Logging · head to head
Airbrake vs Weights & Biases

Weights & Biases
Machine Learning
Developer tools for machine learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Airbrake data retention is 30 days on every plan, including the $799 a month Business tier; Weights & Biases pricing can be prohibitive for large teams without enterprise discounts
- They diverge on capability: Airbrake covers Error tracking, Weights & Biases covers Experiment tracking.
Where they differ
Only the attributes on which Airbrake and Weights & Biases actually diverge.
| Attribute | Airbrake | Weights & Biases |
|---|---|---|
| Pricing model | subscription | Unknown |
| Platforms | Web, Api | Web, Python SDK, REST API |
| Category | Logging | Machine Learning |
| Founded | 2008 | 2017 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Airbrake
- Error tracking
- Performance monitoring
- Deploy tracking
- Custom notifications
- API
- Webhooks
- REST
- Api support
Only in Weights & Biases
- Experiment tracking
- Dataset versioning
- Model registry
- Hyperparameter sweeps
- Collaborative dashboards
- PyTorch
- TensorFlow
- Keras
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Airbrake
- Error and exception monitoring for web applicationsnot Weights & Biases
- Performance monitoring alongside error trackingnot Weights & Biases
- Alerting a team when a deploy introduces a spike in errorsnot Weights & Biases
- Tracking errors across multiple projects in one accountnot Weights & Biases
Weights & Biases
- Machine learningnot Airbrake
- Data analysisnot Airbrake
- Model trainingnot Airbrake
- Predictive analyticsnot Airbrake
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Airbrake
- Data retention is 30 days on every plan, including the $799 a month Business tier
- The entry plan at $19 a month covers 25,000 errors and 7,500 events
- Errors beyond the plan quota are billed on demand
- Audit logs and spike forgiveness require the Pro tier
- The lowest tier is limited to 1 user and 1 team
Weights & Biases
- Pricing can be prohibitive for large teams without enterprise discounts
- Limited integrations compared to some competitors
- Dashboard customization options limited on lower plans
- Requires some setup and configuration knowledge
Pricing, plan by plan
Airbrake
Free- Tier 1 (Dev + errors)$19/month
- 25,000 errors per month
- 1 user
- 1 team
- Tier 2 (Basic + errors)$38/month
- 100,000 errors per month
- Unlimited users
- 3 teams
- Pro$76/month
- Unlimited users
- Unlimited teams
- Unlimited projects
- Tier 5 (Growth)$299/month
- 1 million errors per month
Weights & Biases
Free- FreeFree
- 5 model seats
- 5 GB storage
- 1 GB/month Weave ingestion
- Pro$60/month
- 10 seats
- 100 GB storage
- Private projects
- Teams$179/month
- Team collaboration
- Advanced analytics
- Dedicated support
Which should you pick?
Choose Airbrake if
- You need error tracking.
- You want to start without paying.
- You work on Web, Api.
- You also want performance monitoring.
Choose Weights & Biases if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Python SDK, REST API.
- You also want dataset versioning.
Questions people ask
- Is Airbrake or Weights & Biases better?
- Neither clearly leads. Airbrake starts at Free and Weights & Biases at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Airbrake or Weights & Biases?
- Airbrake starts at Free and Weights & Biases at Free.
- Does Airbrake or Weights & Biases run on more platforms?
- Airbrake runs on Web, Api. Weights & Biases runs on Web, Python SDK, REST API.
- Can I use Airbrake for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Airbrake best used for?
- Airbrake is most often used for error and exception monitoring for web applications, performance monitoring alongside error tracking, alerting a team when a deploy introduces a spike in errors, tracking errors across multiple projects in one account. Of those, error and exception monitoring for web applications and performance monitoring alongside error tracking are not what Weights & Biases is typically brought in for.
- What can Airbrake do that Weights & Biases cannot?
- Airbrake covers Error tracking, Performance monitoring, Deploy tracking, Custom notifications. Weights & Biases covers Experiment tracking, Dataset versioning, Model registry, Hyperparameter sweeps. Both handle Web support.
Answered from the vendors’ own pages
Airbrake: What is the lowest-cost Airbrake plan and what does it include?
Tier 1 costs $19 per month and includes 25,000 errors per month, 1 user seat, 1 team, and unlimited projects. This plan targets individual developers. A 10% discount applies when paying annually ($17.10 per month).
