An open-source community LSST Solar System Simulator
Documentation: https://sorcha.readthedocs.io
Other software utilities can be found in this github repository: https://github.com/dirac-institute/sorcha-addons
developer best practices
- Data sets should be moved to the
src/sorcha/modules/datafolder, have a readme.txt or readme.md to explain where the data came from as well as a time stamp in the readme.txt. - Data sets that are used for unit testing should live in
tests/data. - All required input files for the main software or unit tests should have extensions that clearly describe the file format (e.g. .csv, .txt, .db, .fits)
- If you are working on addressing a specific issue ticket, assign yourself the ticket.
- When making a pull request that closes an issue, cite the issue ticket in the pull request summary
- Docstrings should follow the NumPy style
Collaboration
This effort is a collaboration between Queen's University Belfast, the University of Washington's DiRAC Institute, the University of Illinois at Urbana-Champaign, the Center for Astrophysics | Harvard & Smithsonian, and LINCC Frameworks (through the LINCC Frameworks Incubator Program).
This project is supported in part by the generosity of Eric and Wendy Schmidt by recommendation of the Schmidt Futures program.
Release files for sorcha 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sorcha-1.2.1.tar.gz | 63.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sorcha-1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 75.3 MB
Release files / sorcha-1.2.1.tar.gz
| Download URL | sorcha-1.2.1.tar.gz |
|---|---|
| Size | 63.7 MB |
| Tags | Source |
|
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? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / sorcha-1.2.1-py3-none-any.whl
| Download URL | sorcha-1.2.1-py3-none-any.whl |
|---|---|
| Size | 11.6 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? |
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 12, 2026.
Transparency log
