BigML
End to end machine learning platform with GUI and REST API that covers data prep modeling evaluation deployment and governance for cloud or on premises use.
Pricing Free trial, contact sales
Category data
Difficulty Beginner
Type Web App
Status Active
Comet
Experiment tracking evaluation and AI observability for ML teams, available as free cloud or self hosted OSS with enterprise options for secure collaboration.
Pricing Free / Contact sales
Category data
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in BigML
machine-learningautomlapideploymentscloud
Shared
governance
Only in Comet
mlopsexperiment-trackingevaluationobservability
Key Features
BigML
- • GUI and REST API for the full ML lifecycle with reproducible resources
- • AutoML and ensembles
- • Time series anomaly detection clustering and topic modeling
- • WhizzML to script and share pipelines
- • Versioned immutable resources
- • Organizations with roles projects and dashboards
Comet
- • One line logging: Add a few lines to notebooks or jobs to record metrics params and artifacts for side by side comparisons and reproducibility
- • Evals for LLM apps: Define datasets prompts and rubrics to score quality with human in the loop review and golden sets for regression checks
- • Observability after deploy: Track live metrics drift and failures then alert owners and roll back or retrain with evidence captured for audits
- • Governance and privacy: Use roles projects and private networking to meet policy while enabling collaboration across research and product
- • Open and flexible: Choose free cloud or self hosted OSS with APIs and SDKs that plug into common stacks without heavy migration
- • Dashboards for stakeholders: Build views that explain model choices risks and tradeoffs so leadership can approve promotions confidently
Use Cases
BigML
- → Stand up a governed ML workflow
- → Automate repeatable training and evaluation with WhizzML
- → Detect anomalies for risk monitoring
- → Forecast demand with time series
- → Cluster customers and products
- → Embed predictions through the REST API
Comet
- → Hyperparameter sweeps: Compare runs and pick winners with clear charts and artifact diffs for reproducible results
- → Prompt and RAG evaluation: Score generations against references and human rubrics to improve assistant quality across releases
- → Model registry workflows: Track versions lineage and approvals so shipping teams know what passed checks and why
- → Drift detection: Monitor production data and performance so owners catch shifts and trigger retraining before user impact
- → Collaborative research: Share projects and notes so scientists and engineers align on goals and evidence during sprints
- → Compliance support: Maintain histories and approvals to satisfy audits and customer reviews with minimal manual work
Perfect For
BigML
Data scientists, analytics engineers, and ML platform teams who want a standardized GUI plus API approach to build govern and deploy models
Comet
ml engineers data scientists platform and research teams who want reproducible tracking evals and monitoring with free options and enterprise governance when needed
Capabilities
BigML
AutoML and Models Professional
Pipelines with WhizzML Professional
Cloud or Private Enterprise
Versioning and Roles Professional
Comet
Experiments and Artifacts Professional
Prompts and Rubrics Professional
Production Drift Professional
Roles and Private Networking Enterprise
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