Highlight.io
Open-source full-stack monitoring with session replay error tracking and logging
- Category
- Monitoring
- Subcategory
- Observability
- Pricing
- Free (500 sessions/mo) / $150/mo
- Tier
- free
monitoringobservabilityfull-stackopen-source
Highlight.io vs LogRocket
Highlight.io and LogRocket are both monitoring tools. Highlight.io: Open-source full-stack monitoring with session replay error tracking and logging LogRocket: Frontend monitoring with session replay error tracking and AI-powered UX analysis
LogRocket
Frontend monitoring with session replay error tracking and AI-powered UX analysis
- Category
- Monitoring
- Subcategory
- Session Replay
- Pricing
- Free (1K sessions/mo) / $99/mo
- Tier
- free
monitoringsession replay
Key differences
| Dimension | Highlight.io | LogRocket |
|---|---|---|
| Pricing | Free (500 sessions/mo) / $150/mo | Free (1K sessions/mo) / $99/mo |
| Platform | Observability | Session Replay |
| Open Source | Yes | No |
| Capabilities | observability, full-stack, open-source | session replay |
Choose Highlight.io if...
- You need full control over the source code
Choose LogRocket if...
- LogRocket fits your specific workflow and team preferences
Community pros and cons
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Frequently asked questions
- Is Highlight.io or LogRocket better for beginners?
- Both tools are accessible. Highlight.io and LogRocket are similar in approachability — try both and see which workflow clicks.
- Which is cheaper, Highlight.io or LogRocket?
- Both have a free pricing model. Highlight.io: Free (500 sessions/mo) / $150/mo. LogRocket: Free (1K sessions/mo) / $99/mo. Compare their specific plans to find the best value.
- Can I use Highlight.io and LogRocket together?
- Highlight.io and LogRocket serve similar roles, so most teams pick one. However, some developers prototype in one and build production code in the other.
- Is Highlight.io open source?
- Yes, Highlight.io is open source. LogRocket is proprietary.
Verdict
Both Highlight.io and LogRocket are strong monitoring options. Your choice depends on pricing preferences, platform requirements, and workflow fit.
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