Build custom business software powered by your data and loved by your team - without code.
Glide vs Jamf
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Glide (Build custom business software powered by your data and loved by your team - without code.) and Jamf both appear on the Smoower Developer Ecosystem Index.
Glide (rank #152) holds a modest lead over Jamf (rank #430) on the overall Smoower ecosystem score (52 vs 40). The gap of 12 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Glide is clearly ahead of Jamf. On education (docs, guides and learning material for developers), Jamf is slightly ahead of Glide. On community (issue response, PR reviews and discussion health), Glide is slightly ahead of Jamf. On reach (how visible the ecosystem is beyond its own repos), Jamf is slightly ahead of Glide. On momentum (release cadence and how fast the ecosystem moves), Jamf is clearly ahead of Glide.
Glide carries 21,382 GitHub stars across 67 public repos, with 11 repositories active in the last 90 days and 7 external contributors on record. Jamf shows 7,946 stars across 114 public repos, 20 active in the last 90 days and 5 external contributors.
Glide is the stronger read for anyone weighting code quality. Jamf 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 | Glide | Jamf |
|---|---|---|
| Ranking | ||
| Overall rank | #152 | #430 |
| Pillars | ||
| Overall | 52 | 40 |
| Code | 54 | 33 |
| Education | 66 | 68 |
| Community | 46 | 41 |
| Reach | 36 | 44 |
| Momentum | 21 | 61 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 21,382 | 7,946 |
| Forks | 1,789 | 1,547 |
| Public repos | 67 | 114 |
| Active repos (90d) | 11 | 20 |
| External contributors | 7 | 5 |
| Avg polish | 51 | 45 |
| Avg AI-readiness | 34 | 21 |