sgl-project vs TopK
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
sgl-project and TopK (Pushing state of the art, one flamegraph at a time.) both appear on the Smoower Developer Ecosystem Index.
sgl-project (rank #278) holds a modest lead over TopK (rank #536) on the overall Smoower ecosystem score (46 vs 36). The gap of 10 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), sgl-project is ahead of TopK. On education (docs, guides and learning material for developers), sgl-project is ahead of TopK. On community (issue response, PR reviews and discussion health), sgl-project is clearly ahead of TopK. On reach (how visible the ecosystem is beyond its own repos), TopK is clearly ahead of sgl-project. On momentum (release cadence and how fast the ecosystem moves), sgl-project is ahead of TopK.
sgl-project carries 38,333 GitHub stars across 26 public repos, with 20 repositories active in the last 90 days and 349 external contributors on record. TopK shows 87 stars across 12 public repos, 8 active in the last 90 days and 6 external contributors. The star gap on its own does not decide the comparison, but sgl-project's footprint is roughly 440.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
sgl-project is the stronger read for anyone weighting community. TopK 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 | sgl-project | TopK |
|---|---|---|
| Ranking | ||
| Overall rank | #278 | #536 |
| Pillars | ||
| Overall | 46 | 36 |
| Code | 55 | 40 |
| Education | 74 | 59 |
| Community | 80 | 19 |
| Reach | 8 | 31 |
| Momentum | 40 | 31 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 38,333 | 87 |
| Forks | 8,904 | 3 |
| Public repos | 26 | 12 |
| Active repos (90d) | 20 | 8 |
| External contributors | 349 | 6 |
| Avg polish | 55 | 34 |
| Avg AI-readiness | 47 | 43 |