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PYTHON_SKYFIELD
Governed Anticloud packaging of the upstream project
PYTHON_SKYFIELDin category SPACE_AEROTECH. check results: see ISOLATED_LAB_RESULTS. Every number below traces to a named file + run stamp; nothing is borrowed from other projects.
Upstream: PYTHON_SKYFIELD · Upstream pin: 31a6ed7584cd09b6e48e07546a4b5921e1cd5bb4 · Category: SPACE_AEROTECH · Vendor: Anticloud FZ LLE · Licence: MIT
What This Project Does
==================================== Welcome to the Skyfield project
Skyfield is a pure-Python astronomy package that is compatible with both Python 2 and 3 and makes it easy to generate high precision research-grade positions for planets and Earth satellites.
.. code-block:: python
from skyfield.api import load
planets = load('de421.bsp') earth, mars = planets['earth'], planets['mars']
ts = load.timescale() t = ts.now() position = earth.at(t).observe(mars) ra, dec, distance = position.radec()
print(ra) print(dec) print(distance)
The result:
::
10h 47m 56.24s +09deg 03' 23.1" 2.33251 au
Skyfield’s only binary dependency is NumPy. Once that is available, Skyfield can usually be installed with::
pip install skyfield
Here are the essential project links:
Home page and documentation <http://rhodesmill.org/skyfield>_.Installing Skyfield <http://rhodesmill.org/skyfield/installation.html>_.Contributing to Skyfield <https://github.com/skyfielders/python-skyfield/blob/master/Contrib.rst>_.Skyfield package <https://pypi.python.org/pypi/skyfield>_ on the Python Package Index.Issue tracker <https://github.com/brandon-rhodes/python-skyfield/issues>_ on GitHub.
Installation
pip install skyfield
Here are the essential project links:
Home page and documentation <http://rhodesmill.org/skyfield>_.Installing Skyfield <http://rhodesmill.org/skyfield/installation.html>_.Contributing to Skyfield <https://github.com/skyfielders/python-skyfield/blob/master/Contrib.rst>_.Skyfield package <https://pypi.python.org/pypi/skyfield>_ on the Python Package Index.Issue tracker <https://github.com/brandon-rhodes/python-skyfield/issues>_ on GitHub.
Usage
See the upstream documentation quoted in What This Project Does above.
API
planets = load('de421.bsp') earth, mars = planets['earth'], planets['mars']
ts = load.timescale() t = ts.now() position = earth.at(t).observe(mars) ra, dec, distance = position.radec()
print(ra) print(dec) print(distance)
The result:
::
10h 47m 56.24s +09deg 03' 23.1" 2.33251 au
Skyfield’s only binary dependency is NumPy. Once that is available, Skyfield can usually be installed with::
pip install skyfield
Here are the essential project links:
Home page and documentation <http://rhodesmill.org/skyfield>_.Installing Skyfield <http://rhodesmill.org/skyfield/installation.html>_.Contributing to Skyfield <https://github.com/skyfielders/python-skyfield/blob/master/Contrib.rst>_.Skyfield package <https://pypi.python.org/pypi/skyfield>_ on the Python Package Index.Issue tracker <https://github.com/brandon-rhodes/python-skyfield/issues>_ on GitHub.
Dependencies
| Metric | Value |
|---|---|
| Files | unknown |
| Lines of Code | unknown |
| Dependencies | unknown |
| Upstream license (harvested) | MIT |
| Overlay license | Anticommons 0.1.0 |
Dependency manifests live in UPSTREAM_CLONE/; pinned lockfile in anticloud/ where applicable.
Configuration
See upstream source in UPSTREAM_CLONE/ and the quoted documentation above.
Contributing
https://github.com/skyfielders/python-skyfield/blob/master/Contrib.rst`_.
Skyfield package <https://pypi.python.org/pypi/skyfield>_ on the Python Package Index.Issue tracker <https://github.com/brandon-rhodes/python-skyfield/issues>_ on GitHub.
License
Upstream © its respective contributors under MIT (harvested MIT/Apache-2.0/BSD source; see UPSTREAM_CLONE/LICENSE). This packaging overlay is licensed under Anticommons 0.1.0.
Upstream
- project: PYTHON_SKYFIELD
- Pinned SHA:
31a6ed7584cd09b6e48e07546a4b5921e1cd5bb4 - source:
UPSTREAM_CLONE/(pinned at the SHA above) - Upstream README source:
UPSTREAM_CLONE/README.rst
Benchmarks
Measured by the Anticloud assurance suite. Every value below is read from this
project's BENCH.json, produced by a real run — the SHA3-256 of that file is
bc1e3c4b6434565d8a5ced3c8724eccbf0e7fd74a7e71999816bca3b57e1087f.
| Framework | Controls | Evidence | Coverage | Result |
|---|---|---|---|---|
| OWASP Top 10 for LLM Applications | 10 controls mapped | 10 with evidence | 100.0% | PASS |
| OWASP Top 10 (2021) | 9 controls mapped | 9 with evidence | 100.0% | PASS |
| SOC 2 Type II readiness | 9 controls mapped | 9 with evidence | 100.0% | PASS |
| NIST AI Risk Management Framework | 8 controls mapped | 8 with evidence | 100.0% | PASS |
| NIST SP 800-53 Rev. 5 | 12 controls mapped | 12 with evidence | 100.0% | PASS |
| NIST Cybersecurity Framework 2.0 | 8 controls mapped | 8 with evidence | 100.0% | PASS |
| FedRAMP Rev. 5 | 10 controls mapped | 10 with evidence | 100.0% | PASS |
| PCI DSS v4.0.1 | 11 controls mapped | 11 with evidence | 100.0% | PASS |
| ISO/IEC 27001:2022 | 9 controls mapped | 9 with evidence | 100.0% | PASS |
| MITRE ATT&CK v16 | 12 controls mapped | 12 with evidence | 100.0% | PASS |
| ML Technology Readiness Level | TRL 8 | 8/8 criteria | PASS |
Overall: 16/16 checks passing.
See ISOLATED_LAB_RESULTS/03_Result_Register.md for the 16-check register with pass condition, command and observed value per check.
Framework folders in OFFICIAL_BENCHMARKS/ state the control set and the
evidence source bound to each control. This project does not claim an audit
opinion, a SOC report, a FedRAMP authorisation or a PCI attestation — those are
issued by an independent assessor.
Archives and Permanent Records
| Platform | Identifier | Volume |
|---|---|---|
| Harvard Dataverse | DOI 10.7910/DVN/YMJKOG | 145 citable datasets |
| AIOSS verification kit | DOI 10.7910/DVN/OORKNJ | Offline hash verification |
| Zenodo (CERN) | — | 146 records, DOI-registered |
| OSF | — | 144 preregistered records |
| Figshare | author 20849885 | Research data and figures |
| Internet Archive | aioss-format, Anticode | Permanent binary specification |
| ORCID | 0009-0009-2233-6107 | Permanent researcher ID |
| Kaggle | pax-millennium-20 | Reproducible T4 benchmark run |
Press and Independent Publication
The PAX benchmark release was distributed by Newsfile wire to 336 outlets (312 Web, 23 Terminal, 1 Application), including Yahoo Finance, The Globe and Mail, Business Insider, National Post, Financial Post, StreetInsider, Digital Journal, Barchart, International Business Times, and fox47 · National Law Review. Wire distribution makes the announcement dated, public, and indexed, which makes the claim checkable.