Best OpenML Alternatives in 2026
The top OpenML alternatives are Weights & Biases, ClearML and Comet: 15 ML experiment tracking software our editors would look at instead of OpenML, in our ranking order.
OpenML: A free, open-source platform for reproducible benchmarking and shared experiment tracking. Where it falls short: focuses on benchmarking more than full model lifecycle management.
Switching from OpenML? For most ml experiment tracking software buyers the best OpenML alternative is Weights & Biases, built for organizations needing a mature full ML platform. On a budget, ClearML starts at $15/user/mo.
Why People Look for an OpenML Alternative
- Focuses on benchmarking more than full model lifecycle management
- May require self-hosting for teams wanting deployment control
- Its broad research scope may exceed simple experiment logging needs
Quick Picks by What You Need
- Best overallWeights & Biases8.9
Organizations needing a mature full ML platform
Visit Weights & Biases - Lowest priceClearML8.8
Paid plans from $15/user/mo
Visit ClearML - Best free optionWeights & Biases8.9
Has a free plan
Visit Weights & Biases
All 15 OpenML 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 forOrganizations needing a mature full ML platform
- Better than OpenML:
- Editor score 8.9 vs 7.5
A broad ML platform that extends experiment tracking into production workflows.
- Model registry
8.9/10★★★★☆Try Weights & Biases -
Best forTeams wanting broad, affordable experiment management
- Better than OpenML:
- Editor score 8.8 vs 7.5
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 OpenML:
- Editor score 8.7 vs 7.5
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
- Better than OpenML:
- Editor score 8.6 vs 7.5
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
- Better than OpenML:
- Editor score 8.5 vs 7.5
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
- Better than OpenML:
- Editor score 8.3 vs 7.5
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
- Better than OpenML:
- Editor score 8.2 vs 7.5
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
- Better than OpenML:
- Editor score 8.1 vs 7.5
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 OpenML:
- Editor score 8.0 vs 7.5
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
- Better than OpenML:
- Editor score 7.9 vs 7.5
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
- Better than OpenML:
- Editor score 7.8 vs 7.5
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
- Better than OpenML:
- Editor score 7.7 vs 7.5
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
- Better than OpenML:
- Editor score 7.6 vs 7.5
A detailed hosted tracker with strong imports, run analysis, artifacts, and lineage.
- Model registry
- Run comparison
- Artifact tracking
7.6/10★★★★☆Visit InstantML -
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
OpenML Alternatives: Common Questions
What is the best alternative to OpenML?
Weights & Biases: #1 in our ML Experiment Tracking Software ranking, with an editor score of 8.9 out of 10. A broad ML platform that extends experiment tracking into production workflows.
Is there a free alternative to OpenML?
Yes. Weights & Biases, ClearML, Comet, Hopsworks AI Lakehouse and DVCLive have a free plan or a free tier (12 of the 15 alternatives on this page).
What is the cheapest paid alternative to OpenML?
Of the alternatives here that publish a price, ClearML starts lowest, at $15/user/mo.
Why do people look for OpenML alternatives?
Focuses on benchmarking more than full model lifecycle management; May require self-hosting for teams wanting deployment control; Its broad research scope may exceed simple experiment logging needs.
How do I switch from OpenML?
Export your data from OpenML (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 OpenML.
How to Switch from OpenML
- Export your data from OpenML (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 OpenML.
OpenML vs Each Alternative
| # | Tool | Free plan | Paid from | Run comparison | Artifact tracking | Model registry | Score |
|---|---|---|---|---|---|---|---|
| 14 | OpenML | Yes | Free | Yes | Yes | 7.5 | |
| 1 | Weights & Biases | Yes | $60/mo | Yes | 8.9 | ||
| 2 | ClearML | Yes | $15/user/mo | Yes | 8.8 | ||
| 3 | Comet | Yes | $19/user/mo | Yes | Yes | Yes | 8.7 |
| 4 | Amazon SageMaker Experiments | No | Yes | Yes | Yes | 8.6 | |
| 5 | Databricks Mosaic AI | Yes | 8.5 | ||||
| 6 | Valohai | No | Yes | 8.3 | |||
| 7 | Hopsworks AI Lakehouse | Yes | Yes | Yes | Yes | 8.2 | |
| 8 | DVCLive | Yes | Free | Yes | Yes | 8.1 | |
| 9 | GitLab Model Experiments | Yes | $29/user/mo | Yes | Yes | Yes | 8.0 |
| 10 | ZenML | Yes | $999/mo | Yes | 7.9 | ||
| 11 | Rubicon-ML | Free | Yes | Yes | 7.8 | ||
| 12 | Trackio | Yes | Free | Yes | Yes | Yes | 7.7 |
| 13 | InstantML | Yes | $199/mo | Yes | Yes | Yes | 7.6 |
| 14 | Metaflow | Yes | Free | 7.4 | |||
| 15 | MLRun | Free | Yes | 7.3 |
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update