Neptune.ai vs BigML
Compare data AI Tools
0% Similar based on 0 shared tags
N
Neptune.ai
Experiment tracking, model registry, and metadata store that helps ML teams log, compare, and ship models with searchable runs and rich visualizations.
Pricing Free / $29 per month
Category data
Difficulty Beginner
Type Web App
Status Active
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
Feature Tags Comparison
Only in Neptune.ai
mlopsexperiment-trackingmodel-registrymetadatavisualization
Shared
None
Only in BigML
machine-learningautomlapideploymentsgovernancecloud
Key Features
Neptune.ai
- • Flexible logging: Track metrics params artifacts and images from any framework using light SDKs and callbacks
- • Search and compare: Slice runs by tags configs and scores to pick winners with evidence not memory
- • Custom dashboards: Build live charts tables and tiles to monitor long trainings and share status
- • Model registry: Store versions stages and approvals so releases are auditable and reversible
- • Collaboration: Organize workspaces projects and roles so large teams stay coordinated
- • Artifacts: Keep predictions checkpoints and plots alongside metrics for reproducibility
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
Use Cases
Neptune.ai
- → Track baselines and ablations to defend decisions in reviews
- → Monitor long running experiments and intervene when metrics drift
- → Promote models through staged approvals with clear lineage
- → Share results with PMs and leads using links and dashboards
- → Attach artifacts so future teams can reproduce findings quickly
- → Automate comparisons in CI to block regressions before merge
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
Perfect For
Neptune.ai
ML engineers, researchers, data scientists, MLOps and platform teams who need reliable tracking and registries
BigML
Data scientists, analytics engineers, and ML platform teams who want a standardized GUI plus API approach to build govern and deploy models
Capabilities
Neptune.ai
SDKs and callbacks Intermediate
Runs at scale Intermediate
Versioned models Professional
Enterprise controls Professional
BigML
AutoML and Models Professional
Pipelines with WhizzML Professional
Cloud or Private Enterprise
Versioning and Roles Professional
Need more details? Visit the full tool pages: