Best AI Tools for Data Scientists

Anthropic's flagship AI model launched in May 2025, featuring a 200K token context window, state-of-the-art reasoning, and extended autonomous task execution capabilities (up to 7 hours).

Aqua Security: Cloud-native security platform. AI-powered threat detection & protection for containers, Kubernetes, serverless.

21st.dev: AI-native MLOps & LLMOps platform. Build, deploy, and manage AI applications with speed and reliability.

Multilingual large language model offering robust API access for developers with high context capabilities.

Meta's open-source LLM designed for powerful performance in research and real-world applications.

Open-weight language model delivering fast, accurate, and efficient generative AI for enterprise and research.

An AI-driven diagramming application designed to help professionals create various types of charts and diagrams quickly from input requirements.

An AI platform focused on enabling developers and businesses to build, deploy, and scale machine learning models and AI agents, potentially with features for data labeling and workflow automation.

An AI-powered code review tool that integrates with Git platforms (GitHub, GitLab, Bitbucket) to automate pull request (PR) reviews and provide feedback.

An AI platform that transforms spreadsheets (CSV files) into interactive web dashboards and applications without requiring coding.

Google's advanced AI model, equipped with "thinking" capabilities, excels in complex problem-solving and coding tasks.