SMTorg / smt
SMT: The Surrogate Modeling Toolbox
Why this job: works in the areas we cover, but does not say which job it does
What it does
The surrogate modeling toolbox (SMT) is a Python package that contains a collection of surrogate modeling methods, sampling techniques, and benchmarking functions. This package provides a library of surrogate models that is simple to use and facilitates the implementation of additional methods.
Get started
pip install smt- Maintenance
- Active
- Last commit 9 days ago
- Stars
- 927
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.15.1
- Released 8 days ago
- Built with
- Jupyter Notebook
- 95% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 86% closed
- 25 still open
- Pull requests
- 543 merged
- 7 waiting
- Releases
- 60
- 9 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| JacksonBurns / astartes | 103 | 5 days ago | MIT | No downloads |
| EmuKit / emukit | 682 | 2 months ago | Apache-2.0 | No downloads |
| johannesulf / nautilus | 118 | 7 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Jupyter Notebook 95%
- Python 5%
- C++ <1%
- Cython <1%
Topics
- surrogate-models
- derivative
- sampling
- mixture-of-experts
- multi-fidelity
- predictive-modeling
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits1,686
- Forks235
- Watching24
- Stars in 28 days+6
- CreatedNov 8, 2016
- First seen by usNov 7, 2026
- CheckedNov 10, 2026