GitLab Model Experiments
GitLab Model Experiments: A GitLab-native way to compare runs and connect experiments to delivery workflows. Ranked #9 of 38 in ML Experiment Tracking Software by our editors (8.0/10); pricing: Free plan; best for gitLab-centric ML development teams.
At a glance
- Editor score8.0 / 10
- PricingFree plan
- Best forGitLab-centric ML development teams
- Free planYes
- Paid from$29/user/mo
- Run comparisonYes
- Founded2011
- Facts checked21 Sep 2026
Where it wins
- Organizes comparable runs with parameters, metrics, metadata, and artifacts
- Connects experiments to GitLab CI/CD jobs and metric charts
- Works with MLflow and the GitLab Model Registry
Where it doesn't
- Free access is limited to 5 users per top-level group
- The workflow is closely tied to the broader GitLab platform
- Premium starts at $29 per user monthly with annual billing
Our verdict on GitLab Model Experiments
GitLab Model Experiments is an experiment-tracking capability within GitLab for machine learning teams managing model development alongside source control and delivery workflows. It organizes comparable model runs into experiments and records parameters, metrics, metadata, and artifacts through an MLflow-compatible backend. Teams can inspect runs in the GitLab interface, review metric charts in the Performance tab, and connect experiment activity with GitLab CI/CD jobs. It is available through GitLab.com, GitLab Self-Managed, and GitLab Dedicated, with web and API access alongside self-hosted deployment options.
Its strongest fit is the GitLab ecosystem. MLflow support provides experiment and run operations, while GitLab CI/CD association connects tracking with automated jobs. Run artifacts are stored in the package registry, and the GitLab Model Registry supports models and versions. This gives teams a connected path from tracked runs to registered models without separating experiment records from their existing GitLab projects. Teams already standardizing development, automation, and model management in GitLab should find this broader platform alignment more relevant than a standalone tracker.
Pricing follows GitLab’s plan structure rather than a separate experiment-tracking product. The Free plan costs $0 per user per month with monthly billing and includes Source Code Management & CI/CD, Static Application Security Testing, and 5 users per top-level group. Premium costs $29 per user per month with annual billing and adds Advanced CI/CD, Team Project Management, and Priority Support. Ultimate adds Application Security Testing, Vulnerability Management, and Compliance and Governance. Choose it when GitLab is central to the ML workflow; teams seeking an independent tracking system may prefer a more narrowly focused product.
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GitLab Model Experiments pricing
All 3 GitLab Model Experiments plans and prices →
GitLab Model Experiments fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $29/user/mo |
| Run comparison | Yes |
| Artifact tracking | Yes |
| Dataset versioning | Not verified |
| Model registry | Yes |
| Deployment options | Not verified |
| API and SDK access | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Support | Docs, Community |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 41+ integrations: MLflow, GitLab Model Registry, GitLab CI/CD See all → |
| Pricing | Free plan (source) |
| Website | docs.gitlab.com |
| Facts checked | 21 Sep 2026 |
GitLab Model Experiments integrations
GitLab Model Experiments lists 41+ integrations on its own site — the 3 named here are the ones its pages call out.
- MLflow
- GitLab Model Registry
- GitLab CI/CD
See all GitLab Model Experiments integrations →
Alternatives to GitLab Model Experiments
- Weights & BiasesA broad ML platform that extends experiment tracking into production workflows.8.9
- ClearMLA broad MLOps platform with experiment tracking, data versioning, orchestration, and serving.8.8
- CometA polished experiment tracking platform with strong comparison, lineage, and registry tools.8.7
See all GitLab Model Experiments alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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