Developer ecosystem comparison
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Hashnode vs Metabase

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

Hashnode (Everything you need to start blogging as a developer!) and Metabase both appear on the Smoower Developer Ecosystem Index.

Metabase (rank #165) holds a modest lead over Hashnode (rank #625) on the overall Smoower ecosystem score (51 vs 33). The gap of 18 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Hashnode is slightly ahead of Metabase. On education (docs, guides and learning material for developers), Metabase is clearly ahead of Hashnode. On community (issue response, PR reviews and discussion health), Metabase is slightly ahead of Hashnode. On reach (how visible the ecosystem is beyond its own repos), Metabase is ahead of Hashnode. On momentum (release cadence and how fast the ecosystem moves), Metabase is clearly ahead of Hashnode.

Hashnode carries 6,853 GitHub stars across 26 public repos, with 3 repositories active in the last 90 days and 3 external contributors on record. Metabase shows 50,225 stars across 100 public repos, 21 active in the last 90 days and 49 external contributors. The star gap on its own does not decide the comparison, but Metabase's footprint is roughly 7.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Hashnode is the stronger read for anyone weighting code quality. Metabase 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

MetricHashnodeMetabase
Ranking
Overall rank#625#165
Pillars
Overall3351
Code5149
Education4980
Community3839
Reach3241
Momentum661
Builder experience00
Signals
Stars6,85350,225
Forks2,3897,167
Public repos26100
Active repos (90d)321
External contributors349
Avg polish5650
Avg AI-readiness2630

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