LogoLogo
👨‍💻 API Reference📣 Release Notes📺 Request a Demo
  • Introduction to Fiddler
    • Monitor, Analyze, and Protect your ML Models and Gen AI Applications
  • Fiddler Doc Chatbot
  • First Steps
    • Getting Started With Fiddler Guardrails
    • Getting Started with LLM Monitoring
    • Getting Started with ML Model Observability
  • Tutorials & Quick Starts
    • LLM and GenAI
      • LLM Evaluation - Compare Outputs
      • LLM Monitoring - Simple
    • Fiddler Free Guardrails
      • Guardrails - Quick Start Guide
      • Guardrails - Faithfulness
      • Guardrails - Safety
      • Guardrails FAQ
    • ML Observability
      • ML Monitoring - Simple
      • ML Monitoring - NLP Inputs
      • ML Monitoring - Class Imbalance
      • ML Monitoring - Model Versions
      • ML Monitoring - Ranking
      • ML Monitoring - Regression
      • ML Monitoring - Feature Impact
      • ML Monitoring - CV Inputs
  • Glossary
    • Product Concepts
      • Baseline
      • Custom Metric
      • Data Drift
      • Embedding Visualization
      • Fiddler Guardrails
      • Fiddler Trust Service
      • LLM and GenAI Observability
      • Metric
      • Model Drift
      • Model Performance
      • ML Observability
      • Trust Score
  • Product Guide
    • LLM Application Monitoring & Protection
      • LLM-Based Metrics
      • Embedding Visualizations for LLM Monitoring and Analysis
      • Selecting Enrichments
      • Enrichments (Private Preview)
      • Guardrails for Proactive Application Protection
    • Optimize Your ML Models and LLMs with Fiddler's Comprehensive Monitoring
      • Alerts
      • Package-Based Alerts (Private Preview)
      • Class Imbalanced Data
      • Enhance ML and LLM Insights with Custom Metrics
      • Data Drift: Monitor Model Performance Changes with Fiddler's Insights
      • Ensuring Data Integrity in ML Models And LLMs
      • Embedding Visualization With UMAP
      • Fiddler Query Language
      • Model Versions
      • How to Effectively Use the Monitoring Chart UI
      • Performance Tracking
      • Model Segments: Analyze Cohorts for Performance Insights and Bias Detection
      • Statistics
      • Monitoring ML Model and LLM Traffic
      • Vector Monitoring
    • Enhance Model Insights with Fiddler's Slice and Explain
      • Events Table in RCA
      • Feature Analytics Creation
      • Metric Card Creation
      • Performance Charts Creation
      • Performance Charts Visualization
    • Master AI Monitoring: Create, Customize, and Compare Dashboards
      • Creating Dashboards
      • Dashboard Interactions
      • Dashboard Utilities
    • Adding and Editing Models in the UI
      • Model Editor UI
      • Model Schema Editing Guide
    • Fairness
    • Explainability
      • Model: Artifacts, Package, Surrogate
      • Global Explainability: Visualize Feature Impact and Importance in Fiddler
      • Point Explainability
      • Flexible Model Deployment
        • On Prem Manual Flexible Model Deployment XAI
  • Technical Reference
    • Python Client API Reference
    • Python Client Guides
      • Installation and Setup
      • Model Onboarding
        • Create a Project and Onboard a Model for Observation
        • Model Task Types
        • Customizing your Model Schema
        • Specifying Custom Missing Value Representations
      • Publishing Inference Data
        • Creating a Baseline Dataset
        • Publishing Batches Of Events
        • Publishing Ranking Events
        • Streaming Live Events
        • Updating Already Published Events
        • Deleting Events From Fiddler
      • Creating and Managing Alerts
      • Explainability Examples
        • Adding a Surrogate Model
        • Uploading Model Artifacts
        • Updating Model Artifacts
        • ML Framework Examples
          • Scikit Learn
          • Tensorflow HDF5
          • Tensorflow Savedmodel
          • Xgboost
        • Model Task Examples
          • Binary Classification
          • Multiclass Classification
          • Regression
          • Uploading A Ranking Model Artifact
    • Integrations
      • Data Pipeline Integrations
        • Airflow Integration
        • BigQuery Integration
        • Integration With S3
        • Kafka Integration
        • Sagemaker Integration
        • Snowflake Integration
      • ML Platform Integrations
        • Integrate Fiddler with Databricks for Model Monitoring and Explainability
        • Datadog Integration
        • ML Flow Integration
      • Alerting Integrations
        • PagerDuty Integration
    • Comprehensive REST API Reference
      • Projects REST API Guide
      • Model REST API Guide
      • File Upload REST API Guide
      • Custom Metrics REST API Guide
      • Segments REST API Guide
      • Baselines REST API Guide
      • Jobs REST API Guide
      • Alert Rules REST API Guide
      • Environments REST API Guide
      • Explainability REST API Guide
      • Server Info REST API Guide
      • Events REST API Guide
      • Fiddler Trust Service REST API Guide
    • Fiddler Free Guardrails Documentation
  • Configuration Guide
    • Authentication & Authorization
      • Adding Users
      • Overview of Role-Based Access Control
      • Email Authentication
      • Okta OIDC SSO Integration
      • Azure AD OIDC SSO Integration
      • Ping Identity SAML SSO Integration
      • Mapping LDAP Groups & Users to Fiddler Teams
    • Application Settings
    • Supported Browsers
  • History
    • Release Notes
    • Python Client History
    • Compatibility Matrix
    • Product Maturity Definitions
Powered by GitBook

© 2024 Fiddler Labs, Inc.

On this page
  • Overview
  • Key Features

Was this helpful?

  1. Product Guide

Master AI Monitoring: Create, Customize, and Compare Dashboards

PreviousPerformance Charts VisualizationNextCreating Dashboards

Last updated 2 months ago

Was this helpful?

Overview

With Fiddler, you can create comprehensive dashboards that bring together all of your monitoring data in one place. This includes monitoring charts for data drift, traffic, data integrity, and performance metrics. Adding monitoring charts to your dashboards lets you create a detailed view of your model's performance. These dashboards can inform your team, management, or stakeholders, and help make data-driven decisions that improve your AI performance. View a list of the .

Key Features

Dashboards offer a powerful way to analyze the overall health and performance of your models, as well as to compare multiple models.

Dashboard Filters

Chart Utilities

Automatic & Default Dashboards

  • Perform model-to-model comparison

  • Plot drift or data integrity for multiple columns in one view

  • Easily save and share your dashboard

including date range, time zone, and bin size to customize your view

to zoom into data and toggle between line and bar chart types

Fiddler automatically creates a for all your models that can be accessed as Insights throughout the product.

Checkout more on the .

Dashboard Basics
Dashboards Guide
Model monitoring dashboard including performance, drift, traffic, custom metrics, and segment analysis.
Leverage the chart toolbar
available metrics for monitoring charts here
Flexible filters
monitoring dashboard

Questions? to a product expert or a demo.

Need help? Contact us at .

❓
💡
Talk
request
help@fiddler.ai