Making sales tax filing easier for more than 20,000 online sellers and merchants across the world.
Qonto vs TaxJar
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Qonto and TaxJar (Making sales tax filing easier for more than 20,000 online sellers and merchants across the world.) both appear on the Smoower Developer Ecosystem Index.
Qonto (rank #338) holds a modest lead over TaxJar (rank #693) on the overall Smoower ecosystem score (43 vs 31). The gap of 12 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), TaxJar is slightly ahead of Qonto. On education (docs, guides and learning material for developers), Qonto is slightly ahead of TaxJar. On community (issue response, PR reviews and discussion health), Qonto is slightly ahead of TaxJar. On reach (how visible the ecosystem is beyond its own repos), Qonto is clearly ahead of TaxJar. On momentum (release cadence and how fast the ecosystem moves), TaxJar is ahead of Qonto.
Qonto carries 501 GitHub stars across 75 public repos, with 11 repositories active in the last 90 days and 5 external contributors on record. TaxJar shows 490 stars across 39 public repos, 1 active in the last 90 days and 3 external contributors.
Qonto is the stronger read for anyone weighting reach. TaxJar 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
| Metric | Qonto | TaxJar |
|---|---|---|
| Ranking | ||
| Overall rank | #338 | #693 |
| Pillars | ||
| Overall | 43 | 31 |
| Code | 57 | 63 |
| Education | 75 | 71 |
| Community | 25 | 18 |
| Reach | 24 | 1 |
| Momentum | 21 | 30 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 501 | 490 |
| Forks | 158 | 279 |
| Public repos | 75 | 39 |
| Active repos (90d) | 11 | 1 |
| External contributors | 5 | 3 |
| Avg polish | 62 | 61 |
| Avg AI-readiness | 36 | 41 |