Best Weights & Biases Alternatives in 2026
The top Weights & Biases alternatives are ClearML, Comet and Amazon SageMaker Experiments: 15 ML experiment tracking software our editors would look at instead of Weights & Biases, in our ranking order.
Weights & Biases: A broad ML platform that extends experiment tracking into production workflows. Where it falls short: pro starts at $60 per month when billed monthly.
Switching from Weights & Biases? For most ml experiment tracking software buyers the best Weights & Biases alternative is ClearML, built for teams wanting broad, affordable experiment management.
Why People Look for a Weights & Biases Alternative
- Pro starts at $60 per month when billed monthly
- The Free plan includes community support rather than priority support
- Its broad scope may exceed the needs of teams seeking tracking alone
- Paid from $60/user/mo — ClearML is $15/user/mo
Quick Picks by What You Need
- Best overallClearML8.8
Teams wanting broad, affordable experiment management
Visit ClearML - Lowest priceClearML8.8
Paid plans from $15/user/mo
Visit ClearML - Best free optionClearML8.8
Has a free plan
Visit ClearML
All 15 Weights & Biases Alternatives, Ranked
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
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Best forTeams wanting broad, affordable experiment management
- Better than Weights & Biases:
- Paid from: $15/user/mo vs $60/user/mo
A broad MLOps platform with experiment tracking, data versioning, orchestration, and serving.
- Model registry
8.8/10★★★★☆Visit ClearML -
Best forTeams prioritizing polished tracking and comparisons
- Better than Weights & Biases:
- Paid from: $19/user/mo vs $60/user/mo
A polished experiment tracking platform with strong comparison, lineage, and registry tools.
- Dataset versioning
- Model registry
- Run comparison
8.7/10★★★★☆Visit Comet -
Best forAWS-native ML teams
A strong fit for AWS-native teams that need tracking, comparison, artifacts, and MLflow.
- Model registry
- Run comparison
- Artifact tracking
8.6/10★★★★☆Visit AWS -
Best forDatabricks lakehouse teams
A broad ML platform for Databricks teams that need tracking through production operations.
- Model registry
8.5/10★★★★☆Visit Databricks -
Best forGoverned multi-cloud enterprise ML teams
A broad MLOps platform for teams that need tracking plus production governance.
- Model registry
8.3/10★★★★☆Visit Valohai -
Best forTeams needing tracking plus feature governance
A broad AI lakehouse for teams that need tracking alongside feature and model governance.
- Dataset versioning
- Model registry
- Run comparison
8.2/10★★★★☆Visit Hopsworks -
Best forOpen-source teams needing lightweight tracking
A lightweight, free tracker for teams that prefer local files and open tooling.
- Run comparison
- Artifact tracking
- API and SDK access
8.1/10★★★★☆Visit DVCLive -
Best forGitLab-centric ML development teams
- Better than Weights & Biases:
- Paid from: $29/user/mo vs $60/user/mo
A GitLab-native way to compare runs and connect experiments to delivery workflows.
- Model registry
- Run comparison
- Artifact tracking
8.0/10★★★★☆Visit GitLab -
Best forTeams standardizing MLOps across orchestrators
A broad MLOps framework for teams standardizing runs, lineage, and deployment.
- Model registry
7.9/10★★★★☆Visit ZenML -
Best forOpen-source teams needing flexible experiment storage
A flexible open-source tracker for teams that want control over experiment storage.
- Run comparison
- Artifact tracking
- API and SDK access
7.8/10★★★★☆Visit Rubicon-ML -
Best forFree teams using Hugging Face tooling
A free tracker for Hugging Face-centered teams that need runs, artifacts, and registries.
- Dataset versioning
- Model registry
- Run comparison
7.7/10★★★★☆Visit Trackio -
Best forTeams needing rich run analysis and imports
A detailed hosted tracker with strong imports, run analysis, artifacts, and lineage.
