Data and AI: Unlocking new science insights
AstraZeneca vs LM Studio
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
AstraZeneca (Data and AI: Unlocking new science insights) and LM Studio (Discover, download, and run local LLMs) both appear on the Smoower Developer Ecosystem Index.
LM Studio (rank #165) holds a modest lead over AstraZeneca (rank #510) on the overall Smoower ecosystem score (51 vs 37). The gap of 14 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), AstraZeneca is slightly ahead of LM Studio. On education (docs, guides and learning material for developers), LM Studio is ahead of AstraZeneca. On community (issue response, PR reviews and discussion health), LM Studio is ahead of AstraZeneca. On reach (how visible the ecosystem is beyond its own repos), LM Studio is clearly ahead of AstraZeneca. On momentum (release cadence and how fast the ecosystem moves), LM Studio is slightly ahead of AstraZeneca.
AstraZeneca carries 5,180 GitHub stars across 107 public repos, with 22 repositories active in the last 90 days and 2 external contributors on record. LM Studio shows 10,521 stars across 11 public repos, 5 active in the last 90 days and 42 external contributors.
AstraZeneca is the stronger read for anyone weighting code quality. LM Studio 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 | AstraZeneca | LM Studio |
|---|---|---|
| Ranking | ||
| Overall rank | #510 | #165 |
| Pillars | ||
| Overall | 37 | 51 |
| Code | 57 | 53 |
| Education | 75 | 85 |
| Community | 25 | 44 |
| Reach | 22 | 57 |
| Momentum | 34 | 38 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5,180 | 10,521 |
| Forks | 605 | 1,584 |
| Public repos | 107 | 11 |
| Active repos (90d) | 22 | 5 |
| External contributors | 2 | 42 |
| Avg polish | 65 | 56 |
| Avg AI-readiness | 34 | 30 |