SwanLab

Multi-View ​

Create multiple independent dashboards within a single project. Each view saves its own filters, grouping, and chart layouts — without affecting the others.

Multi-View is built on the new dashboard architecture. How to upgrade: open the project you want to upgrade and click "Upgrade to New Dashboard" in the top-right corner. New projects created via the web or the new SDK automatically use the Multi-View dashboard — no manual upgrade needed.

📊 Upgrading an Existing Project to the New Dashboard:

Before You Upgrade

  • ⚠️ Note:
    • The upgrade duration depends on the number of experiments and charts in the project — please be patient
    • Experiments in progress cannot be upgraded
    • The upgrade cannot be rolled back to the old dashboard — please confirm carefully before proceeding!

💥 Breaking Changes:

  • After upgrading to the new dashboard, you must upgrade the SDK to v0.9.0+ to create experiments, resume experiments, and log metrics
  • Projects not yet upgraded can still log metrics and create experiments with SDK versions earlier than v0.9.0; however, SDK v0.9.0+ cannot log metrics to or create experiments in projects on the old dashboard
  • The old dashboard will no longer be maintained after October 1, 2026 — we recommend upgrading as soon as possible

What is Multi-View? ​

When tuning models, you might want to watch every wiggle of the loss curve, compare final metrics across a dozen experiments, and curate a clean set of result charts for a report — all at the same time. Cramming every chart into a single dashboard gets messy fast.

Multi-View solves this: one project, multiple dashboards. Create views for different analysis scenarios — each view remembers its own chart configuration, so switching views means switching perspectives in one click.

What Multi-View helps you do:

  • Cover different analysis needs: create dedicated views such as "Experiment Monitoring", "Model Comparison", and "Result Reproduction"
  • Switch analysis scenarios instantly: no need to repeatedly adjust filters and layouts — just switch views
  • Avoid configuration conflicts: changes in the current view never disturb what you've already organized in other views
  • Improve team collaboration: fewer conflicts when multiple people adjust dashboards, keeping everyone's analysis environment stable

Default Views and Custom Views ​

When creating a view, choose between two types:

  • Default view: automatically renders charts for all logged metrics — ideal for quick validation and phases where you want a full picture of your data
  • Custom view: starts from a blank canvas where you hand-pick and configure the metric charts you care about — ideal when you have too many metrics, or need to focus on core comparisons during hyperparameter tuning

Note

A newly created custom view is a blank canvas — charts need to be added manually.

Personal Views and Public Views ​

Views support two visibility scopes — choose based on personal use or team collaboration:

  • Personal view: visible only to you — organize it freely to match your own workflow
  • Public view: visible to all project collaborators — ideal as a shared team dashboard

Managing Views ​

A project can have multiple views, with convenient management operations:

  • Reorder: drag to sort, keeping frequently used views within easy reach
  • Rename: rename anytime so each view's purpose is clear at a glance
  • Pin: pin your most important views to the front
  • Duplicate: quickly create a copy of an existing view and fine-tune from there

Chart Layout Sync ​

Within the same view, the layouts of multi-experiment comparison charts and single-experiment charts are bidirectionally synced — any adjustment to charts or groups is mirrored between the two. "Edit once, apply everywhere", keeping the experience consistent across every dimension.