PyTorch builds and runs machine-learning models through an open-source tensor and deep-learning framework. Learn more about PyTorch
Who should take a closer look?Teams evaluating PyTorch for machine learning & scientific python workflows, particularly tensor computation and neural network training. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Tensor computation
- ✓Neural network training
- ✓Model deployment tools
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
TensorFlow builds and deploys machine-learning models through an open-source development platform. Learn more about TensorFlow
Who should take a closer look?Teams evaluating TensorFlow for machine learning & scientific python workflows, particularly model training and model deployment. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Model training
- ✓Model deployment
- ✓Machine-learning libraries
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
scikit-learn builds predictive models with Python machine-learning algorithms and evaluation tools. Learn more about scikit-learn
Who should take a closer look?Teams evaluating scikit-learn for machine learning & scientific python workflows, particularly classification algorithms and data preprocessing. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Classification algorithms
- ✓Data preprocessing
- ✓Model evaluation
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
Keras builds deep-learning models through a high-level neural-network API. Learn more about Keras
Who should take a closer look?Teams evaluating Keras for machine learning & scientific python workflows, particularly neural network apis and model training. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Neural network APIs
- ✓Model training
- ✓Model export
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
XGBoost trains gradient-boosted decision-tree models for predictive tasks. Learn more about XGBoost
Who should take a closer look?Teams evaluating XGBoost for machine learning & scientific python workflows, particularly gradient boosting and tree-based models. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Gradient boosting
- ✓Tree-based models
- ✓Model training
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
LightGBM trains gradient-boosted tree models for machine-learning workflows. Learn more about LightGBM
Who should take a closer look?Teams evaluating LightGBM for machine learning & scientific python workflows, particularly gradient boosting and decision-tree models. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Gradient boosting
- ✓Decision-tree models
- ✓Model training
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
CatBoost trains gradient-boosting models with support for categorical features. Learn more about CatBoost
Who should take a closer look?Teams evaluating CatBoost for machine learning & scientific python workflows, particularly gradient boosting and categorical feature handling. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Gradient boosting
- ✓Categorical feature handling
- ✓Model training
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
JAX combines array computation and automatic differentiation for numerical and machine-learning work. Learn more about JAX
Who should take a closer look?Teams evaluating JAX for machine learning & scientific python workflows, particularly array computation and automatic differentiation. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Array computation
- ✓Automatic differentiation
- ✓Accelerated numerical operations
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
NumPy processes multidimensional arrays for scientific and numerical Python workflows. Learn more about NumPy
Who should take a closer look?Teams evaluating NumPy for machine learning & scientific python workflows, particularly multidimensional arrays and numerical operations. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Multidimensional arrays
- ✓Numerical operations
- ✓Array broadcasting
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
pandas organises and analyses tabular data in Python. Learn more about pandas
Who should take a closer look?Teams evaluating pandas for machine learning & scientific python workflows, particularly data frames and data transformation. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Data frames
- ✓Data transformation
- ✓Data import and export
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
Polars processes tabular data through a dataframe query engine. Learn more about Polars
Who should take a closer look?Teams evaluating Polars for machine learning & scientific python workflows, particularly data frames and lazy queries. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Data frames
- ✓Lazy queries
- ✓Data transformation
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
SciPy provides scientific computing algorithms for numerical Python workflows. Learn more about SciPy
Who should take a closer look?Teams evaluating SciPy for machine learning & scientific python workflows, particularly scientific algorithms and numerical optimisation. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Scientific algorithms
- ✓Numerical optimisation
- ✓Statistical functions
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
Matplotlib creates static and interactive plots from Python data. Learn more about Matplotlib
Who should take a closer look?Teams evaluating Matplotlib for machine learning & scientific python workflows, particularly scientific plotting and chart configuration. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Scientific plotting
- ✓Chart configuration
- ✓Figure export
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
Seaborn creates statistical visualisations through a Python plotting interface. Learn more about Seaborn
Who should take a closer look?Teams evaluating Seaborn for machine learning & scientific python workflows, particularly statistical plots and dataset visualisation. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Statistical plots
- ✓Dataset visualisation
- ✓Plot styling
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
Plotly creates interactive data visualisations through Python charting tools. Learn more about Plotly
Who should take a closer look?Teams evaluating Plotly for machine learning & scientific python workflows, particularly interactive charts and scientific plots. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Interactive charts
- ✓Scientific plots
- ✓Figure export
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
DVC versions data and model files alongside machine-learning project workflows. Learn more about DVC
Who should take a closer look?Teams evaluating DVC for machine learning & scientific python workflows, particularly data versioning and pipeline tracking. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Data versioning
- ✓Pipeline tracking
- ✓Experiment management
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
MLflow tracks machine-learning and AI application experiments through lifecycle tooling. Learn more about MLflow
Who should take a closer look?Teams evaluating MLflow for machine learning & scientific python workflows, particularly experiment tracking and model registry. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Experiment tracking
- ✓Model registry
- ✓AI evaluation workflows
Open-source softwareAn open-source software edition is available. Check the exact licence and distribution; hosting, operation, support and separately licensed extensions may still cost money.
Weights & Biases connects machine-learning experiment tracking with model development workflows. Learn more about Weights & Biases
Who should take a closer look?Teams evaluating Weights & Biases for machine learning & scientific python workflows, particularly experiment tracking and model evaluation. Check the edition and intended deployment before selecting a package.
Capabilities to explore
- ✓Experiment tracking
- ✓Model evaluation
- ✓Training visualisation
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