Kaggle

Overview

Kaggle is the world's AI proving ground, an open platform where more than 33 million builders, researchers, and labs gather to discover what actually works in AI. The platform brings together crowdsourced benchmarks, competitions, hackathons, and an extensive repository of data science resources. From quick experiments to large-scale collaborative challenges, Kaggle provides an environment for testing models, sharing knowledge, and advancing the frontier of machine learning. Users can participate in flagship competitions such as ARC Prize 2026, analyze agentic play for the Pokémon Company's AI Battle Challenge, or access benchmarks that reveal how the latest LLMs perform on factual accuracy, reasoning, and domain-specific tasks.

The product is built around several core capabilities. Kaggle Competitions and Hackathons are co-hosted by world-class research organizations and companies, offering real-world problems, substantial prize pools, and a way to build a competitive portfolio. Kaggle Benchmarks offers an open-source SDK that lets users create and run custom evaluations for LLMs and generative AI at no cost; published benchmarks such as the FACTS Benchmark Suite from Google DeepMind, the WWTP Engineering Benchmark, and the ICML 2025 Experts Benchmark demonstrate the breadth of evaluation targets. The platform also gives immediate access to 726K high-quality public datasets, spanning everything from avocado prices and video game sales to scholarly papers in the arXiv dataset. In addition, 1.8M public notebooks and 50,000 pre-trained models are available, including popular open models like Gemma, Llama 2, and DeepSeek R1. Notebooks run in a powerful cloud environment with free GPUs and TPUs, enabling users to execute Python code and machine-learning workflows directly in the browser.

Learning is a central pillar of Kaggle. More than 70 hours of hands-on courses are available, with topics ranging from introduction to Python and pandas to intermediate NLP and benchmark evaluation. Courses such as Intro to Programming, Python, Intro to Machine Learning, and Pandas guide beginners step by step; advanced learners can explore the latest techniques in Kaggle competitions and write-ups. Upon completion, learners receive signed certificates. The community, made up of 33 million data scientists, ML engineers, and enthusiasts, contributes write-ups, notebook solutions, and discussions, helping everyone understand what worked and what did not in competitions. Top competitors share detailed solution write-ups, such as 1st-place approaches for Quora Question Pairs, Web Traffic Time Series Forecasting, and other challenges, making tacit knowledge explicit.

Beyond individual learning, Kaggle supports enterprises and research organizations. Enterprises can host public or private hackathons, attract top AI talent, and source solutions to internal problems through the new private option. Researchers can develop, publish, and maintain rigorous benchmarks on an open platform, and apply for grant programs that provide compute and infrastructure support. With 33,000 competitions, 6,000 solution write-ups, and over 33 million active members, Kaggle is not only a dataset repository or notebook host; it is a constant, large-scale experiment in what actually works in AI. Whether you are evaluating a new model, learning a skill, or recruiting a team, Kaggle offers the practical infrastructure for the next generation of AI development.

Core capabilities

Competitions & Hackathons

Participate in competitions co-hosted by world-class research organizations and companies, apply ML skills to real-world problems, and win prizes.

Benchmarks SDK

Use the open-source SDK to create and run custom evaluations for LLMs and GenAI at no cost, with rigorous and reproducible results.

Reproducible Notebooks

Access 1.8M public notebooks and a powerful cloud notebook environment with free GPUs and TPUs for hands-on model building.

Datasets

Explore 726K high-quality public datasets spanning diverse fields, from finance and sports to image recognition and scientific papers.

Pre-trained Models

Deploy any of 50,000 ready-to-use models, including Gemma, Llama 2, and DeepSeek R1, with support for popular ML frameworks.

Learn Courses

Access 70+ hours of free, hands-on courses covering Python, pandas, machine learning, NLP, and benchmark evaluation, with signed certificates.

Solution Write-ups

Learn from top competitors' detailed 1st-place solutions, understanding which techniques worked, which failed, and why.

Private Hackathons

Run exclusive, closed-door hackathons for internal teams to solve company-specific problems and source top AI talent.

Use cases

Evaluating LLMs and GenAI models on custom, domain-specific benchmarks before deployment

Training models on free GPUs/TPUs using public datasets and notebooks

Building a public portfolio of ML projects and competition achievements

Hosting private hackathons for internal team skill-building and problem-solving

Developing and publishing rigorous, crowdsourced benchmarks for the AI community

Learning new ML techniques quickly through hands-on courses and solution write-ups

Sourcing top AI talent and innovative solutions from a global community