In the Crest catalog
NannyML/nannyml
nannyml: post-deployment data science in python
- Stars
- 2.2K
- Forks
- 200
- Language
- Python
- Last push
- 16mo ago
- Last release
- 16mo ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
nannyml
PyPI · v0.13.1 · Apache-2.0
NannyML, Your library for monitoring model performance.
- AI & Machine Learning (primary)
- Data Science & Visualization
- Observability
- ML Frameworks & Training · Tentative
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
pip install nannymlAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.34
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 11
- 35 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
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 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
- v0.13.1
- 35 versions
- First published
- APR 11, 2022
- Last release
- JUL 12, 2025
- 16mo ago
- Licence
- Apache-2.0
Repository
Dependencies latest version · v0.13.1
Runtime 25
- APScheduler
<4.0,>=3.9 - FLAML
<3.0.0,>=2.3.3 - Jinja2
>=3.1 - PyYAML
<7.0,>=6.0 - category-encoders
<3.0,>=2.3 - click
<9.0,>=8.1 - gcsfs
>=2022.5 - joblib
<2.0,>=1.1 - kaleido
<0.3,>=0.2 - lightgbm
<4.6,>=3.3 - matplotlib
<4.0,>=3.7 - numpy
>=1.23 - pandas
>=1.4 - plotly
<6.0,>=5.6 - pyarrow
>=13.0 - pydantic
>=2.7 - pyfiglet
<0.9,>=0.8.post1 - python-dateutil
<3.0,>=2.8 - python-dotenv
<2.0,>=1.0 - rich
>=12.5 - s3fs
>=2022.8 - scikit-learn
>=1.3 - scipy
>=1.9.2 - seaborn
<0.14,>=0.13 - segment-analytics-python
<3.0,>=2.3
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Related news
No published news event mentions this package or its repository yet.