Pricing score

7

Anaconda Pricing Profile

Anaconda is an open-source distribution of the Python and R programming languages, designed specifically for data science, machine learning, scientific computing, and big data analytics.

Key Takeaways

Pre-installed Libraries and Tools

Anaconda comes with more than 1,500 open-source packages pre-installed, including popular libraries.

Integrated Development Environments

Anaconda includes Jupyter Notebooks and Spyder IDE as integrated development environments. These tools are specifically designed for data science.

Cross-Platform Support

Anaconda is compatible with Windows, macOS, and Linux, enabling data scientists to create and manage environments that work seamlessly across different operating systems.

Product Overview

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Anaconda simplifies package management and deployment, making it an essential tool for developers, data scientists, and researchers who need to manage complex computational environments and libraries.

Anaconda provides a suite of tools for working with data science workflows, including tools for data visualization, machine learning, statistical analysis, and more. It includes a wide range of pre-installed libraries and packages, as well as a package manager (Conda) that simplifies the installation, versioning, and management of libraries and environments.

INSIGHTS

Our insights about Anaconda pricing

01

Free trial

02

Custom options

03

On-prem plans

Available Pricing Models

How much does Anaconda cost?

Anaconda Free plan gives you access to cloud-hosted and locally distributed Python packages. The cloud distribution is preconfigured in Notebooks, where you get 100MB of storage and access to high compute for your data science and machine learning projects.

Starter

  • 10GB for shareable, cloud-hosted notebooks, on-demand training courses.
  • $15 per user/month.

Business

  • Open-source software supply chain security tools, curated vulnerability data, audit logs.
  • $50 per user/month.

Enterprise

  • Data Science & AI Workbench, avanced collaboration, administrative, and governance tools, one-click deployment.
  • Custom pricing.

What users say about Anaconda pricing

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Varad V.

Anaconda's platform is very easy to use. It can be understood pretty well by beginners which makes it beginner friendly and user friendly. Personally, I use Anaconda because it does the job even after being open source. It's package management ability is the best. One cam find every package in Anaconda environment. It's also good for using virtual environments.

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Pranjal G.

I really like how Anaconda makes coding feel like a breeze. The best part is the simplicity - installing and managing all the tools I need is super easy. It's like a magic box that brings everything together for smooth coding adventures. The variety of packages and the way it handles data science tasks? Just awesome! Anaconda truly takes the hassle out of setting up, so I can focus more on my code and less on technical headaches. Thumbs up for making my coding journey so much smoother!

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Kush R.

It has a large set of apps for data science development, like Jupyter lab and Jupyter notebooks.

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Manish S.

It's easy to install and beginner freindly which makes it the best tool. Its upside is that it has multiple tools inside and my favourite is jupyter notebook.

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Sarah S.

Anaconda is home to several open source platforms; orange, tableau,IBM watson Studio, etc. Here you can test and validate AI/ML algorithms and analytical models for deployment on cloud. These analytical models are integratable or transferable to large platforms like, AWS, IBM or Microsoft Azure, etc.

avatar

Varad V.

Anaconda's platform is very easy to use. It can be understood pretty well by beginners which makes it beginner friendly and user friendly. Personally, I use Anaconda because it does the job even after being open source. It's package management ability is the best. One cam find every package in Anaconda environment. It's also good for using virtual environments.

avatar

Manish S.

It's easy to install and beginner freindly which makes it the best tool. Its upside is that it has multiple tools inside and my favourite is jupyter notebook.

avatar

Pranjal G.

I really like how Anaconda makes coding feel like a breeze. The best part is the simplicity - installing and managing all the tools I need is super easy. It's like a magic box that brings everything together for smooth coding adventures. The variety of packages and the way it handles data science tasks? Just awesome! Anaconda truly takes the hassle out of setting up, so I can focus more on my code and less on technical headaches. Thumbs up for making my coding journey so much smoother!

avatar

Sarah S.

Anaconda is home to several open source platforms; orange, tableau,IBM watson Studio, etc. Here you can test and validate AI/ML algorithms and analytical models for deployment on cloud. These analytical models are integratable or transferable to large platforms like, AWS, IBM or Microsoft Azure, etc.

avatar

Kush R.

It has a large set of apps for data science development, like Jupyter lab and Jupyter notebooks.

Anaconda Pricing Rating

Cloud Integration: 4.8/5

Anaconda integrates with cloud platforms like Amazon Web Services (AWS) and Microsoft Azure, allowing data scientists to run large-scale machine learning and data analytics workloads in the cloud.

Security and Compliance: 4.7/5

Anaconda provides enterprise-level security features for managing Python environments and libraries, including tools for managing dependencies and ensuring that libraries are safe, up-to-date, and compliant with your organization's requirements.

Data Science at Scale: 4.9/5

With tools like Dask and Apache Spark, Anaconda enables users to work with very large datasets that may not fit into memory on a single machine, scaling up the computing capabilities for more complex data science tasks.

FAQ on Anaconda Pricing

What is Anaconda Cloud?

Anaconda Cloud is a service where you can share and access public and private environments, packages, notebooks, and datasets. You can upload your own libraries and environments or explore and use those shared by others. It's particularly useful for collaboration in data science teams.

Is Anaconda suitable for use in production environments?

Anaconda is primarily designed for data science and research workflows, but it can be used in production environments, especially when integrated with Anaconda Enterprise. Anaconda Enterprise provides additional tools for scaling, managing, and deploying machine learning models and applications in enterprise environments.

Can I use Anaconda with other programming languages besides Python?

Yes! While Python is the most commonly used language in Anaconda, you can also use R. Anaconda has a distribution for R that includes R libraries and tools, which can be installed and managed in environments just like Python packages.

Can I install Anaconda on Windows Subsystem for Linux (WSL)?

Yes, Anaconda can be installed on Windows Subsystem for Linux (WSL), which allows you to run a Linux distribution on Windows. To install Anaconda in WSL, you can follow the standard installation instructions for Linux. This provides the full capabilities of Anaconda in a Linux environment within Windows.