AutoEmulate 
Simulations of physical systems are often slow and need lots of compute, which makes them unpractical for real-world applications like digital twins, or when they have to run thousands of times for sensitivity analyses. The goal of AutoEmulate is to make it easy to replace simulations with fast, accurate emulators. To do this, AutoEmulate automatically fits and compares various emulators, ranging from simple models like Radial Basis Functions and Second Order Polynomials to more complex models like Support Vector Machines and Gaussian Processes to find the best emulator for a simulation.
Documentation
You can find the project documentation here, including installation.
The AutoEmulate project
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The AutoEmulate project is run out of the Alan Turing Institute.
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Visit autoemulate.com to learn more.
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Feel free to reach out to us at aiphys@turing.ac.uk for queries about AutoEmulate or ideas for collaboration.
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We have also published a paper in The Journal of Open Source Software.
Please cite this paper if you use the package in your work:
@article{Stoffel2025, doi = {10.21105/joss.07626}, url = {https://doi.org/10.21105/joss.07626}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {107}, pages = {7626}, author = {Martin A. Stoffel and Bryan M. Li and Kalle Westerling and Sophie Arana and Max Balmus and Eric Daub and Steve Niederer}, title = {AutoEmulate: A Python package for semi-automated emulation}, journal = {Journal of Open Source Software} }
Contributors
Metadata
Release files for autoemulate 2.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autoemulate-2.1.2.tar.gz | 4.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autoemulate-2.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.5 MB
Release files / autoemulate-2.1.2.tar.gz
| Download URL | autoemulate-2.1.2.tar.gz |
|---|---|
| Size | 4.2 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
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Release files / autoemulate-2.1.2-py3-none-any.whl
| Download URL | autoemulate-2.1.2-py3-none-any.whl |
|---|---|
| Size | 4.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|