NVIDIA/cuPhoton
CUDA-accelerated Python tools for astronomical and multi-dimensional data access, image subtraction, warping, candidate classification, and scientific review.
Is NVIDIA/cuPhoton beginner-friendly?
The maintainers of NVIDIA/cuPhoton usually reply to a pull request within 1 day. No beginner-friendly issue is open right now; the list below has the other issues we hold for it.
- Stars
- 17
- Forks
- 9
- Open beginner issues
- 0
- Indexed issues
- 4
- Avg merge
- 2d 2h
- Merged PRs (30d)
- 90
- Dominant language
- Python
- License
- Apache-2.0
- Last GitHub push
- Oct 9, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- No beginner labels indexed
How to contribute to NVIDIA/cuPhoton
- Read the contributing guide first: it says how the maintainers want changes proposed, tested and reviewed.
- Read its code of conduct: it covers issues and pull requests as well as chat.
- Your contributions will be published under the project's Apache-2.0 license.
- Follow the repository to hear when a new beginner-friendly issue opens, or look through the other issues below.
Issues somebody may already be working on are listed last. List everything by date
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bug
Difficulty 2/5 1-3 hours Newbie friendliness 86/100
Maintainers usually reply within 1 day
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Difficulty 5/5 Over a week Newbie friendliness 45/100
Maintainers usually reply within 1 day
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Difficulty 5/5 Over a week Newbie friendliness 35/100
Maintainers usually reply within 1 day
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Difficulty 5/5 Over a week Newbie friendliness 25/100
NVIDIA/cuPhoton#1 · 6 comments ·
Maintainers usually reply within 1 day