Last Updated

Key Takeaways

Generated from the text of customer reviews

Anaconda is a data science and AI platform used by data scientists and developers across education, finance, research, and enterprise environments. Users often praise its package management tools and ease of working within one environment. Some, however, report that the interface can feel slow on certain devices. Recently, Anaconda has acquired Outerbounds, adding tools that support the transition of AI projects from development to production.

Our Verdict

The software is a strong fit for data science, machine learning, tech and research teams that need a dependable Python ecosystem. It offers good long-term value for organizations managing complex projects, though some individual users may find paid plans expensive. We recommend it for researchers and growing teams that want a stable platform for analytical work.

Anaconda Specifications

  • Regulatory Compliance Tracking
  • Audit Management
  • Policy and Document Management
  • Risk Assessment and Mitigation

Anaconda Features

Trusted Artifacts

Anaconda provides access to thoroughly vetted packages and AI artifacts, offering complete visibility into dependencies and components. This ensures potential vulnerabilities are identified early while accelerating development cycles across multiple projects and environments.

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Vulnerability Scanning

The platform performs comprehensive vulnerability scanning across packages, dependencies, and development environments. It identifies security risks before they impact operations, enabling proactive mitigation, and ensuring that data science and AI workflows maintain integrity and reliability consistently.

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Automated Security Policies

The software allows the definition and enforcement of automated security policies tailored to organizational compliance standards. It ensures consistent application of rules across environments, minimizing risk exposure, and maintaining alignment with internal and regulatory requirements.

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License Filtering

Anaconda offers license filtering to ensure adherence to open-source license requirements. Non-compliant licenses can be automatically flagged or excluded, allowing development teams to maintain legal compliance while leveraging trusted open-source packages efficiently.

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Regulatory Compliance Support

Anaconda incorporates robust built-in security features that facilitate compliance with GDPR, HIPAA, and CCPA. It enables secure management of sensitive data, maintaining audit readiness, and ensuring regulatory requirements are consistently met across all development and deployment environments.

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Anaconda Assistant

Anaconda includes an AI-powered coding assistant that works directly within notebooks. Users can generate code, troubleshoot errors, and understand existing code without leaving their development environment. It can also create visualizations and help users explore datasets more effectively.

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Pros And Cons of Anaconda

Pros

  • Supports automatic version management and library updates

  • Cross-platform support for Windows, macOS, and Linux is available

  • Facilitates multi-tasking in data science and analytics projects

Cons

  • Initial setup requires an adjustment period

  • Difficult navigating large code modules efficiently

Anaconda Pricing

Free

Starter

Business

Custom

  • Anaconda Core for Python package management

  • Building and sharing notebooks with 5GB cloud storage

  • Thousands of data science, ML, and AI packages

  • Code help with Anaconda Assistant

  • Introductory courses

  • Everything in Free, plus:

  • Collaboration on larger projects with 10GB storage/user

  • Deployment of models with professional development environment

  • On-demand training courses

  • Team workspace controls

  • Everything in Starter, plus:

  • Automated vulnerability scanning

  • Compliance management with audit trails and project governance controls

  • Centralized access management and Enterprise SSO

  • Threat intelligence and curated security data

  • Custom hosting options (self-host on-premises, in private cloud, or public cloud)

  • Anaconda Core

  • Advanced governance for multi-team collaboration

  • Custom integrations with existing tools and workflows

  • Custom SLA agreements for mission-critical workloads

Disclaimer: The pricing details were last updated on Aug 21, 2026 from the vendor's website. Please contact us for a tailored pricing list.

Anaconda Reviews

Total 24 reviews

4.5

All reviews are from verified customers

Rating Distribution

5

Stars

58%

4

Stars

38%

3

Stars

4%

2

Stars

0%

1

Stars

0%

Share your experience

EW

Essence W.

Education Management, 51-100 employees

Less than 6 months

4.0
March 2026

Useful for notebooks and ML

Pros

Anaconda has been really useful when I am working on Python and R practice and it makes sharing notebooks with other people convenient. Since I use machine learning a lot, it's especially helpful for that kind of work.

Cons

There's definitely a bit of a learning curve to get used to it and since I use Databricks more often now, I don't end up using itas much as I used to.

Rating Distribution

Ease of use

7

Value for money

8

Customer Support

8

Functionality

8

AR

Aditya R.

Computer Networking, 1-10 employees

Less than a year

5.0
January 2026

A complete tool

Pros

Having everything bundled in one place is what I like most about this tool. Setting up Python, managing packages and using tools such as Jupyter Notebook is much easier especially for data analysis work. Plus it cuts down on setup headaches, saves a lot of time and allows me to spend more energy learning and building projects instead of troubleshooting environment issues.

Cons

One downside is that it can feel heavy and a bit slow especially on machines with limited resources. And though its environment management is powerful but it can be a little confusing at first and may sometimes cause version conflicts. Plus updates and package installs can take longer than expected which can break concentration and slow down the workflow.

Rating Distribution

Ease of use

9

Value for money

10

Customer Support

9

Functionality

10

TM

Terry M.

Mining & Metals, 500+ employees

More than a year

5.0
May 2025

Tool I rely on

Pros

Anaconda has been the best package management option I have used for Python and I also like having two IDE choices available with Jupyter and Spyder.

Cons

The issue I noticed is that packages managed through conda often fall behind the latest official releases and installing with pip can quickly lead to dependency conflicts.

Rating Distribution

Ease of use

10

Value for money

10

Customer Support

10

Functionality

10

Frequently Asked Questions

What language does Anaconda support?

Anaconda primarily supports the English language.

What types of pricing plans does Anaconda offer?

Anaconda offers flexible pricing plans to suit various organizational needs, including Free at $0, Starter at $15/month per user, Business at $50/month/user, and Custom with tailored pricing. Request a detailed Anaconda cost breakdown for your organization today.

Does Anaconda have a mobile app?

No, Anaconda does not offer a dedicated mobile application.

What other apps does Anaconda integrate with?

Anaconda integrates with a variety of applications, including Microsoft Excel, Databricks, NVIDIA CUDA, and JupyterHub.

Does Anaconda offer an API?

Yes, Anaconda offers an API.

What level of support does Anaconda offer?

Anaconda offers support through blogs, events, guides, documentation, community forums, an online contact form, and a support center.

Who are the typical users of Anaconda software?

Anaconda features are used by businesses across a variety of industries and sectors, including financial services, government, education, healthcare, manufacturing, and technology.