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Doctolib vs Thomson Reuters
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Doctolib (Our mission is to build together the healthcare we all dream of. Learn more about our engineering team on our career page.) and Thomson Reuters both appear on the Smoower Developer Ecosystem Index.
Doctolib and Thomson Reuters sit at essentially the same overall ecosystem score (33), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Doctolib is slightly ahead of Thomson Reuters. On education (docs, guides and learning material for developers), Doctolib is slightly ahead of Thomson Reuters. On community (issue response, PR reviews and discussion health), Doctolib is slightly ahead of Thomson Reuters. On reach (how visible the ecosystem is beyond its own repos), Thomson Reuters is clearly ahead of Doctolib. On momentum (release cadence and how fast the ecosystem moves), Doctolib is slightly ahead of Thomson Reuters.
Doctolib carries 776 GitHub stars across 57 public repos, with 9 repositories active in the last 90 days and 5 external contributors on record. Thomson Reuters shows 438 stars across 144 public repos, 8 active in the last 90 days and 0 external contributors.
Doctolib is the stronger read for anyone weighting code quality. Thomson Reuters looks better where reach 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 | Doctolib | Thomson Reuters |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #625 |
| Pillars | ||
| Overall | 33 | 33 |
| Code | 51 | 44 |
| Education | 72 | 66 |
| Community | 28 | 21 |
| Reach | 10 | 45 |
| Momentum | 18 | 16 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 776 | 438 |
| Forks | 81 | 165 |
| Public repos | 57 | 144 |
| Active repos (90d) | 9 | 8 |
| External contributors | 5 | 0 |
| Avg polish | 50 | 46 |
| Avg AI-readiness | 31 | 30 |