Anaconda

The Operating System for AI

Freemium

Description

Anaconda offers a comprehensive platform designed to streamline the entire data science and artificial intelligence lifecycle. It provides a robust open ecosystem centered around its popular distribution, enabling users to easily source and manage thousands of curated packages through tools like Conda and Anaconda Navigator. The platform facilitates development with cloud-hosted environments like Anaconda Notebooks, offering storage, compute resources, and collaborative features, alongside desktop applications like AI Navigator for generative AI tasks.

Beyond individual development, Anaconda supports enterprise needs with scalable solutions for secure package management, governance, and collaboration. Features like the Package Security Manager provide vulnerability data and audit logs, ensuring a secure software supply chain. Anaconda facilitates building models using familiar IDEs and offers deployment options for APIs, applications, and dashboards, catering to various industries including finance, healthcare, and technology. The platform also includes resources like Anaconda Learning for skill development and professional services for tailored support.

Key Features

Anaconda Distribution: Access trusted public and private repositories for data science packages.
Cloud Suite & Notebooks: Cloud-based coding environments with storage, compute, sharing, and AI Assistant.
Package Security Manager: Secure your software supply chain with a trusted asset repository and vulnerability data.
On-Premises LLM: Capability to build custom generative AI models within your own infrastructure.
AI Navigator: Desktop application designed for interacting with and managing generative AI models.
Conda Package Management: Open-source system for managing packages and environments.
Anaconda Learning: Access free and paid courses to advance AI, data science, and Python skills.
Enterprise Governance & Security: Tools for user access control, audit logs, and secure collaboration.
Deployment Solutions: Deploy models and applications as APIs, interactive dashboards, or standalone apps.

Use Cases

Managing Python/R data science environments and dependencies.
Developing, training, and testing machine learning models.
Securing the open-source software supply chain for enterprises.
Collaborating on data science projects within teams.
Deploying AI models and applications into production environments.
Building and hosting custom large language models (LLMs) on-premises.
Utilizing Python capabilities directly within Microsoft Excel.
Scaling AI and data science initiatives across large organizations.
Accessing curated and secure open-source packages.

Frequently Asked Questions

How do I get started with Anaconda Business or Anaconda Enterprise?

Create your account to access the professional repository, tokenized user access controls, cloud-hosted Anaconda Notebooks, and Anaconda Learning for training.

How do I get started with Free or Starter?

Simply create your free Anaconda Cloud account to get started coding immediately in Notebooks, a fully loaded, configured, and ready-to-code interactive development environment.

What is included with the Anaconda Free plan?

The Free plan gives access to cloud-hosted and locally distributed Python packages, Anaconda Notebooks with 5GB of storage, basic compute (1K seconds daily), 30 AI Assistant requests per month, and access to introductory Anaconda Learning courses.

How should I choose between Anaconda Cloud-hosted or On-prem offerings?

Cloud-hosted options are best for organizations wanting to minimize implementation and maintenance, without needing on-premises installation. On-prem plans involve installation on your infrastructure or private cloud.

How should I choose between Anaconda Business and Anaconda Enterprise plans?

The Business plan is suitable for teams using Python and cloud infrastructure with advanced security and governance needs. Enterprise plans cater to larger organizations needing broader collaboration capabilities for deploying secure projects across multiple teams.