Sold by: Anaconda
Deployed on AWS
With 45 million users, Anaconda is the world's most trusted open-source package provider and the foundation of modern AI development. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make possible the advancements of tomorrow. With 93% of Fortune 500 as customers, Anaconda's enterprise-grade solutions enable corporate, research, and academic organizations around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world.
4.5
Overview
Anaconda is the world's trusted Python distribution. Installing Anaconda here provides access to Anaconda Distribution, an open-source software repository for data science and AI that includes package and dependency management. It also provides the capabilities of Anaconda AI Platform for securing, governing, and distributing artifacts to users in your organization.
Anaconda AI Platform includes:
- Over 300+ open-source data science packages, including NumPy, SciPy, pandas, matplotlib, scikit-learn, and Jupyter.
- Language-agnostic conda package manager to install more than 4,000 packages, including Tensorflow, Keras, xgboost, and caffe or Miniconda, a minimal bootstrap of conda.
- Comprehensive security vulnerability monitoring and mitigation by Anaconda's team.
- Security and governance capabilities, including user-access controls, signature verification, policy filters, and software bill of materials (SBOM).
Highlights: Anaconda is trusted by the world's most innovative organizations to provide access to popular open-source software packages and capabilities to secure the software supply chain for data science and AI. Access over 12,000 compatible open-source data science and AI packages. Govern use of open-source software across the enterprise and monitor security vulnerabilities.
Trusted by 50 million users, 95% of Fortune 500 companies, and 79% of the Global 2000, and recognized as one of Fast Company's most innovative companies and G2's Grid Leader in Data Science & Machine Learning, the Anaconda AI Platform centralizes your approach to sourcing, securing, building, and deploying AI, boosting productivity while reducing time, cost, and risk.
Highlights
- Anaconda is trusted by the world's most innovative organizations to provide access to popular open-source software packages and capabilities to secure the software supply chain for data science and AI.
- Access over 300+ open-source data science and AI packages.
- Govern use of open-source software across the enterprise and monitor security vulnerabilities.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Starter | It is only available to individuals, universities, as well as companies with fewer than 200 employees. Any organization of more than 200 employees requires a Business license. | $180.00 |
Business | Licenses for Access to Business Cloud. Includes Tier 1 support tickets and Tier 2 support hours. | $600.00 |
Dimension | Description | Cost/unit |
|---|---|---|
additional_usage | Additional Usage | $0.01 |
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Anaconda technical support hours are 6 AM to 6 PM CST Monday - Friday.
https://anaconda.cloud/support-center
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Anaconda
By Elm Computing
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
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Positive reviews
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AI generated from product descriptions
Package Management
Language-agnostic conda package manager supporting installation of over 4,000 packages including machine learning frameworks
Data Science Libraries
Comprehensive collection of over 300 open-source data science packages including NumPy, SciPy, pandas, matplotlib, scikit-learn, and Jupyter
Security Governance
Advanced security capabilities including user-access controls, signature verification, policy filters, and software bill of materials (SBOM)
Vulnerability Monitoring
Comprehensive security vulnerability tracking and mitigation performed by dedicated security team
Open-Source Distribution
Extensive open-source software repository for data science and AI with support for multiple programming languages and machine learning tools
GPU Acceleration
Includes NVIDIA drivers, CUDA, and cuDNN for high-performance GPU-based deep learning computations
Deep Learning Framework
Pre-installed PyTorch 2.0.1 with support for advanced machine learning model development
Operating System
Built on Amazon Linux 2, providing a lightweight and secure cloud-optimized environment
Machine Learning Libraries
Pre-configured with essential libraries including TorchVision, NumPy, and PyTorch-related packages
Cloud Instance Compatibility
Supports multiple GPU-based EC2 instances for scalable AI training and inference tasks
Multi-Version Python Support
Provides multiple Python versions for development and data science environments
Data Science Package Ecosystem
Includes extensive collection of popular data science Python packages
Collaborative Notebook Platform
JupyterHub server configured for multi-user notebook sharing and collaboration
Scientific Computing Integration
Includes SageMath for advanced mathematical and scientific computing capabilities
Pre-Configured Development Environment
Pre-configured server environment with comprehensive Python package ecosystem
Standard contract
No
Customer reviews
Ananthakrishnan B.
