Magical tools for data.
Mage vs Ultimate.
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Mage (Magical tools for data.) and Ultimate. both appear on the Smoower Developer Ecosystem Index.
Mage (rank #485) holds a modest lead over Ultimate. (rank #996) on the overall Smoower ecosystem score (38 vs 19). The gap of 19 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Ultimate. is slightly ahead of Mage. On education (docs, guides and learning material for developers), Mage is clearly ahead of Ultimate.. On community (issue response, PR reviews and discussion health), Mage is clearly ahead of Ultimate.. On reach (how visible the ecosystem is beyond its own repos), Mage is clearly ahead of Ultimate.. On momentum (release cadence and how fast the ecosystem moves), Mage is ahead of Ultimate..
Mage carries 9,079 GitHub stars across 44 public repos, with 8 repositories active in the last 90 days and 22 external contributors on record. Ultimate. shows 4 stars across 25 public repos, 0 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but Mage's footprint is roughly 2269.8x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Mage is the stronger read for anyone weighting community. Ultimate. looks better where code quality 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 | Mage | Ultimate. |
|---|---|---|
| Ranking | ||
| Overall rank | #485 | #996 |
| Pillars | ||
| Overall | 38 | 19 |
| Code | 34 | 37 |
| Education | 71 | 41 |
| Community | 38 | 6 |
| Reach | 40 | 15 |
| Momentum | 16 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 9,079 | 4 |
| Forks | 1,538 | 27 |
| Public repos | 44 | 25 |
| Active repos (90d) | 8 | 0 |
| External contributors | 22 | 0 |
| Avg polish | 42 | 38 |
| Avg AI-readiness | 15 | 26 |