Anaconda Core vs. Deepnote
A side-by-side comparison based on G2 review data.
| Metric | Anaconda Core | Deepnote |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 240 | 387 |
| Ease of use | 8.9 | 9.0 |
| Ease of setup | 8.7 | 9.1 |
| Quality of support | 8.6 | 8.9 |
| Meets requirements | 9.1 | 8.8 |
| NPS | 73.076923 | 70.75718 |
| Small Business | 45.4% | 67.7% |
| Mid-Market | 23.7% | 25.0% |
| Enterprise | 30.9% | 7.3% |
| Total page views | 1,234 | 631 |
| Total LLM citations | 870 | 5,340 |
Anaconda Core
Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI.
- Ease of Use
- Setup Ease
- Efficiency
- Intuitive
- Coding Ease
- User Interface
Deepnote
Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote gives anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications.
- Ease of Use
- Collaboration
- Team Collaboration
- Easy Integrations
- Data Management
- Integrations