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.
4.6
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
Sold by
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
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Package Management
Language-agnostic conda package manager supporting installation of over 4,000 packages including TensorFlow, Keras, xgboost, and Caffe
Pre-configured Data Science Libraries
Over 300+ open-source data science packages including NumPy, SciPy, pandas, matplotlib, scikit-learn, and Jupyter
Security Vulnerability Monitoring
Comprehensive security vulnerability monitoring and mitigation with security and governance capabilities including user-access controls, signature verification, and policy filters
Software Supply Chain Security
Software bill of materials (SBOM) generation and security governance capabilities to secure the software supply chain for data science and AI
Enterprise Access Control
User-access controls and policy filters for governing use of open-source software across the enterprise
Deep Learning Framework
Pre-installed PyTorch 2.0.1 with TorchVision, NumPy, and other PyTorch-related packages for model development and inference
GPU Acceleration Support
NVIDIA drivers with CUDA and cuDNN optimization for GPU-accelerated computing on EC2 GPU instances including P4, P3, and G5
Operating System
Amazon Linux 2 base operating system providing lightweight, secure, and stable environment with AWS service compatibility
EC2 Instance Compatibility
Optimized support for GPU-based Amazon EC2 instance types including P4, P3, and G5 for large-scale training and deployment
Pre-configured Development Environment
Pre-configured with essential deep learning libraries and developer tools for immediate use without additional setup requirements
Multi-User Notebook Server
Pre-configured JupyterHub server capable of serving Jupyter notebooks to multiple concurrent users
Multiple Python Versions
Support for multiple Python versions installed and available within the environment
Pre-installed Data Science Libraries
Popular data science Python packages and SageMath pre-installed and configured
Extensive Python Package Ecosystem
Hundreds of Python packages available for data science, scientific computing, and development workflows
Standard contract
No
Customer reviews
Firdavs S.
Great for Learning, Needs a Friendlier Interface
Reviewed on Jan 24, 2026
Review provided by G2
What do you like best about the product?
I find the Anaconda AI Platform very easy to use for data science workflows, which is great for both learning and experimenting. Its enterprise pricing plans are quite affordable and ideal for my needs. I appreciate that it has integrated tooling, notebooks, package managers, interpreters, and all the main libraries already in place, making it very useful for building workflows and practicing skills. It's also accessible for beginners and students who are learning data science and AI.
What do you dislike about the product?
Yes. The interface could be made more user friendly because right now it's a bit hard to get used to at first. And, also, it's very heavy and resource intensive, I would say. And the free tier is limited as well. So that could be improved. Those problems could be solved.
What problems is the product solving and how is that benefiting you?
I use Anaconda AI Platform to learn Python and improve my coding skills. It solves the problem of experimentation and helps me build small systems for my data science lessons. It's easy to use for learning data science workflows.
pravallika .
A Time-Saving Platform for Data Science and AI
Reviewed on Jan 24, 2026
Review provided by G2
What do you like best about the product?
Anaconda has been very useful in resolving some of the current issues that were accruing in the environment setup, dependency management, and other tool-related issues. Previously, setting up the environment has been tedious; however, with Anaconda, this has been made very easy, allowing me to concentrate on data analysis rather than constantly fighting with setup issues.
What do you dislike about the product?
There is something that I dislike about Anaconda, however. One feature that I dislike is that sometimes the site can be a bit heavy, especially at times of startup or updating. Conflicts in packages still occur, albeit rarely. At times, resolving these could take extra time. The variety of features could be overwhelming to new users.
What problems is the product solving and how is that benefiting you?
Anaconda AI Platform helps with various challenges like dependency conflicts, environmental issues, or dealing with several Python libraries. Prior to the usage of Anaconda AI Platform, a great deal of effort went into resolving environmental issues or having to re-install various packages. At the moment, the experience is much neater and conducive, which is helpful because it saves me time and helps me focus on data analyses.
