Uncertainty Calculator
Sandia UNcertainty CALculator (SUNCAL)
Copyright 2019-2025 National Technology & Engineering Solutions of Sandia, LLC (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights in this software. This software is distributed under the GNU General Public License.
This tool was developed by the Primary Standards Lab at Sandia National Laboratories to calculate the combined uncertainty of a multi-variable system. Contact uncertainty@sandia.gov.
Installation
Installation of the Python package and command line interface requires Python 3.9+ with the following packages:
- numpy
- scipy
- sympy
- matplotlib
- pyqt5
- pyyaml
- markdown
- pint
To install (on Windows, Mac, or Linux), from a command prompt, run:
pip install suncal
Example Usage
From a python terminal, script, or notebook:
import suncal
u = suncal.Model('A*B')
u.var('A').measure(100).typeb(unc=0.1)
u.var('B').measure(2).typeb(unc=0.01)
u.calculate()
See the PDF user's manual and the example notebook files in the docs folder for a complete reference guide.
Command-line script
A script named suncal will be installed to your system path. From a command line, run:
suncal file
where file is the filename of a setup file. See doc/examples folder for example setup files. Refer to the PDF user's manual for other commands.
User interface
A graphical user interface is installed with the Python package. Pre-built executables are available from https://sandiapsl.github.io.
To launch the user interface from a command line, run:
suncalui
or
python -m suncal.gui
Metadata
Release files for suncal 1.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| suncal-1.7.1.tar.gz | 4.4 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| suncal-1.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.2 MB
Release files / suncal-1.7.1.tar.gz
| Download URL | suncal-1.7.1.tar.gz |
|---|---|
| Size | 4.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
33d1ca670d1178ad7f911168ed44aa86a067bf50c6a36cd1f8c4cfc167ba7b05
|
|
BLAKE2b-256 checksum How to use checksums |
f8e1edb883c527a9fefc23bb7a9cf3ed05d0f3fd9c4260224581cf957e0546d6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / suncal-1.7.1-py3-none-any.whl
| Download URL | suncal-1.7.1-py3-none-any.whl |
|---|---|
| Size | 2.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5241b902b511affc2ed27799ff7acbc651ca02715709b341a707012d228b2fde
|
|
BLAKE2b-256 checksum How to use checksums |
82ae1787ee4e46afe24a5c71eddeab381160110336b4af70f8dedc7a20f737f0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Security for suncal 1.7.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.