ORM Data v2.5.0 Updated 2026-01-27

SeaORM

Async dynamic ORM for Rust

7.5k 250k/week (crates) No known vulns N/A (compiled)
76 /100
Strong pick Good confidence (80%)

Quick Verdict

Best For

  • Async Rust applications
  • Loco framework projects
  • Teams preferring Active Record pattern
  • Dynamic query requirements

Consider Alternatives If

  • Maximum compile-time safety (use Diesel)
  • Sync codebases
  • Teams needing proven stability

Top Alternatives

Score Breakdown

6 dimensions evaluated with transparent methodology

Performance
90 −10

Built on SQLx with async support

  • Async-first design
  • Built on high-performance SQLx
  • Connection pooling
Why not 100%:
  • −5 ORM abstraction overhead
  • −5 Dynamic queries slightly slower than Diesel
Developer Experience
75 −25

Active Record pattern for Rust

  • Familiar Active Record pattern
  • Code generation from database
  • Async/await native
Why not 100%:
  • −8 Entity definitions can be verbose
  • −8 Less compile-time safety than Diesel
  • −8 Learning curve for SeaQuery DSL
Ecosystem
48 −52

Part of SeaQL ecosystem

  • SeaQuery for query building
  • SeaSchema for migrations
  • PostgreSQL, MySQL, SQLite support
Why not 100%:
  • −17 Younger than Diesel
  • −17 Smaller ecosystem
  • −17 Fewer third-party extensions
Maintainability
72 −28

Active development, async-first

  • SeaQL team maintenance
  • Regular releases
  • Good changelog
Why not 100%:
  • −9 Younger project
  • −9 API still evolving
  • −9 Breaking changes possible
Cost Efficiency
100

Open source, productive ORM

  • MIT/Apache licensed
  • Code generation speeds development
  • Efficient queries
Compliance
85 −15

Type-safe with parameterized queries

  • SQL injection prevention
  • Type-safe entities
  • Migration tracking
Why not 100%:
  • −7 Dynamic queries need care
  • −7 Fewer security audits

Compare Alternatives

How SeaORM stacks up against similar technologies

TechnologyOverallPerfDXEcosystem
Current SeaORM76907548
Diesel More compile-time safety80Compare →
SQLx Lower level, more control79Compare →

Sources & Methodology

How we calculate these scores: transparent and reproducible

Deterministic Scoring

Same inputs always produce the same outputs. We use versioned lookup tables, not LLM opinions. Every score is explainable and reproducible.

Learn how it works →
primary

GitHub

Repository activity, stars, contributors, issue resolution time

primary

Crates.io

Rust package downloads, dependencies, version history

contextual

Community Signals

Stack Overflow activity, Discord engagement, developer surveys

Data version: 2.5.0 Last updated: 2026-01-27 Confidence: 80%

Frequently Asked