Murphy Ogbeide
Data analysis workflows have become faster and now support collaborative modeling and NLP projects
Reviewed on Jan 19, 2026
Review provided by PeerSpot
What is our primary use case?
I have been using Anaconda Business for a couple of years since 2022 when I started data analysis, utilizing it for Python programming to query and analyze my data.
My main use cases for Anaconda Business include querying data, analyzing data, building machine learning models, and writing academic projects to create insights from data and obtain findings.
A specific project where Anaconda Business helped me achieve my goals involved analyzing data, querying large datasets, and cleaning the data. I utilized Python programming to run my data through the Python extension and employed it for Natural Language Processing as well.
Another important use case with Anaconda Business involved addressing challenges while writing a project by using Anaconda's Jupyter Notebook to query, analyze, and clean data while ensuring I could run it through some models and obtain findings.
How has it helped my organization?
Anaconda Business has positively impacted my organization by easing the burden of querying large datasets that would otherwise slow down our work when using Excel.
Since switching to Anaconda Business, I have improved productivity by around 80%, saving time in data crunching and exploration.
What is most valuable?
The best features Anaconda Business offers include its various tools for analysis, including Jupyter Notebook, which stands out to me for being able to upload data easily and perform data analysis and visualization.
Anaconda Business supports Python and non-Python programming, provides access to multiple libraries, and allows for collaboration and deployment. My colleague and I used Jupyter Notebook for our collaborative work.
What needs improvement?
I believe Anaconda Business can be improved in terms of performance and speed, particularly regarding the installation process and efficiency to avoid system freezing.
For how long have I used the solution?
I have been using Anaconda Business for a couple of years since 2022 when I started data analysis, utilizing it for Python programming to query and analyze my data.
What do I think about the stability of the solution?
Anaconda Business is stable to an extent, but it sometimes crashes on systems with insufficient RAM, leading me to switch to Google Cloud for Jupyter Notebook usage at times.
How are customer service and support?
I have reached out to their support once, and I found their response was prompt and satisfactory.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
Before using Anaconda Business, I used the Python console but switched to Jupyter Notebook in Anaconda for its user-friendly interface that allows me to see my work clearly.
What was our ROI?
I have seen a return on investment from using Anaconda Business as I use it for querying data and driving informed decisions, which has helped me earn money for various projects.
Which other solutions did I evaluate?
Before choosing Anaconda Business, I evaluated R for data visualizations.
What other advice do I have?
My advice for others looking into using Anaconda Business is to have a good laptop to ensure it runs smoothly without hanging. I would rate this product an 8 overall.
Gareth J.
Effortlessly Boosted My Workflow
Reviewed on Jan 11, 2026
Review provided by G2
What do you like best about the product?
I like how the Anaconda AI Platform helps me get my work done faster and easier. It's all-round really good, and I find it very easy to set up.
What do you dislike about the product?
I haven't found anything I dislike
What problems is the product solving and how is that benefiting you?
Anaconda AI Platform improves my workflow, helps me figure out steps when I'm stuck, and makes work faster and easier.
Ashaolu t.
Seamless Interface, Perfect for Beginners
Reviewed on Jan 02, 2026
Review provided by G2
What do you like best about the product?
I love that Anaconda AI Platform makes the user interface seamless and legible, especially for new users like me. It's a great platform for following what I'm being taught in data analysis courses on LinkedIn Learning. I find the visual clarity it provides invaluable as a beginner, helping me follow through and learn each step. The setup is amazing with a step-by-step guide and lots of materials available on the platform to help with any issues. I also appreciate the seamless user journey without any problems.
What do you dislike about the product?
I don't know if I'm saying the right thing, but there could be the option for different language functionality. For someone like me who speaks other languages, and other people in places like Africa, I believe that with other indigenous languages available, it would help people who don't understand English because obviously the default language is English.
What problems is the product solving and how is that benefiting you?
I find Anaconda AI Platform simple and seamless, with a user-friendly interface that provides visual clarity. It's been the best for learning data analysis, allowing me to follow lessons easily and learn each step as a beginner.