Head-to-head · ML Experiment Tracking Software
Trackio vs DagsHub
Trackio leads on 0 checks, DagsHub on 0, and 6 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreTrackio · 7.7/10
- Free planboth
- Free trialonly DagsHub
Trackio scores higher on our rubric for ml experiment tracking software: 7.7 against 5.9 out of 10; our editors rank them #12 and #30.
Trackio is the better fit for free teams using Hugging Face tooling. DagsHub is the better fit for teams combining tracking with data versioning.
- Trackio fits best
Free teams using Hugging Face tooling
- DagsHub fits best
Teams combining tracking with data versioning
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Side by side
| Feature | Trackio 7.7/10 Visit ↗ | DagsHub 5.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 7.7 | 5.9 |
| Ranking | #12 in ML Experiment Tracking Software | #30 in ML Experiment Tracking Software |
| Best for | Free teams using Hugging Face tooling | Teams combining tracking with data versioning |
| Pricing model | Free | Free plan + paid |
| Starting price | Free plan | $99/user/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | 14 days |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Docs | Email, Live chat, Community |
| Integrations | 5 integrations | 8 integrations |
| Built for | Solo, Small business, Mid-market | Solo, Small business, Mid-market, Enterprise |
| Features Trackio 5/5 · DagsHub 5/5 | ||
| Run comparison | ✓ | ✓ |
| Artifact tracking | ✓ | ✓ |
| Dataset versioning | ✓ | ✓ |
| Model registry | ✓ | ✓ |
| API and SDK access | ✓ | ✓ |
| Specs | ||
| Deployment options | Not checked yet | Hybrid |
| Our review | ||
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| Our verdict | Trackio is a free, open-source experiment tracking library for ML developers, researchers, and teams building Python-based training workflows. It records metrics, configurations, media, traces, and versioned artifacts, then presents… Read the review → |
DagsHub is a web and API platform for machine-learning and data-science teams that need more than experiment logs. It combines MLflow-compatible tracking for parameters, metrics, and runs with experiment comparison, artifact storage,… Read the review → |
Strengths and trade-offs
Trackio — where it wins
- Free tracking with run grouping and side-by-side comparisons
- Versioned artifacts with aliases, lineage, and registries
- Local, Hugging Face Spaces, or self-hosted deployment
Where it doesn't
- Integrations are centered on the Hugging Face ecosystem
- Registry capabilities are under active development
- Primarily designed for Python-based ML workflows
DagsHub — where it wins
- MLflow-compatible tracking covers parameters, metrics, runs, and comparisons
- DVC and DagsHub support dataset versioning, lineage, and artifact storage
- Hybrid deployment includes cloud, customer infrastructure, and enterprise environments
Where it doesn't
- Individual private repositories allow up to 100 tracked experiments
- Individual includes 20GB of DagsHub Storage
- Enterprise pricing is available through a custom quote
- Trackio7.7/10 · Free plan
A free tracker for Hugging Face-centered teams that need runs, artifacts, and registries.
Visit TrackioFull verdict → - DagsHub5.9/10 · Free plan · 14-day trial
A broad ML workspace that pairs MLflow tracking with data versioning and deployment.
Visit DagsHubFull verdict →
All ML experiment tracking software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update