# InstantML vs MLflow

Decide between InstantML and MLflow by comparing where each tool is strongest for your team.

MLflow is a familiar open-source experiment tracking and model lifecycle tool. InstantML is a hosted-first training observability product focused on fast run comparison, dense dashboard workflows, predictable pricing, and import paths from existing trackers.

## Get the short answer

Choose InstantML when your daily pain is comparing many runs quickly, understanding training behavior, preserving artifact and checkpoint context, and giving a small ML team a hosted dashboard without operating the tracking stack.

Choose MLflow when your team wants an open-source tracking server and is comfortable operating, customizing, and integrating that stack directly.

## Compare at a glance

| Area | InstantML | MLflow |
| --- | --- | --- |
| Primary shape | Hosted training observability for ML teams. | Open-source ML lifecycle and experiment tracking stack. |
| Daily UI focus | Dense run comparison, metric charts, artifacts, checkpoints, and dashboard workflows. | General experiment tracking and model lifecycle workflows. |
| Setup | Hosted app plus Python SDK. | Self-managed or managed MLflow deployment. |
| Run comparison | Designed around fast run tables, selected-run charts, side-by-side evidence, and bounded metric reads. | Depends on the MLflow UI/deployment and any custom extensions. |
| Imports | W&B, Neptune, MLflow, and TensorBoard import paths. | Native MLflow history is already in MLflow; other imports depend on your migration work. |
| Pricing model | Free, Pro, and Premium hosted tiers with documented usage limits and no tracked-hour billing. | Open-source software; hosted/managed costs depend on your infrastructure or provider. |
| Portability | Documented APIs, export paths, and explicit schemas. | Open-source server and tracking data model. |

## Try InstantML first if

- Your team wants a hosted product instead of operating tracking infrastructure.
- Researchers spend real time sorting runs, comparing metrics, and opening charts.
- You already have W&B, Neptune, TensorBoard, or MLflow history that you want to import for evaluation.
- You care about predictable hosted pricing and documented usage limits.
- You want artifact and checkpoint workflows to be visible in the same comparison surface as metrics and configs.

## Stay with MLflow if

- Your organization already operates MLflow successfully.
- You want an open-source server as the primary product surface.
- Your platform team expects to customize the tracking and model lifecycle stack directly.
- Your needs are broader than training observability and align with your existing MLflow deployment.

## Migrate or coexist

InstantML can import transformed MLflow JSON through the import API and CLI flow. This lets teams evaluate InstantML from existing run history before changing current training scripts.

InstantML is not trying to replace the value of open-source MLflow for teams that want to own and operate their stack. It is built for teams that want a fast, hosted, training-focused experiment tracking workflow with clear migration paths and less dashboard friction.

## Next steps

- [Quickstart](/docs/quickstart.md): Install the SDK, log a first run, and open its charts in five minutes.
- [Imports](/docs/guides/imports.md): Bring MLflow, W&B, Neptune, or TensorBoard history into InstantML.
- [Pricing and limits](/docs/guides/pricing-limits-billing.md): Check plan allowances, usage limits, and overage rates before you scale.
- [Compare runs](/docs/dashboard/compare-runs.md): See the side-by-side comparison workflow the dashboard is built around.

## Agent navigation

- [Docs index](/llms.txt)
- [Full docs bundle](/llms-full.txt)

### Get Started

- [Overview](/docs/index.md)
- [Quickstart](/docs/quickstart.md)
- [Core Concepts](/docs/concepts/core-concepts.md)
- [Pricing](/docs/pricing.md)
- [Benchmarks](/docs/benchmarks.md)
- [Examples](/docs/guides/examples.md)
- [Troubleshooting](/docs/troubleshooting.md)

