ClearMLThe Infrastructure Platform For AI Builders
vs
JupyterFree software, open standards, and web services for interactive computing across all programming languages
Comparison · MLOps Platforms · weekly run Nov 2
ClearML vs Jupyter
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
ClearML is the stronger AI pick in MLOps Platforms: it has a visibility score of 20.6 versus 4.6 for Jupyter.
Choose ClearML if…
- You want the brand AI engines rank higher (20.6 vs 4.6)
- open-source flexibility
- transparent, clear pricing with a free self-hosted tier
- end-to-end MLOps coverage in one platform
Choose Jupyter if…
- Interactive notebook environments
- Support for data visualization and experiment tracking
- Included in common ML frameworks and environments
AI visibility side by side
Latest weekly run · Nov 2
| Metric | ClearML | Jupyter |
|---|---|---|
| Visibility score | 20.6% | 4.6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #8 | #20 |
| Share of voice | 4.5% | 0.7% |
| Mentions this run | 30 | 5 |
| Positive in AI answers | 43% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
ClearML 0pp · Jupyter 0pp over 0 weekly runs.
Engine by engine
ClearML leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
ClearMLJupyter
Head to head in AI answers
0 engine answers name both brands
0ClearML ranked higher
0Jupyter ranked higher
Features, pricing & fit
| Dimension | ClearML | Jupyter |
|---|---|---|
| Pricing model | Per seat | — |
| Entry price | Free; paid from $15 per seat / mo | — |
| Free plan | Yes | — |
| Deployment | Hosted servers, self-hosted, or a managed service in a VPC, on-premises (including air-gapped) or hybrid. | Self-hosted on centralized on-premises or off-site infrastructure, scalable with Docker and Kubernetes; the project does not provide Jupyter as a service. |
| Support | Dedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (Enterprise) | Community Discourse forum, Jupyter Security GitHub repository, Third-party Jupyter support companies |
| Founded | 2016 | 2014 |
| Headquarters | Tel Aviv, Israel | Berkeley, United States |
| Employees | 11–50 | 11–50 |
| Funding | Series B (reported for parent Allegro AI, unverified, led by New Enterprise Associates) · $16M raised | Foundation pledges (Sloan, Moore, Helmsley Charitable Trust) |
| Best for | Individuals, researchers and small teams on the free plan, growing AI teams on Pro, and enterprises running GPU clusters for multiple large projects. | Companies, classrooms and research labs that need interactive notebooks for data science, scientific computing and machine learning. |
Plans side by side
ClearML
Community$0month
Pro$15user/month + usage
ScaleCustomcustom quote
EnterpriseCustomcustom quote
Jupyter
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
ClearML
- open-source flexibility
- transparent, clear pricing with a free self-hosted tier
- end-to-end MLOps coverage in one platform
- GPU orchestration and pipeline automation
- affordable choice for cost-conscious teams
Jupyter
- Interactive notebook environments
- Support for data visualization and experiment tracking
- Included in common ML frameworks and environments
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “ClearML vs Jupyter”, https://slateindex.ai/compare/clearml-vs-jupyter, data of Nov 2, 2026. Licence: CC BY 4.0.