Novel Observing Strategies Testbed (NOS-T)
The Novel Observing Strategies Testbed (NOS-T) is a computational testbed for maturing technologies related to the NASA Novel Observing Strategies thrust.
Documentation: https://nost-tools.readthedocs.io
NOS-T Tools Installation
NOS-T tools is a collection of tools for the Novel Observing Strategies Testbed
(NOS-T). Installing nost-tools as an editable Python library requires pip
version 23 or greater (install via python -m pip install --upgrade pip).
To install nost-tools, run the following command from the project root
directory:
pip install -e .
Alternatively, to install supplemental libraries required for examples, run
pip install -e .[examples]
Contact
Principal Investigator: Paul T. Grogan paul.grogan@asu.edu
Acknowledgements
This material is based on work supported, in whole or in part, by the U.S. Department of Defense and National Aeronautics and Space Administration Earth Science Technology Office (NASA ESTO) through the Systems Engineering Research Center (SERC) under Contract No. W15QKN-18-D-0040. SERC is a federally funded University Affiliated Research Center managed by Stevens Institute of Technology. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the United States Department of Defense.
This research has made use of NASA Goddard Science Managed Cloud Environment (SMCE), which is a service of the Computational & Information Sciences and Technology Office at the NASA Goddard Space Flight Center.
Current project team:
- PI: Paul T. Grogan paul.grogan@asu.edu
- Research Scientist: Emmanuel M. Gonzalez emmanuelgonzalez@asu.edu
Project alumni:
- Hayden Daly
- Matthew Brand
- Jerry Sellers
- Brian Chell
- Matthew LeVine
- Leigha Capra
- Theodore Sherman
- Alex Yucra Castaneda
1 maintainer
Metadata
1 maintainer
Release files for nost-tools 3.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nost_tools-3.6.0.tar.gz | 80.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nost_tools-3.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 137.0 kB
Release files / nost_tools-3.6.0.tar.gz
| Download URL | nost_tools-3.6.0.tar.gz |
|---|---|
| Size | 80.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / nost_tools-3.6.0-py3-none-any.whl
| Download URL | nost_tools-3.6.0-py3-none-any.whl |
|---|---|
| Size | 56.7 kB |
| 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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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 19, 2026.
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