionalOptional but often used together for algorithm prototyping.

Agent activity

7 hits · last 30 days

node

OpenAI (training)

Resources

packagehttps://pypi.org/project/sleipnirgroup-jormungandr/ ↗

docshttps://sleipnirgroup.github.io/Sleipnir/ ↗