Riverpod

The next generation of Flutter state management and dependency injection. Riverpod is a complete rewrite of Provider, fixing its fundamental limitations — providers are global, compile-time safe, and testable without context. Riverpod 2.0 adds code generation (@riverpod annotation) and AsyncNotifier for async state. Handles loading/error/data states automatically with AsyncValue. Widely considered the best DI+state solution for Flutter.

Evaluated Mar 06, 2026 (0d ago) v2.x
Homepage ↗ Repo ↗ Developer Tools dart flutter state-management reactive di providers hooks async code-generation
⚙ Agent Friendliness
68
/ 100
Can an agent use this?
🔒 Security
90
/ 100
Is it safe for agents?
⚡ Reliability
85
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
88
Error Messages
85
Auth Simplicity
95
Rate Limits
95

🔒 Security

TLS Enforcement
100
Auth Strength
88
Scope Granularity
85
Dep. Hygiene
90
Secret Handling
88

Client-side library — no network exposure. State is in-memory only. ProviderScope isolation enables proper test/production separation. No serialization security concerns.

⚡ Reliability

Uptime/SLA
90
Version Stability
85
Breaking Changes
78
Error Recovery
88
AF Security Reliability

Best When

You're building non-trivial Flutter apps and want a clean, testable, compile-time-safe approach to state management and dependency injection without Provider's context limitations.

Avoid When

Your Flutter app is simple with minimal shared state — Riverpod's learning curve isn't worth it for small apps. Use setState or Provider for straightforward cases.

Use Cases

  • Manage async API state in Flutter agent apps using AsyncNotifierProvider — automatically handles loading, error, and data states with built-in refresh
  • Implement dependency injection in Flutter using Riverpod providers — override providers in tests to inject mocks without BuildContext injection
  • Cache and share API responses across widgets using Riverpod's provider caching — avoids redundant network requests when multiple widgets need the same data
  • Combine multiple providers using ref.watch to build derived state — agent dashboards that compose data from multiple async sources
  • Implement scope-aware state with ProviderScope to isolate state per feature or user session in multi-tenant Flutter apps

Not For

  • Server-side Dart — Riverpod is Flutter-focused; use standard DI patterns for server-side Dart
  • Simple apps with minimal state — if you have fewer than 5 state objects, built-in setState or InheritedWidget may be sufficient
  • Developers who want MobX-style observable objects — Riverpod uses functional/declarative style; use MobX for object-oriented reactive state

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: none
OAuth: No Scopes: No

Riverpod is a state management library — no auth. Authentication state is typically managed as a Riverpod provider (authStateProvider) that other providers can watch.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

Riverpod is MIT licensed and free. Maintained by Remi Rousselet (also the author of Provider and Freezed).

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Documented

Known Gotchas

  • ref.read vs ref.watch — ref.read inside build() misses updates; agents must use ref.watch for reactive state and ref.read only in callbacks/methods
  • Provider autodispose — @riverpod uses keepAlive: false by default; providers are destroyed when no longer listened; agents must use keepAlive: true for background state that outlives UI
  • Circular dependencies between providers cause runtime errors — design provider dependency graphs to be acyclic; circular deps are a design smell indicating state should be merged
  • Code generation with @riverpod requires running build_runner — forgetting to run 'dart run build_runner watch' after annotation changes causes stale generated code and confusing errors
  • Family providers create a new provider instance per argument — using mutable objects or large lists as family arguments creates memory leaks; use stable primitives (String, int) as family keys
  • Global provider container in tests requires ProviderContainer disposal — forgetting container.dispose() in tearDown leaks async operations between tests

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Riverpod.

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Scores are editorial opinions as of 2026-03-06.

5229
Packages Evaluated
26151
Need Evaluation
173
Need Re-evaluation
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