Third Party Library imaNNeo (open source) Inbound
Sdk
Connection
Inbound
Data Flow
7
Components
2
Dependencies

Description

fl_chart is a Flutter data visualisation library providing bar charts, line charts, and pie/donut charts used throughout the statistics and analytics screens. Renders coordinator monthly activity bar charts, activity type breakdown donut charts, personal peer mentor stats visualisations, and the gamification Wrapped summary screens. Chosen for its strong Flutter-native implementation and accessibility semantics support.

Detailed Analysis

fl_chart is a zero-cost, MIT-licensed Flutter data visualisation library that directly enables the analytics and statistics features coordinators and peer mentors rely on to track programme effectiveness. By rendering bar charts for monthly activity trends, donut charts for activity type breakdowns, and personalised peer mentor stat visualisations entirely on-device, the organisation gains a compelling, data-driven user experience with no recurring vendor costs and no external data transmission. The gamification Wrapped summary screens — a key differentiator requested by NHF and HLF — are powered by this library, strengthening member engagement and programme retention. Because all rendering is local, there are no API dependencies that could create outages, and the open-source nature of the library eliminates vendor lock-in risk.

The sole cost consideration is development time for custom theming to align with organisational design tokens.

fl_chart is a well-maintained open-source package (>=0.66.0) requiring Dart SDK >=3.0.0, which aligns with the project's existing Flutter stack and introduces no new external service dependencies or procurement overhead. Integration complexity is low to medium: seven components depend on the library (444-fl-chart-adapter, 436-monthly-activity-bar-chart, 437-activity-type-donut-chart, 121-activity-chart-widget, 435-coordinator-stats-dashboard-screen, 439-personal-stats-view, 512-activity-type-breakdown-widget), meaning thorough coordination of the FlChartAdapter abstraction layer is essential to prevent regressions across screens. The main delivery risk is custom chart theming effort, which should be scoped into the design token implementation sprint. No external API keys, rate limits, or third-party onboarding are required, removing external blockers.

Testing should validate empty-state handling and frame-rate performance targets (< 100ms render for 12 months of data). No ongoing maintenance SLA is required beyond Flutter SDK compatibility updates.

fl_chart integrates as a Flutter SDK dependency (^0.66.0) and is abstracted behind the 444-fl-chart-adapter component, which normalises application data models into fl_chart's BarChartData, PieChartData, and LineChartData structures with safe defaults for null or empty datasets. All rendering is synchronous and device-local — no network calls, no authentication, no rate limits. Empty-state widgets are shown defensively when chart data is null. Performance target is < 100ms render time for up to 12 months of data; frame rate should be monitored via Flutter DevTools performance overlay during QA.

Configuration options include animation duration, touch interaction callbacks for drill-down interactions, and accessibility semantics labels (critical for the target user base). The statistics data table serves as the fallback when chart rendering fails. Dart SDK >=3.0.0 constraint must be enforced in pubspec.yaml. No environment variables required.

Dependencies (2)

fl_chart Flutter package >=0.66.0 External
Dart SDK >=3.0.0 External

Authentication

TypeNone

Configuration

Required Settings

Chart data models passed via fl_chart data structures Required

Optional Settings

Animation duration configuration Optional
Touch interaction callbacks Optional
Accessibility semantics labels Optional

Error Handling

Empty state widgets shown when chart data is null or empty
FlChartAdapter normalises data to fl_chart format with safe defaults

Monitoring

Metrics

Chart render performance (frame rate)

Performance

Latency< 100ms for chart render with up to 12 months of data
AvailabilityDevice-local rendering — no network dependency

Cost Implications

Pricing ModelFree open-source (MIT licence)

Cost Factors

Development time for custom chart theming to match design tokens

Security Considerations

No external data transmission — purely client-side rendering library

Fallback Mechanisms

Statistics data table fallback when chart rendering fails