Anaconda Core
Reviews
Star rating
Rank in Data Science and Machine Learning Platforms
Pros and cons
Pros
- Ease of Use
- Setup Ease
- Efficiency
- Intuitive
- Coding Ease
- User Interface
Cons
- Slow Performance
- Data Management Issues
- Lacking Features
- Limited Storage
- Limited Features
- Slow Loading
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 45.4% |
| Mid-Market | 23.7% |
| Enterprise | 30.9% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q1 | 4 | 4.3 |
| 2025 Q2 | 15 | 4.6 |
| 2025 Q3 | 10 | 5.0 |
| 2025 Q4 | 80 | 4.4 |
| 2026 Q1 | 4 | 4.8 |
| 2026 Q2 | 1 | 4.5 |
Satisfaction ratings
What reviewers say
All-in-One Toolkit for Data Science Workflows
“I am a data scientist and use Anaconda Platform for all my work on my local machine. It's a great all-in-one location where I can use Spyder, Jupyter notebooks, and more—all in the same place. I love that everything is downloaded together at once; I don't need to download and mai”
Great for Learning, Needs a Friendlier Interface
“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, int”
A Time-Saving Platform for Data Science and AI
“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, ”