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Sprout Social vs Teamtailor
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Sprout Social and Teamtailor (The all-in-one recruitment and marketing platform. Hiring doesn't get any easier than this. Trusted by over over 125,000 recruiters) both appear on the Smoower Developer Ecosystem Index.
Sprout Social (rank #401) holds a modest lead over Teamtailor (rank #728) on the overall Smoower ecosystem score (41 vs 30). The gap of 11 points reflects composite signals across code, docs, community and reach.
On community (issue response, PR reviews and discussion health), Sprout Social is slightly ahead of Teamtailor. On reach (how visible the ecosystem is beyond its own repos), Teamtailor is slightly ahead of Sprout Social. On momentum (release cadence and how fast the ecosystem moves), Sprout Social is clearly ahead of Teamtailor.
Sprout Social carries 313 GitHub stars across 68 public repos, with 4 repositories active in the last 90 days and 3 external contributors on record. Teamtailor shows 29 stars across 77 public repos, 10 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Sprout Social's footprint is roughly 10.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Sprout Social is the stronger read for anyone weighting momentum. Teamtailor 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 | Sprout Social | Teamtailor |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #728 |
| Pillars | ||
| Overall | 41 | 30 |
| Code | 48 | 48 |
| Education | 52 | 52 |
| Community | 17 | 11 |
| Reach | 41 | 49 |
| Momentum | 60 | 19 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 313 | 29 |
| Forks | 122 | 13 |
| Public repos | 68 | 77 |
| Active repos (90d) | 4 | 10 |
| External contributors | 3 | 1 |
| Avg polish | 47 | 40 |
| Avg AI-readiness | 30 | 32 |