PennyLaneAI/pennylane
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
1 release in the last 90 days, the latest 55 days ago, with 226 contributors on GitHub.
Gained 35% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a Python library for programming quantum computers, quantum machine learning, and quantum chemistry with hybrid quantum-classical workflows.
- Enables seamless integration with popular ML frameworks and supports hardware and simulator backends for flexible quantum algorithm development.
- Use for developing and testing quantum machine learning models using PyTorch, TensorFlow, JAX, or Keras interfaces.
- Use for simulating and optimizing quantum chemistry problems with access to specialized quantum chemistry tools and datasets.
- Use for building and running quantum circuits on various hardware devices or high-performance simulators with advanced features like mid-circuit measurements.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
The definitive open-source framework for quantum programming. Built by researchers, for research.
For more details and additional features, please see the PennyLane website.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
891+45
Open issues
467+29
Compared with peers in Deep Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| onnx/onnx | 21.6K | — | 63 | 31 days ago |
| mlc-ai/web-llm | 19.3K | — | 59 | 16 days ago |
| lukas-blecher/LaTeX-OCR | 16.6K | — | 18 | — |
| milesial/Pytorch-UNet | 11.7K | — | 18 | — |
| PennyLaneAI/pennylane | 3.5K | — | 62 | 55 days ago |
| SharpAI/DeepCamera | 3.1K | — | 31 | 227 days ago |
| Category median | 16.6K | — | 31 | — |
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