Linear vs Asana
Detailed comparison of capabilities, integrations, pricing, and governance
90/100
Linear
Linear — project management with Fast issue tracking with AI-assisted descriptions.
Quick Verdict
Linear excels at project management and growing teams with a score of 90/100.
87/100
Asana
Asana — project management with AI-generated project plans and status updates.
Quick Verdict
Asana excels at project management and large teams with a score of 87/100.
Capabilities & Controls
| Aspect | Linear | Asana |
|---|---|---|
| Planning Depth | Roadmaps/Timeline | Roadmaps/Timeline |
| AI Capabilities | General AI | General AI |
| Automation | Rules & workflows | Rules & workflows |
| Security | Standard | Standard |
Core Features Comparison
Linear Features
- Fast issue tracking with AI-assisted descriptions
- Automated project updates and summaries
- Workflows and roadmaps with programmable automations
- Keyboard-first UX for engineers
Asana Features
- AI-generated project plans and status updates
- Timeline/Gantt, workload, and reporting
- Goals, portfolios, and dependencies
- Natural-language automations and rules
Pricing & Value Analysis
| Aspect | Linear | Asana |
|---|---|---|
| Pricing URL | View Linear Pricing | View Asana Pricing |
| Overall Score | 90/100 | 87/100 |
| Best For | Project Management, Growing Teams, Strategic Planning | Project Management, Large Teams |
Best Use Cases
Linear Excels At
- Project planning and delivery
Asana Excels At
- Project planning and delivery
Integrations & Governance
| Category | Linear | Asana | Winner |
|---|---|---|---|
| Integrations | Robust | Robust | Tie |
| Governance | Standard | Standard | Tie |
| Overall Score | 90/100 | 87/100 | Linear |
The Bottom Line
Both Linear and Asana are capable AI PM tools. Linear scores higher and is stronger for project management and growing teams.
Choose Linear if: you prioritize project management and growing teams and want the higher-rated option (90/100).
Choose Asana if: you prioritize project management and large teams and prefer its feature mix despite a lower score.