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  • Forest Admin
  • Getting started
    • How it works
    • Quick start
      • Flask
      • Django
    • Create your agent
    • Troubleshooting
    • Migrating legacy agents
      • Pre-requisites
      • Recommendations
      • Migration steps
      • Code transformations
        • API Charts
        • Live Queries
        • Smart Charts
        • Route overrides
        • Smart Actions
        • Smart Fields
        • Smart Relationships
        • Smart Segments
  • Data Sources
    • Getting Started
      • Collection selection
      • Naming conflicts
      • Query interface and Native Queries
        • Fields and projections
        • Filters
        • Aggregations
    • Provided data sources
      • SQLAlchemy
      • Django
        • Polymorphic relationships
    • Write your own
      • Translation strategy
        • Structure declaration
        • Capabilities declaration
        • Read implementation
        • Write implementation
        • Intra-data source Relationships
      • Contribute
  • Agent customization
    • Getting Started
    • Actions
      • Scope and context
      • Result builder
      • Static Forms
      • Widgets in Forms
      • Dynamic Forms
      • Form layout customization
      • Related data invalidation
    • Charts
      • Value
      • Objective
      • Percentage
      • Distribution
      • Leaderboard
      • Time-based
    • Fields
      • Add fields
      • Move, rename and remove fields
      • Override binary field mode
      • Override writing behavior
      • Override filtering behavior
      • Override sorting behavior
      • Validation
    • Hooks
      • Collection hook
      • Collection override
    • Pagination
    • Plugins
      • Write your own
    • Relationships
      • To a single record
      • To multiple records
      • Computed foreign keys
      • Under the hood
    • Search
    • Segments
  • Frontend customization
    • Smart Charts
      • Create a table chart
      • Create a bar chart
      • Create a cohort chart
      • Create a density map
    • Smart Views
      • Create a Map view
      • Create a Calendar view
      • Create a Shipping view
      • Create a Gallery view
      • Create a custom tinder-like validation view
      • Create a custom moderation view
  • Deploying to production
    • Environments
      • Deploy on AWS
      • Deploy on Heroku
      • Deploy on GCP
      • Deploy on Ubuntu
    • Development workflow
    • Using branches
    • Deploying your changes
    • Forest Admin CLI commands
      • init
      • login
      • branch
      • switch
      • set-origin
      • push
      • environments:create
      • environments:reset
      • deploy
  • Under the hood
    • .forestadmin-schema.json
    • Data Model
      • Typing
      • Relationships
    • Security & Privacy
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On this page
  • From your admin panel
  • From your agent
  • Relation to Smart Charts

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  1. Agent customization

Charts

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Last updated 1 year ago

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This is the official documentation of the forestadmin-agent-django and forestadmin-agent-flask Python agents.

A well-known adage says, "a picture is worth a thousand words": charts help people better understand and remember information.

Forest Admin Dashboards and Analytics are meant to answer that need.

From your admin panel

Charts can be configured from the interface, without the need to write any code.

From your agent

Sometimes, chart data are closely tied to your business. Forest Admin allows you to code how the data fueling any given chart is computed.

This is done in 3 steps:

  • Implement the chart data retrieval using the Agent API,

  • Either:

    • create a new Chart on a Dashboard, and choose "API" as the data source,

    • or create a new Chart in the "Analytics" tab of a Collection,

  • Enter the URL of the Chart you just implemented (/forest/_charts/<chartName> or /forest/_charts/<collectionName>/<chartName>).

Note that, when defining a chart from your agent:

  • The type of chart defined in your agent must match your selection when adding it to a dashboard or record.

  • The name of the chart must be URL-safe.

Relation to Smart Charts

Coding a Chart handler from your agent, on the other hand, gives you the full freedom in how the data powering a native chart is computed.

This is documented in the

allow the implementation of any charts types that are not supported natively (density maps, cohorts, ...).

User Guide ↗
Smart Charts
Dashboard example