In the Crest catalog
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
- Stars
- 10.8K
- Forks
- 1.2K
- Language
- Python
- Last push
- 23d ago
- Last release
- 36d ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
autogluon-multimodal
PyPI · v1.6.3 · Apache-2.0
Fast and Accurate ML in 3 Lines of Code
- AI & Machine Learning (primary)
- ML Frameworks & Training
- Computer Vision
- NLP & Speech
- Data Science & Visualization · 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 autogluon-multimodalAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.99
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 350
- 1,509 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
- v1.6.3
- 1,509 versions
- First published
- JUN 16, 2022
- Last release
- OCT 5, 2026
- 19d ago
- Licence
- Apache-2.0
Repository
Dependencies latest version · v1.6.3
Runtime 35
- Pillow
<13,>=10.0.1 - accelerate
<2.0,>=1.1.0 - autogluon.common
==1.6.3 - autogluon.core
==1.6.3 - autogluon.features
==1.6.3 - boto3
<2,>=1.10 - defusedxml
<0.7.2,>=0.7.1 - evaluate
<0.5.0,>=0.4.0 - fsspec
<2027.0 - jinja2
<3.2,>=3.0.3 - jsonschema
<4.24,>=4.18 - lightning
<2.7,>=2.5.1 - nlpaug
<1.2.0,>=1.1.10 - nltk
<3.11,>=3.10.3 - numpy
<2.6.0,>=1.25.0 - nvidia-ml-py3
<8.0,>=7.352.0 - omegaconf
<2.4.0,>=2.1.1 - openmim
<0.4.0,>=0.3.7 - pandas
<2.4.0,>=2.0.0 - pdf2image
<1.19,>=1.17.0 - pytesseract
<0.4,>=0.3.9 - pytorch-metric-learning
<2.9,>=1.3.0 - requests
<3,>=2.30 - scikit-image
<0.26.0,>=0.19.1 - scikit-learn
<1.10.0,>=1.4.0 - scipy
<1.19,>=1.5.4 - seqeval
<1.3.0,>=1.2.2 - tensorboard
<3,>=2.9 - text-unidecode
<1.4,>=1.3 - timm
<1.0.7,>=0.9.5 - torch
<2.14,>=2.10 - torchmetrics
<1.8,>=1.2.0 - torchvision
<0.29.0,>=0.21.0 - tqdm
<5,>=4.38 - transformers
<5.15,>=5.3
Related packages
- autogluonFast and Accurate ML in 3 Lines of CodePublished from the same repository
- autogluon-commonFast and Accurate ML in 3 Lines of CodePublished from the same repository
- autogluon-coreFast and Accurate ML in 3 Lines of CodePublished from the same repository
- autogluon-featuresFast and Accurate ML in 3 Lines of CodePublished from the same repository
- autogluon-tabularFast and Accurate ML in 3 Lines of CodePublished from the same repository
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- langgraphBuilding stateful, multi-actor applications with LLMsSame primary category
Related news
No published news event mentions this package or its repository yet.