Thomson Reuters vs Zscaler, Inc.
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Thomson Reuters and Zscaler, Inc. both appear on the Smoower Developer Ecosystem Index.
Zscaler, Inc. (rank #298) holds a modest lead over Thomson Reuters (rank #625) on the overall Smoower ecosystem score (45 vs 33). 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), Zscaler, Inc. is clearly ahead of Thomson Reuters. On education (docs, guides and learning material for developers), Thomson Reuters is slightly ahead of Zscaler, Inc.. On community (issue response, PR reviews and discussion health), Zscaler, Inc. is ahead of Thomson Reuters. On reach (how visible the ecosystem is beyond its own repos), Thomson Reuters is slightly ahead of Zscaler, Inc.. On momentum (release cadence and how fast the ecosystem moves), Zscaler, Inc. is clearly ahead of Thomson Reuters.
Thomson Reuters carries 436 GitHub stars across 143 public repos, with 8 repositories active in the last 90 days and 0 external contributors on record. Zscaler, Inc. shows 337 stars across 58 public repos, 33 active in the last 90 days and 11 external contributors.
Thomson Reuters is the stronger read for anyone weighting reach. Zscaler, Inc. 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 | Thomson Reuters | Zscaler, Inc. |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #298 |
| Pillars | ||
| Overall | 33 | 45 |
| Code | 44 | 76 |
| Education | 66 | 65 |
| Community | 21 | 39 |
| Reach | 45 | 37 |
| Momentum | 16 | 40 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 436 | 337 |
| Forks | 166 | 199 |
| Public repos | 143 | 58 |
| Active repos (90d) | 8 | 33 |
| External contributors | 0 | 11 |
| Avg polish | 46 | 86 |
| Avg AI-readiness | 30 | 61 |