Data Science & ML Tools

Open-source interactive computing notebook for data science and research.

Free cloud Jupyter notebooks with GPU/TPU access from Google.

Data science competition platform with free notebooks and datasets.

AI model repository with 500k+ models and 150k+ datasets.

Google open-source ML framework for training and deploying models.

Facebook open-source ML framework favoured for research and LLMs.

Simple and efficient Python ML library for classical algorithms.

Data analysis and manipulation library for Python.

Fundamental package for scientific computing in Python.

ML experiment tracking, model versioning and dataset management.

Open-source ML lifecycle management — tracking, models and registry.

Open-source model serving and deployment framework.

Open-source distributed computing framework for ML and AI applications.

Google managed ML platform for training, deploying and monitoring models.

AWS fully managed ML service for end-to-end model development.

Microsoft cloud ML service for building and deploying models at scale.

Lakehouse platform for data engineering, analytics and ML.

Cloud data warehouse with ML capabilities and data sharing.

Google serverless data warehouse with ML integration.

Data transformation tool for analytics engineering — SQL-based.

Unified analytics engine for large-scale data processing.

Gradient boosting framework by Microsoft — fast and memory efficient.

Scalable tree boosting system — often wins Kaggle competitions.

Automatic hyperparameter optimisation framework.

Open-source ML model monitoring and data drift detection.

Open-source data validation and documentation framework.

Open-source feature store for machine learning.

Open-source data labelling tool for training data annotation.

Computer vision platform for dataset management, training and deployment.