skplatform
This package is used for the attitude solution of optical instruments remote sensing the atmosphere from space, balloons, aircraft or the ground. The package can be used to generate lines of sight for simulations or real instruments. A simple interface for simulating satellite based instruments, supporting scripting and integration with integration with hawksimulator, is included as a submodule.
Installation
pip install skplatform
Building a wheel
The python wheel can also be built from source code,
conda install setuptools build
python -m build --wheel
Documentation
Documentation can be found at ReadTheDocs skplatform
Unit Testing
python -m unittest discover -s skplatform.tests
The tests take around 90 seconds to run, so be patient.
License
This project is licensed under the MIT license.
Release files for skplatform 0.2.17
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| skplatform-0.2.17.tar.gz | 8.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| skplatform-0.2.17-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.2 MB
Release files / skplatform-0.2.17.tar.gz
| Download URL | skplatform-0.2.17.tar.gz |
|---|---|
| Size | 8.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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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? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
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Transparency logRelease files / skplatform-0.2.17-py3-none-any.whl
| Download URL | skplatform-0.2.17-py3-none-any.whl |
|---|---|
| Size | 4.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
91b6242b226d8229a5c31b7abea543d43ca1b29f7559f66e23658c2baf26952e
|
|
BLAKE2b-256 checksum How to use checksums |
35cbba3c5c3c016373da621104a8cb25b207d798a0d780fd369292b0d2908753
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
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 Apr 30, 2025.
Transparency log