In the Crest catalog
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
- Stars
- 1.3K
- Forks
- 137
- Language
- Python
- Last push
- 23d ago
- Last release
- 4mo ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
mlforecast
PyPI · v1.1.0 · Apache Software License 2.0
Scalable machine learning based time series forecasting
Install
pip install mlforecastAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.69
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 11
- 58 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
- v1.1.0
- 58 versions
- First published
- APR 27, 2021
- Last release
- JUL 10, 2026
- 4mo ago
- Licence
- Apache Software License 2.0
Repository
Dependencies latest version · v1.1.0
Runtime 8
- cloudpickleAny version
- coreforecast
>=0.0.15 - fsspecAny version
- narwhalsAny version
- optunaAny version
- pandas
<3.0 - scikit-learnAny version
- utilsforecast
>=0.2.9
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Related news
No published news event mentions this package or its repository yet.