Developer ecosystem comparison
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parcelLab vs Razorpay

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

parcelLab (Take full control of your post-checkout customer experience.) and Razorpay both appear on the Smoower Developer Ecosystem Index.

Razorpay (rank #31) holds a modest lead over parcelLab (rank #278) on the overall Smoower ecosystem score (63 vs 46). The gap of 17 points reflects composite signals across code, docs, community and reach.

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

parcelLab carries 20 GitHub stars across 20 public repos, with 10 repositories active in the last 90 days and 12 external contributors on record. Razorpay shows 3,812 stars across 177 public repos, 38 active in the last 90 days and 33 external contributors. The star gap on its own does not decide the comparison, but Razorpay's footprint is roughly 190.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

parcelLab is the stronger read for anyone weighting education. Razorpay 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

MetricparcelLabRazorpay
Ranking
Overall rank#278#31
Pillars
Overall4663
Code7168
Education7653
Community2844
Reach358
Momentum6471
Builder experience00
Signals
Stars203,812
Forks81,929
Public repos20177
Active repos (90d)1038
External contributors1233
Avg polish7569
Avg AI-readiness3849

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