Head-to-head · ML Experiment Tracking Software
InstantML vs LUML Flow
InstantML leads on 0 checks, LUML Flow 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 scoreInstantML · 7.6/10
- Free planboth
- Most featuresLUML Flow · 5 of 5
InstantML scores higher on our rubric for ml experiment tracking software: 7.6 against 7.0 out of 10; our editors rank them #13 and #19.
InstantML is the better fit for teams needing rich run analysis and imports. LUML Flow is the better fit for open-source teams tracking ML and LLM experiments.
- InstantML fits best
Teams needing rich run analysis and imports
- LUML Flow fits best
Open-source teams tracking ML and LLM experiments
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Side by side
| Feature | InstantML 7.6/10 Visit ↗ | LUML Flow 7.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 7.6 | 7.0 |
| Ranking | #13 in ML Experiment Tracking Software | #19 in ML Experiment Tracking Software |
| Best for | Teams needing rich run analysis and imports | Open-source teams tracking ML and LLM experiments |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $199/mo | — |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Support | Email, Docs | Email, Community, Docs |
| Integrations | 7 integrations | 12 integrations |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market |
| Features InstantML 4/5 · LUML Flow 5/5 | ||
| Run comparison | ✓ | ✓ |
| Artifact tracking | ✓ | ✓ |
| Dataset versioning | Not checked yet | ✓ (best) |
| Model registry | ✓ | ✓ |
| API and SDK access | ✓ | ✓ |
| Specs | ||
| Deployment options | Hybrid | Hybrid |
| Our review | ||
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| Our verdict | InstantML is a hosted machine-learning experiment tracking platform for small ML teams. Its Python SDK and API log training and evaluation runs with metrics, configurations, tags, notes, files, checkpoints, media, and external artifact… Read the review → |
LUML Flow is a local-first experiment tracker for predictive machine learning and generative AI workflows. It records parameters, metrics, model artifacts, traces, evaluation samples, scorers, human annotations, and file attachments while… Read the review → |
Strengths and trade-offs
InstantML — where it wins
- Detailed search, charts, comparisons, and metric summaries for runs
- Imports experiment history from W&B, Neptune, MLflow, and TensorBoard
- Versioned artifacts, aliases, lineage, exports, REST API, and Python SDK
Where it doesn't
- Free includes only 2 seats and 2 GiB of hosted storage
- Pro costs $199 per workspace per month
- Premium is required for the customer-owned storage option
LUML Flow — where it wins
- Tracks parameters, metrics, models, traces, evaluations, and attachments
- Supports comparison, SQLite storage, and a versioned model registry
- Integrates with PyTorch, LangChain, TensorFlow, and other ML tools
Where it doesn't
- Light is limited to 1 user, 1 orbit, 50 artifacts, and 1 satellite
- Pro supports up to 5 users and 1,000 artifacts
- Platform access is centered on API and self-hosted deployment
- InstantML7.6/10 · Free plan
A detailed hosted tracker with strong imports, run analysis, artifacts, and lineage.
Visit InstantMLFull verdict → - LUML Flow7.0/10 · Free plan
A local-first tracker with strong ML, LLM, evaluation, and registry coverage.
Visit LUML FlowFull 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