openmdao

library3.44.0pypypi✓ verified 84d ago

OpenMDAO is an open-source high-performance computing framework for multidisciplinary analysis and optimization. It enables efficient decomposition of coupled systems into components, automatic differentiation, and parallel computing. Current version 3.43.0, requires Python >=3.10. Release cadence is approximately monthly.

workflow data

pip install openmdao

package ↗homepage ↗

INSTALL

IMPORT

SIG · OPENMDAO

openmdao

workflowpythonv3.44.0

Install

33.1s avg

Import

3850ms

Disk

287MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v3.44.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

glibc

py 3.10

1/2 runs

✓ 32.8s

py 3.11

1/2 runs

✓ 33.6s

py 3.12

1/2 runs

✓ 31.75s

py 3.13

1/2 runs

✓ 30.6s

py 3.9

1/2 runs

✓ 36.55s

287MB installed

● package 287MB

Code

Verified usage

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

Problem

✓ from openmdao.core.problem import Problem

✗ from openmdao.api import Problem

Old top-level import from openmdao.api still works but is deprecated; prefer explicit core import.

IndepVarComp

✓ from openmdao.core.indepvarcomp import IndepVarComp

✗ from openmdao.api import IndepVarComp

Using openmdao.api is deprecated; use explicit import from submodule.

ExplicitComponent

✓ from openmdao.core.explicitcomponent import ExplicitComponent

✗ from openmdao.api import ExplicitComponent

Same deprecation as above.

Minimal example: create a Problem, add an IndepVarComp and an ExecComp, run the model, and print output.

import openmdao.api as om prob = om.Problem() prob.model.add_subsystem('indep', om.IndepVarComp('x', 1.0), promotes=['x']) prob.model.add_subsystem('comp', om.ExecComp('y=x+1'), promotes=['*']) prob.setup() prob.run_model() print(prob.get_val('y'))

openmdao --version

Debug

Known issues

breakingOpenMDAO 3.x removed support for Python 2.7 and 3.6. Upgrade code to Python >=3.10.

fix

Ensure Python interpreter is 3.10 or higher; update deprecated API calls.

affects: >=3.0.0

breakingThe 'openmdao.api' module is deprecated as of OpenMDAO 3.31.0. Direct imports from submodules are now preferred.

fix

Replace 'from openmdao.api import X' with the explicit import path (e.g., 'from openmdao.core.problem import Problem').

affects: >=3.31.0

deprecatedThe 'openmdao.core.component.Component' base class has been renamed to 'ExplicitComponent' and 'ImplicitComponent'. Using the old name issues a deprecation warning and will be removed.

fix

Use 'from openmdao.core.explicitcomponent import ExplicitComponent' or 'from openmdao.core.implicitcomponent import ImplicitComponent' instead.

affects: >=3.0.0

gotchaDo not modify a model's structure (add/remove subsystems) after calling setup() or run_model() unless you call final_setup() again. Doing so can cause crashes or undefined behavior.

fix

Either restructure before setup() or use a new Problem instance.

affects: all

gotchaSolver tolerances and options must be set before calling setup() if you want them to take effect. Setting them after setup may be silently ignored.

fix

Set solver options on the system's solver object before prob.setup().

affects: all

Errors

Common errors & fixes

ImportError: cannot import name 'IndepVarComp' from 'openmdao.api'

openmdao.api is deprecated; import path changed.

fix

Use 'from openmdao.core.indepvarcomp import IndepVarComp' or keep openmdao.api but this will break in future versions.

NameError: name 'ExecComp' is not defined

Forgot to import ExecComp; it's not a built-in.

fix

Add 'from openmdao.components.exec_comp import ExecComp' or use 'om.ExecComp' if using openmdao.api.

ValueError: The model is already set up. Cannot change configuration after setup.

Attempting to modify model after setup() call.

fix

Make all model changes before calling setup(). If needed, create a new Problem instance.

Upgrade

Version history

3.44.0latest on PyPI · released Jun 1, 2026

Audit

Dependencies

numpyrequiredcore dependency for array operations

scipyoptionalused for solvers and optimization

matplotliboptionalfor built-in plotting utilities

Agent activity

35 hits · last 30 days

node

Amazon

OpenAI (training)

Resources

packagehttps://pypi.org/project/openmdao/ ↗

homepagehttp://openmdao.org ↗