PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
7 days
—Not published by PyPI
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30 days
—Not published by PyPI
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90 days
—Not published by PyPI
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1 year
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Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.