### SDK

- [Installation Auth](/docs/sdk/installation-auth.md)
- [Logging](/docs/sdk/logging.md)
- [Tracing](/docs/sdk/tracing.md)
- [Metrics Steps](/docs/sdk/metrics-steps.md)
- [Config Tags Notes](/docs/sdk/config-tags-notes.md)
- [Artifacts Checkpoints](/docs/sdk/artifacts-checkpoints.md)
- [Rich Objects](/docs/sdk/rich-objects.md)
- [Distributed Training](/docs/sdk/distributed-training.md)
- [Console System Integrations](/docs/sdk/console-system-integrations.md)
- [Reliability](/docs/sdk/reliability.md)
- [Cli Login](/docs/sdk/cli-login.md)
- [Querying Data](/docs/sdk/querying-data.md)
- [Agent Mcp](/docs/sdk/agent-mcp.md)
- [Examples Patterns](/docs/sdk/examples-patterns.md)

### Integrations

- [Overview](/docs/integrations/overview.md)
- [Pytorch Lightning](/docs/integrations/pytorch-lightning.md)
- [Huggingface Transformers](/docs/integrations/huggingface-transformers.md)
- [Keras](/docs/integrations/keras.md)
- [Wandb](/docs/integrations/wandb.md)

### Dashboard

- [Tour](/docs/dashboard/tour.md)
- [Organizations Workspaces](/docs/dashboard/organizations-workspaces.md)
- [Runs Workspace](/docs/dashboard/runs-workspace.md)
- [Metrics Charts](/docs/dashboard/metrics-charts.md)
- [Run Detail](/docs/dashboard/run-detail.md)
- [Traces](/docs/dashboard/traces.md)
- [Compare Runs](/docs/dashboard/compare-runs.md)
- [Research Dashboards](/docs/dashboard/research-dashboards.md)
- [Artifacts Files](/docs/dashboard/artifacts-files.md)
- [Run Health](/docs/dashboard/alerts.md)
- [Datasets](/docs/dashboard/datasets.md)
- [Checkpoints](/docs/dashboard/checkpoints.md)
- [Reports](/docs/dashboard/reports.md)
- [Settings Api Keys](/docs/dashboard/settings-api-keys.md)
- [Api Tab](/docs/dashboard/api-tab.md)
- [Onboarding Team Billing](/docs/dashboard/onboarding-team-billing.md)

### Data

- [Imports](/docs/guides/imports.md)
- [W&B alternative](/docs/guides/wandb-alternative.md)
- [InstantML vs MLflow](/docs/guides/instantml-vs-mlflow.md) (current page)
- [W&B import guide](/docs/guides/wandb-import-guide.md)
- [W&B and Neptune imports](/docs/guides/wandb-neptune-imports.md)
- [Export Usage Limits](/docs/guides/export-usage-limits.md)
- [Pricing Limits Billing](/docs/guides/pricing-limits-billing.md)
- [Auth Billing Storage](/docs/guides/auth-billing-storage.md)
- [Customer Owned Clickhouse](/docs/guides/customer-owned-clickhouse.md)
- [Observability](/docs/guides/observability.md)

### API

**Practical API guides**

- [Authentication](/docs/api/authentication.md)
- [Errors And Limits](/docs/api/errors-and-limits.md)
- [Health Observability](/docs/api/health-observability.md)
- [Projects Runs](/docs/api/projects-runs.md)
- [Metrics Series](/docs/api/metrics-series.md)
- [Attributes Objects](/docs/api/attributes-objects.md)
- [Artifacts](/docs/api/artifacts.md)
- [Reports](/docs/api/reports.md)
- [Iframe Embeds](/docs/api/iframe-embeds.md)
- [Import Export Usage](/docs/api/import-export-usage.md)
- [Dashboard Control State](/docs/api/dashboard-control-state.md)
**Architecture**

- [System Overview](/docs/architecture/system-overview.md)
- [Service Planes](/docs/architecture/service-planes.md)
- [Storage Model](/docs/architecture/storage-model.md)
- [Google Clickhouse](/docs/architecture/google-clickhouse.md)
- [Auth Tenancy](/docs/architecture/auth-tenancy.md)
- [Schema Reference](/docs/architecture/schema-reference.md)

### API Reference

- [API Reference](/docs/api-reference.md)