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SPECIFICTION
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Comet vs Valohai

Comet

comet.com

Valohai

valohai.com

Side by side

FigureCometValohai
Price from$19/mo—
Free planYes—
Free trialYesYes
Open source——
WebYesYes
WindowsYes—
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published111
Spec score · ML Experiment Tracking Software9.4 (#1)7.4 (#21)
Spec score · Model registries9.5 (#1)7.6 (#19)
Spec score · Model Registry Software9.3 (#1)7.4 (#16)
Spec score · Experiment Tracking9.4 (#1)7.4 (#12)
Dataset managementComet versions datasets and links them to experiments for lineage and reproducibility.Valohai versions datasets and caches them across executions so reused files do not need to be downloaded again.
Experiment trackingThe platform records and compares machine-learning training runs, metrics, parameters, code, and outputs.The platform tracks and versions ML experiments to support reproducibility.
Founded20172016
HeadquartersNew York City, United StatesTurku, Finland
IntegrationsComet advertises integrations with more than 40 AI frameworks, model providers, and gateways, including PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, Hugging Face, LangChain, and OpenAI.Its ecosystem lists a Hugging Face template and connectors for Snowflake, BigQuery, and Redshift, plus Slurm cluster management integration.
SupportThe pricing page lists community support for all plans, email support for paid cloud Pro and Enterprise, and dedicated support and SLAs for Enterprise.Subscriptions include technical support from the Customer Engineering team, along with training and onboarding resources.

Plans

Comet

  • Free CloudFree
  • MLOps FreeFree
  • Open SourceFree
  • Opik Free CloudFree
  • Opik Open SourceFree
  • MLOps Pro$19 a month
  • Opik Pro Cloud$19 a month
  • Pro Cloud$19 a month
  • EnterprisePriced on request
  • MLOps EnterprisePriced on request

Comet pricing →

Valohai

  • Valohai subscriptionPriced on request

Valohai pricing →

In their own words

Comet

Comet offers two product families on one platform: Opik for observing and evaluating LLM applications and agents, and MLOps for machine-learning workflows. Opik traces execution paths such as context retrieval, model responses and tool calls. Its evaluation tools include test suites, datasets, experiments, LLM-as-a-judge and heuristic metrics. The product lists integrations with more than 40 AI frameworks, model providers and gateways, including LangChain, OpenAI, Google ADK, LangGraph and CrewAI; OpenTelemetry support covers tracking applications in Ruby, Java and other languages. MLOps provides experiment tracking, dataset management, a model registry and production monitoring. Opik's open-source version can be self-hosted, and Enterprise offers flexible deployment options. Free Cloud allows up to 10 team members, 25k spans per month and 60-day data retention. Pro Cloud costs $19 a month and allows up to 50 team members and 100k spans monthly, with the same retention period. MLOps Free is also listed, while MLOps Pro costs $19 per user/month. Enterprise pricing is custom. Comet lists community support for all plans, email support for paid cloud Pro and Enterprise, and dedicated support and SLAs for Enterprise.

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Valohai

Valohai has no write-up on Specifiction yet; its figures are above.

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