Thomson Reuters vs Perk
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Thomson Reuters and Perk (We're fixing business travel.) both appear on the Smoower Developer Ecosystem Index.
Perk (rank #372) holds a modest lead over Thomson Reuters (rank #625) on the overall Smoower ecosystem score (42 vs 33). The gap of 9 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), Thomson Reuters is ahead of Perk. On community (issue response, PR reviews and discussion health), Perk is ahead of Thomson Reuters. On reach (how visible the ecosystem is beyond its own repos), Thomson Reuters is ahead of Perk. On momentum (release cadence and how fast the ecosystem moves), Perk is clearly ahead of Thomson Reuters.
Thomson Reuters carries 436 GitHub stars across 143 public repos, with 8 repositories active in the last 90 days and 0 external contributors on record. Perk shows 34 stars across 25 public repos, 5 active in the last 90 days and 6 external contributors. The star gap on its own does not decide the comparison, but Thomson Reuters's footprint is roughly 12.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Thomson Reuters is the stronger read for anyone weighting reach. Perk looks better where momentum is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.
Side-by-side metrics
| Metric | Thomson Reuters | Perk |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #372 |
| Pillars | ||
| Overall | 33 | 42 |
| Code | 44 | 44 |
| Education | 66 | 54 |
| Community | 21 | 38 |
| Reach | 45 | 30 |
| Momentum | 16 | 48 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 436 | 34 |
| Forks | 166 | 11 |
| Public repos | 143 | 25 |
| Active repos (90d) | 8 | 5 |
| External contributors | 0 | 6 |
| Avg polish | 46 | 33 |
| Avg AI-readiness | 30 | 38 |