Effortless Dependency Management and Quick Setup
Reviewed on Dec 19, 2025
Review provided by G2
What do you like best about the product?
I use Anaconda AI Platform for a research project to manage packages with dependency conflicts. I find that conda, in particular, helps me isolate certain packages in their compatible Python versions, which makes it extremely easy and reproducible. I also appreciate using Anaconda environments on Lightning AI because the ease of use and compatibility with GPUs out of the box stand out to me. It saves me a lot of time, especially on cloud environments where I would have to recompile CPython every time I use a new VM. Switching from CPython to Anaconda was a great upgrade, and I found that setting up Anaconda AI Platform was seamless, much easier than compiling my own Python.
What do you dislike about the product?
I haven't explored it too much so I don't think I can answer that properly, but here's something that was a pain point: Wouldn't it be better if pip packages were somehow integrated into conda?
What problems is the product solving and how is that benefiting you?
I use Anaconda AI Platform to manage package dependency conflicts, making package management easy and reproducible. It saves me time by avoiding manual compilation of Python versions and is seamless in setup. I appreciate the GPU compatibility and ease of use in cloud environments.
Harikrishna Rao M.
Reliable, Secure, and User-Friendly Data Science Platform
Reviewed on Dec 17, 2025
Review provided by G2
What do you like best about the product?
I really like the reliability and simplicity of Anaconda AI Platform in managing complex data science projects. The ability to create, isolate, and reproduce environments has significantly reduced bottlenecks for me. I also appreciate the curated package ecosystem and the built-in security scanning, which provide confidence when using open-source libraries. The platform's reliability ensures environments behave consistently across various phases, and its simplicity lowers the barrier for onboarding and accelerates project startups. The security feature reduces the risk associated with using open-source packages, giving visibility into known vulnerabilities and ensuring that libraries come from trusted, vetted sources. Additionally, the initial setup was really straightforward.
What do you dislike about the product?
Environment resolution and package installation can occasionally be slow, particularly for complex environments with many dependencies. Clear documentation and guided workflows for deployment integrations would help reduce start/set-up time and improve discoverability.
What problems is the product solving and how is that benefiting you?
I use Anaconda AI Platform to manage data science workflows, handling environment management and dependency conflicts. It simplifies onboarding, speeds up project startups, and reduces risks with open-source packages through built-in security. Reliability and a curated package ecosystem help maintain consistent environments.
Esma D.
Diverse and Easy to Use, Despite Initial Obstacles
Reviewed on Dec 15, 2025
Review provided by G2
What do you like best about the product?
I find the Anaconda AI Platform very versatile, and I appreciate that you can use many different tools. I particularly like using Jupyter Notebook or Spyder, as errors are displayed and explained. Additionally, I find the usage quite straightforward and easy.
What do you dislike about the product?
At the beginning, the download was a bit confusing, and I didn't really understand which tool I should use in Anaconda. It could be clearer and usable for more things.
What problems is the product solving and how is that benefiting you?
I use the Anaconda AI Platform in lectures to solve programming tasks and build programs. The errors are explained, which makes the usage simple and manageable, and I appreciate the variety of tools, especially Jupyter Notebook and Spyder.
Anibal A.
practicality for data science projects
Reviewed on Dec 09, 2025
Review provided by G2
What do you like best about the product?
It greatly helps with data simplification, library updates, and even third-party packages.
What do you dislike about the product?
mainly the high consumption of resources with limited space generates slow performance
What problems is the product solving and how is that benefiting you?
the complexity in the manual installation of libraries for projects
Chigozie U.
Effortless Setup, Perfect for Machine Learning
Reviewed on Dec 09, 2025
Review provided by G2
What do you like best about the product?
I really appreciate how Anaconda AI Platform is very good at setting up the environments for you. Also, the UX is very nice, making it a pleasant experience to use. The initial setup was very easy, so much that if you just see someone do it, you could do it yourself.
What do you dislike about the product?
I don't like it not connecting to my localhost.but I think that was a me problem
What problems is the product solving and how is that benefiting you?
I use the Anaconda AI Platform to practice Python for machine learning, and it simplifies environment setup with a very nice UX.