SourceWeights & Biases: Does Weights & Biases have a free plan?
Yes. The Free tier includes 5 model seats, 5 GB storage, and 1 GB/month Weave ingestion. Academic users get unlimited tracked hours, 200 GB storage, and 100 seats at no cost.
SourceAirbrake: Which Airbrake plan is marked as the best value?
The Pro plan at $76 per month is marked as Best Value. It includes unlimited users, unlimited teams, unlimited projects, audit logs, and spike forgiveness. Annual billing provides a 10% discount ($68 per month).
SourceWeights & Biases: What are the paid plans for Weights & Biases?
Pro starts at $60/month with 10 seats and 100 GB storage. Team plans start at $179/month. Enterprise pricing is custom.
SourceAirbrake: How many errors per month does each Airbrake tier allow?
Tier 1 allows 25,000 errors per month at $19/month. Tier 2 allows 100,000 errors at $38/month. Tier 4 allows 300,000 errors at $129/month. Tier 5 allows 1 million errors at $299/month. Tier 6 allows 5 million errors at $799/month.
SourceWeights & Biases: What machine learning features does W&B provide?
Weights & Biases captures hyperparameters, metrics, and model outputs automatically. Features include experiment tracking, interactive Reports for sharing findings, Artifacts for managing datasets and models, advanced hyperparameter sweeps, and model deployment tools.
SourceRelated pages
More on Weights & Biases
Other head to heads
- Airbrake vs Elastic Stack
- Airbrake vs New Relic
- Airbrake vs Datadog Logs
- Airbrake vs Coralogix
- Airbrake vs Grafana Loki
- Airbrake vs incident.io
- Airbrake vs Cronitor
- Airbrake vs FireHydrant
- Airbrake vs Healthchecks
- Airbrake vs Openstatus
- Airbrake vs Rootly
- Airbrake vs Checkly
- Airbrake vs CloudWatch
- Airbrake vs Dynatrace
- Airbrake vs InfluxDB
- Airbrake vs AppDynamics
- Airbrake vs Axiom
- Airbrake vs Azure Monitor
- Airbrake vs AWS SageMaker
- Airbrake vs Google Vertex AI
- Airbrake vs Azure Machine Learning
- Airbrake vs DataRobot
- Airbrake vs MLflow
- Airbrake vs Snowflake
- Airbrake vs TensorFlow
- Airbrake vs Comet ML
- Airbrake vs Jupyter
- Airbrake vs LangChain
- Airbrake vs Pinecone
- Airbrake vs Python
- Airbrake vs PyTorch
- Airbrake vs scikit-learn
- Airbrake vs Apache Spark MLlib
- Airbrake vs Weaviate
- Airbrake vs Alteryx
- Airbrake vs Anaconda
- Weights & Biases vs Elastic Stack
- Weights & Biases vs New Relic
- Weights & Biases vs Datadog Logs
- Weights & Biases vs Coralogix
- Weights & Biases vs Grafana Loki
- Weights & Biases vs incident.io
- Weights & Biases vs Cronitor
- Weights & Biases vs FireHydrant
- Weights & Biases vs Healthchecks
- Weights & Biases vs Openstatus
- Weights & Biases vs Rootly
- Weights & Biases vs Checkly
- Weights & Biases vs CloudWatch
- Weights & Biases vs Dynatrace
- Weights & Biases vs InfluxDB
- Weights & Biases vs AppDynamics
- Weights & Biases vs Axiom
- Weights & Biases vs Azure Monitor
- Weights & Biases vs AWS SageMaker
- Weights & Biases vs Google Vertex AI
- Weights & Biases vs Azure Machine Learning
- Weights & Biases vs DataRobot
- Weights & Biases vs MLflow
- Weights & Biases vs Snowflake
- Weights & Biases vs TensorFlow
- Weights & Biases vs Comet ML
- Weights & Biases vs Jupyter
- Weights & Biases vs LangChain
- Weights & Biases vs Pinecone
- Weights & Biases vs Python
- Weights & Biases vs PyTorch
- Weights & Biases vs scikit-learn
- Weights & Biases vs Apache Spark MLlib
- Weights & Biases vs Weaviate
- Weights & Biases vs Alteryx
- Weights & Biases vs Anaconda

