Package · PyPI
py-vollib-vectorized
PyPI · v0.1.1 · MIT
A fast, vectorized approach to calculating Implied Volatility and Greeks using the Black, Black-Scholes and Black-Scholes-Merton pricing.
Not filed under any category yet: no assignment reached confidence 0.5.
Install
pip install py-vollib-vectorizedAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.04
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 9.9
- 2 versions over its life
Growth by period
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
- Not published by PyPI
- Not published
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.
Facts from the registry
- Latest version
- v0.1.1
- 2 versions
- First published
- DEC 17, 2020
- Last release
- FEB 28, 2021
- 6y ago
- Licence
- MIT
Repository
Not in the Crest catalog
marcdemers/py_vollib_vectorized (GitHub, opens in a new tab)
The catalog tracks GitHub repositories with more than 500 stars; this one has no Crest page, so its figures are not shown here.
Dependencies latest version · v0.1.1
Runtime 6
- numba
>=0.51.0 - numpyAny version
- pandasAny version
- py-lets-be-rationalAny version
- py-vollib
>=1.0.1 - scipyAny version
Related packages
No related package is in the catalog yet.
Related news
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