- Model registry
- Run comparison
- Artifact tracking
7.6/10★★★★☆Visit InstantML -
Best forResearchers benchmarking reproducible experiments
A free, open-source platform for reproducible benchmarking and shared experiment tracking.
- Dataset versioning
- Run comparison
- Artifact tracking
7.5/10★★★★☆Visit OpenML -
Best forPython teams combining workflows and tracking
A Python-first workflow platform that includes experiment tracking without narrowing its focus to it.
7.4/10★★★★☆Visit Metaflow -
Best forOpen-source teams needing full MLOps breadth
A broad open-source MLOps platform for teams that need more than experiment tracking.
- Model registry
7.3/10★★★★☆Visit MLRun
Weights & Biases Alternatives: Common Questions
What is the best alternative to Weights & Biases?
ClearML: #2 in our ML Experiment Tracking Software ranking, with an editor score of 8.8 out of 10. A broad MLOps platform with experiment tracking, data versioning, orchestration, and serving.
Is there a free alternative to Weights & Biases?
Yes. ClearML, Comet, Hopsworks AI Lakehouse, DVCLive and GitLab Model Experiments have a free plan or a free tier (12 of the 15 alternatives on this page).
What is the cheapest paid alternative to Weights & Biases?
Of the alternatives here that publish a price, ClearML starts lowest, at $15/user/mo.
Why do people look for Weights & Biases alternatives?
Pro starts at $60 per month when billed monthly; The Free plan includes community support rather than priority support; Its broad scope may exceed the needs of teams seeking tracking alone.
How do I switch from Weights & Biases?
Export your data from Weights & Biases (most tools have an export in their settings). Sign up for the alternative; start on its free plan or trial if it has one. Import your export and set up the integrations your team relies on. Run both side by side for a short while, then cancel Weights & Biases.
How to Switch from Weights & Biases
- Export your data from Weights & Biases (most tools have an export in their settings).
- Sign up for the alternative; start on its free plan or trial if it has one.
- Import your export and set up the integrations your team relies on.
- Run both side by side for a short while, then cancel Weights & Biases.
Weights & Biases vs Each Alternative
| # | Tool | Free plan | Paid from | Run comparison | Artifact tracking | Model registry | Score |
|---|---|---|---|---|---|---|---|
| 1 | Weights & Biases | Yes | $60/mo | Yes | 8.9 | ||
| 1 | ClearML | Yes | $15/user/mo | Yes | 8.8 | ||
| 2 | Comet | Yes | $19/user/mo | Yes | Yes | Yes | 8.7 |
| 3 | Amazon SageMaker Experiments | No | Yes | Yes | Yes | 8.6 | |
| 4 | Databricks Mosaic AI | Yes | 8.5 | ||||
| 5 | Valohai | No | Yes | 8.3 | |||
| 6 | Hopsworks AI Lakehouse | Yes | Yes | Yes | Yes | 8.2 | |
| 7 | DVCLive | Yes | Free | Yes | Yes | 8.1 | |
| 8 | GitLab Model Experiments | Yes | $29/user/mo | Yes | Yes | Yes | 8.0 |
| 9 | ZenML | Yes | $999/mo | Yes | 7.9 | ||
| 10 | Rubicon-ML | Free | Yes | Yes | 7.8 | ||
| 11 | Trackio | Yes | Free | Yes | Yes | Yes | 7.7 |
| 12 | InstantML | Yes | $199/mo | Yes | Yes | Yes | 7.6 |
| 13 | OpenML | Yes | Free | Yes | Yes | 7.5 | |
| 14 | Metaflow | Yes | Free | 7.4 | |||
| 15 | MLRun | Free | Yes | 7.3 |
Head-to-Head
- Weights & Biases vs ClearML
- Weights & Biases vs Comet
- Weights & Biases vs Amazon SageMaker Experiments
- Weights & Biases vs Databricks Mosaic AI
- Weights & Biases vs Valohai
- Weights & Biases vs Hopsworks AI Lakehouse
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update