Anaconda Reviews, Ratings & Features 2026 | Gartner Peer Insights

Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering.

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Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)

Anaconda Core

Anaconda

Data Analyst

My overall experience with Anaconda has been good. It makes working with Python much easier by keeping projects organized and avoiding version conflicts. Built-in tools like Jupyter Notebook save time and get you started quickly without extra set up. It can feel heavy on resources and sometimes slower with very new packages, but overall, it's reliable, practical, and helps teams focus more on actual work instead of fixing technical issues.

<50M USD

50M - 250M USD

30B + USD

1B - 3B USD

500M - 1B USD

10B - 30B USD

Gov't/PS/ED <5,000 Employees

250M - 500M USD

3B - 10B USD

Gov't/PS/ED 5,000 - 50,000 Employees

Gov't/PS/ED 50,000 + Employees

Associate

Very hard to self-onboard for a naive user. I could not install and get started without input from several other team members.

Software Developer

I like the idea of getting a complete suite to code, learn and publish my code within the community. Certainly there are key strengths like easy setup and accessibility, powerful environment management, community and learning resources. Overall, it's a complete tool to start any project from scratch by focusing on the code.

Google

Amazon Web Services (AWS)

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Databricks

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Oracle

H2O.ai

Dataiku

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DataRobot

RapidMiner

KNIME

Domino Data Lab

BigML

Other...

Teradata

Accenture

JetBrains

Infosys

Posit

FICO

TIBCO

IBM (Red Hat)

1010data

Continuum Analytics

Anaconda is a widely-used platform specializing in the development and deployment of secure Python solutions. The company brought the use of Python to data science and supports the dynamic community built around it. Anaconda also manages several open-source projects that are at the forefront of next-generation artificial intelligence (AI) and machine learning (ML) innovations. The company's solutions contribute to enabling professionals and institutions globally to effectively use the power of open source for competitive advantage and innovative discoveries.

With nearly 35 million users, Anaconda is the world‚Äôs most popular platform to develop and deploy secure Python solutions, faster. We pioneered the use of Python for data science, champion its vibrant community, and steward the open-source projects behind tomorrow‚Äôs artificial intelligence (AI) and machine learning (ML) breakthroughs. Our solutions enable practitioners and institutions around the world to securely harness the power of open source for competitive advantage and groundbreaking discoveries.

Reviews

Ratings Overview

Overall experience with

Favorable Review

Comprehensive Coding Environment Offers Easy Setup and Integrated Project Management Tools

Critical Review

Steep learning curve overshadows powerful features for first-time users

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