ClearML vs Neptune.ai
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 2.6 for Neptune.ai, and ranks ahead in 67% of the answers that name both.
Choose ClearML if…
- You want the brand AI engines rank higher (20.6 vs 2.6)
- AI answers describe it more positively (43% vs 25% positive)
- open-source flexibility
- transparent, clear pricing with a free self-hosted tier
Choose Neptune.ai if…
- You prefer a larger, established vendor (51–200 employees)
- Collaboration-first dashboard for tracking experiments
- Lightweight metadata store built for experiment tracking
- Discounts on annual plans
AI visibility side by side
Latest weekly run · Nov 2
| Metric | ClearML | Neptune.ai |
|---|---|---|
| Visibility score | 20.6% | 2.6% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #8 | #24 |
| Share of voice | 4.5% | 0.6% |
| Mentions this run | 30 | 4 |
| Positive in AI answers | 43% | 25% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
ClearML 0pp · Neptune.ai 0pp over 0 weekly runs.
Engine by engine
ClearML leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | ClearML | Neptune.ai |
|---|---|---|---|
| Alternatives to the most popular MLOps platform | AI Mode | #3 | #4 |
| Where can I sign up for an MLOps platform? | AI Mode | #8 | #7 |
| Official website of the top MLOps platform vendors | ChatGPT | #10 | #16 |
Features, pricing & fit
| Dimension | ClearML | Neptune.ai |
|---|---|---|
| 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. | Hosted service by default, with a self-hosted option on-premises or on AWS, Google Cloud or Azure as a Kubernetes cluster, deployed as microservices via a Helm chart. |
| Integrations | — | 25+ |
| Support | Dedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (Enterprise) | — |
| Founded | 2016 | 2017 |
| Headquarters | Tel Aviv, Israel | Palo Alto, California, United States |
| Employees | 11–50 | 51–200 |
| Funding | Series B (reported for parent Allegro AI, unverified, led by New Enterprise Associates) · $16M raised | Series A · $18M raised |
| 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. | Teams training foundation models and other large-scale machine learning models that need to monitor GPT-scale training runs. |
Plans side by side
ClearML
Neptune.ai
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
Neptune.ai
- Collaboration-first dashboard for tracking experiments
- Lightweight metadata store built for experiment tracking
- Discounts on annual plans
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “ClearML vs Neptune.ai”, https://slateindex.ai/compare/clearml-vs-neptune-ai, data of Nov 2, 2026. Licence: CC BY 4.0.