Developer ecosystem comparison
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deepset vs PolyAI

Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.

deepset (Building enterprise search systems powered by latest NLP & open-source.) and PolyAI both appear on the Smoower Developer Ecosystem Index.

deepset (rank #122) holds a modest lead over PolyAI (rank #430) on the overall Smoower ecosystem score (54 vs 40). 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), deepset is ahead of PolyAI. On education (docs, guides and learning material for developers), deepset is slightly ahead of PolyAI. On community (issue response, PR reviews and discussion health), deepset is ahead of PolyAI. On reach (how visible the ecosystem is beyond its own repos), deepset is clearly ahead of PolyAI. On momentum (release cadence and how fast the ecosystem moves), PolyAI is clearly ahead of deepset.

deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 external contributors on record. PolyAI shows 86 stars across 6 public repos, 6 active in the last 90 days and 19 external contributors. The star gap on its own does not decide the comparison, but deepset's footprint is roughly 350.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

deepset is the stronger read for anyone weighting reach. PolyAI 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

MetricdeepsetPolyAI
Ranking
Overall rank#122#430
Pillars
Overall5440
Code5647
Education7471
Community5338
Reach4916
Momentum3160
Builder experience00
Signals
Stars30,14186
Forks4,30115
Public repos746
Active repos (90d)176
External contributors17119
Avg polish6346
Avg AI-readiness3953

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