The easiest way to learn to code.
Codecademy vs Linear
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Codecademy (The easiest way to learn to code.) and Linear (A purpose-built tool for planning and building products) both appear on the Smoower Developer Ecosystem Index.
Linear (rank #103) holds a modest lead over Codecademy (rank #510) on the overall Smoower ecosystem score (55 vs 37). 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), Linear is slightly ahead of Codecademy. On education (docs, guides and learning material for developers), Linear is ahead of Codecademy. On community (issue response, PR reviews and discussion health), Linear is slightly ahead of Codecademy. On reach (how visible the ecosystem is beyond its own repos), Linear is clearly ahead of Codecademy. On momentum (release cadence and how fast the ecosystem moves), Linear is clearly ahead of Codecademy.
Codecademy carries 5,241 GitHub stars across 86 public repos, with 1 repositories active in the last 90 days and 5 external contributors on record. Linear shows 1,971 stars across 22 public repos, 5 active in the last 90 days and 21 external contributors.
Codecademy is worth a look for teams already invested in its stack. Linear 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 | Codecademy | Linear |
|---|---|---|
| Ranking | ||
| Overall rank | #510 | #103 |
| Pillars | ||
| Overall | 37 | 55 |
| Code | 41 | 45 |
| Education | 42 | 56 |
| Community | 35 | 36 |
| Reach | 43 | 76 |
| Momentum | 14 | 41 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5,241 | 1,971 |
| Forks | 23,171 | 436 |
| Public repos | 86 | 22 |
| Active repos (90d) | 1 | 5 |
| External contributors | 5 | 21 |
| Avg polish | 46 | 42 |
| Avg AI-readiness | 24 | 31 |