Evidence
Semantic Scholar
| Feature | Evidence | Semantic Scholar |
|---|---|---|
| Pricing | Free / from $49/mo | Free only |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.4 / 5 |
| Best For | data-analysts, data-engineers, startups, analytics-teams | researchers, phd-students, academics, literature-reviewers |
| Founded | 2021 | 2015 |
| Sql Reporting | ✓ | ✗ |
| Markdown Pages | ✓ | ✗ |
| Charts | ✓ | ✗ |
| Static Deployment | ✓ | ✗ |
| Git Integration | ✓ | ✗ |
| Data Sources | ✓ | ✗ |
| Semantic Search | ✗ | ✓ |
| Tldr Summaries | ✗ | ✓ |
| Citation Graphs | ✗ | ✓ |
| Research Feeds | ✗ | ✓ |
| Author Profiles | ✗ | ✓ |
| Open Api | ✗ | ✓ |
✓ Evidence Pros
- Code-based reports (version controlled)
- Beautiful output
- Fast static deployment
- SQL-first approach
✗ Evidence Cons
- Requires SQL knowledge
- Not for ad-hoc exploration
- Smaller community
✓ Semantic Scholar Pros
- Completely free to use
- AI-generated paper summaries (TLDR)
- Influence and citation metrics
- Research feeds and alerts
✗ Semantic Scholar Cons
- Coverage gaps in some disciplines
- No full-text access
- Interface less intuitive than Google Scholar
The Verdict
Evidence is built for data analysts and data engineers, with a focus on sql-reporting and markdown-pages. Semantic Scholar targets researchers and phd students and leads with semantic-search and tldr-summaries.
Semantic Scholar uses custom enterprise pricing, while Evidence starts at $49/mo — a tangible advantage for teams with a fixed budget.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.