Web optimization, testing & UX solutions
Contentsquare vs The Washington Post
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Contentsquare (Web optimization, testing & UX solutions) and The Washington Post both appear on the Smoower Developer Ecosystem Index.
Contentsquare and The Washington Post sit at essentially the same overall ecosystem score (37), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), The Washington Post is slightly ahead of Contentsquare . On education (docs, guides and learning material for developers), Contentsquare is slightly ahead of The Washington Post. On community (issue response, PR reviews and discussion health), Contentsquare is ahead of The Washington Post. On reach (how visible the ecosystem is beyond its own repos), The Washington Post is clearly ahead of Contentsquare . On momentum (release cadence and how fast the ecosystem moves), Contentsquare is clearly ahead of The Washington Post.
Contentsquare carries 1,493 GitHub stars across 292 public repos, with 100 repositories active in the last 90 days and 15 external contributors on record. The Washington Post shows 2,751 stars across 91 public repos, 3 active in the last 90 days and 0 external contributors.
Contentsquare is the stronger read for anyone weighting momentum. The Washington Post 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 | Contentsquare | The Washington Post |
|---|---|---|
| Ranking | ||
| Overall rank | #510 | #510 |
| Pillars | ||
| Overall | 37 | 37 |
| Code | 42 | 50 |
| Education | 50 | 49 |
| Community | 32 | 18 |
| Reach | 9 | 50 |
| Momentum | 55 | 18 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,493 | 2,751 |
| Forks | 290 | 1,061 |
| Public repos | 292 | 91 |
| Active repos (90d) | 100 | 3 |
| External contributors | 15 | 0 |
| Avg polish | 43 | 55 |
| Avg AI-readiness | 30 | 30 |