Anaconda Reviews

Name: Anaconda
Brand: Anaconda
Rating: 4.1 (19 reviews)

4.1 out of 5

19 reviews
95% willing to recommend

1,943 followers

What is Anaconda?

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

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Anaconda is the #11 ranked solution in top Data Science Platforms. PeerSpot users give Anaconda an average rating of 8.2 out of 10. Anaconda is most commonly compared to Databricks: Anaconda vs Databricks. Anaconda is popular among the large enterprise segment, accounting for 71% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 20% of all views.

Helped 848,716 peers since 2012

Featured Anaconda reviews

Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.

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Subhransu Nayak

Consultant - Data Analytics and Reporting at a tech vendor with 51-200 employees

Some basic tutorials can be found on YouTube, which can help you understand how Anaconda services work. Watching these tutorials can make it easier for someone to use the product. Using it for the first time can be considered at a medium difficulty level, neither too easy nor too difficult. The package management system has greatly improved my development process. I can easily install and incorporate any package I need into my work. I rate the overall product an eight out of ten.

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Shmulik Davar

VP Product at Medint

I use Anaconda for predictions, building models, and incorporating them within the product for specific use cases Anaconda is an open-source platform that can integrate numerous other kits and models in one place. It offers effective package management capabilities that are beneficial. By having…

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Anaconda mindshare

As of April 2025, the mindshare of Anaconda in the Data Science Platforms category stands at 2.1%, down from 2.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Science Platforms

PeerResearch reports based on Anaconda reviews

Type	Title	Date
Category	Data Science Platforms	Apr 24, 2025	Download
Product	Reviews, tips, and advice from real users	Apr 24, 2025	Download
Comparison	Anaconda vs Databricks	Apr 24, 2025	Download
Comparison	Anaconda vs KNIME	Apr 24, 2025	Download
Comparison	Anaconda vs Amazon SageMaker	Apr 24, 2025	Download

Title	Rating	Mindshare	Recommending
Databricks	4.1	18.2%	96%	88 interviews Add to research
KNIME	4.1	11.7%	94%	60 interviews Add to research

Valuable Features

Anaconda's most valued features include Jupyter Notebook for immediate code execution, extensive libraries supporting diverse functionalities, seamless integration with R and Python, virtualization capabilities, and comprehensive package management. Users appreciate its user-friendly interface, platform strategy with multiple visualization tools, and extensive community support. Anaconda simplifies environment setups via Conda, supports multiple programming languages, and allows for easy bug handling. The media distribution feature enables quick project initiation, making Anaconda indispensable for data science professionals.

"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."
"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."

Room for Improvement

Anaconda's performance needs enhancement on open source OS like Ubuntu and Mint. Virtual environment stability, interface improvement, and better support are necessary. Improved documentation and installation guides are required for on-premise users. Multi-language support, statistical modeling functionality, and additional libraries for computer vision and NLP could enhance usability. A graphical interface for data processing and streamlined deployment would be beneficial. Issues with crashing, handling heavy workloads, and memory consumption should be addressed for better performance.

"The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."
"Anaconda consumes a significant amount of processing memory when working on it."
"It also takes up a lot of space."

Pricing

Anaconda is primarily an open-source tool with no licensing costs, appealing to companies utilizing free features. While a paid version is available, most organizations report using the complimentary version. Hardware considerations, particularly for tasks needing powerful GPUs like CUDA, might increase costs but are not related to a subscription. Anaconda's compatibility spans various systems and tools, enhancing its attractiveness for enterprise use without incurring direct setup expenses.

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"The tool is open-source."
"My company uses the free version of the tool. There is also a paid version of the tool available."

Popular Use Cases

Anaconda is primarily used for developing machine learning models, deep learning, data science, and analytics. It supports applications for data analytics like Jupyter and predictive analytics such as R. Organizations use it for tasks including plotting data for optimal decision-making, building forecasting and predictive models, customizing solutions for customer requirements, taking data from databases for analysis, and integrating models for specific use cases. Users appreciate its open-source availability and diverse toolset including Python, RStudio, and Spyder.

Service and Support

Most users have not contacted Anaconda's technical support, relying instead on the extensive community, documentation, and personal resources. When used, Anaconda's support is described as good, with assistance provided quickly.

Deployment

The experience of Anaconda's initial setup varied. Many found it straightforward and quick, often taking a few hours with clear instructions. Some encountered complexity requiring adjustments, particularly with specific configurations and dependencies. The setup duration ranged from minutes to two weeks, often depending on involvement and team expertise. Several utilized community help, and those with technical backgrounds found it easier. Initial installations were sometimes hindered by large file sizes and environmental differences.

Scalability

Anaconda has been noted for its good scalability for medium-sized projects and varying numbers of users. While some find it sufficient for their needs without requiring further expansion, others express plans to increase usage. Users have not generally encountered scalability challenges and observe that it depends on the hardware. Many utilize Anaconda regularly, especially in data science, without significant difficulties. Scalability appears feasible as users have experienced without notable obstacles.

Stability

Users describe Anaconda as stable, often noting its reliability for production environments. It compares favorably to RStudio, providing efficient tools. Some face challenges with frequent updates and high memory use, but many report no issues with bugs or crashes. While it's generally stable for machine learning, some experienced deployment problems. Anaconda's stability aligns with other data science tools, though some find it imperfect due to memory and update concerns.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Anaconda Buyer's Guide for additional reliable information.

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Top industries

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Financial Services Firm

20%

Computer Software Company

Manufacturing Company

Government

Insurance Company

University

Educational Organization

Retailer

Energy/Utilities Company

Construction Company

Healthcare Company

Real Estate/Law Firm

Non Profit

Transportation Company

Comms Service Provider

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Hospitality Company

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Pharma/Biotech Company

Media Company

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Learn more about Anaconda

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data