Avalara vs Zulip
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Avalara and Zulip (Organized team chat) both appear on the Smoower Developer Ecosystem Index.
Zulip (rank #536) holds a narrow lead over Avalara (rank #693) on the overall Smoower ecosystem score (36 vs 31). The gap of 5 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Zulip is clearly ahead of Avalara. On education (docs, guides and learning material for developers), Avalara is slightly ahead of Zulip. On community (issue response, PR reviews and discussion health), Zulip is clearly ahead of Avalara. On reach (how visible the ecosystem is beyond its own repos), Zulip is slightly ahead of Avalara. On momentum (release cadence and how fast the ecosystem moves), Zulip is clearly ahead of Avalara.
Avalara carries 21 GitHub stars across 7 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Zulip shows 32,299 stars across 67 public repos, 9 active in the last 90 days and 76 external contributors. The star gap on its own does not decide the comparison, but Zulip's footprint is roughly 1538.0x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Avalara is the stronger read for anyone weighting education. Zulip 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 | Avalara | Zulip |
|---|---|---|
| Ranking | ||
| Overall rank | #693 | #536 |
| Pillars | ||
| Overall | 31 | 36 |
| Code | 38 | 64 |
| Education | 57 | 49 |
| Community | 18 | 47 |
| Reach | 24 | 25 |
| Momentum | 0 | 38 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 21 | 32,299 |
| Forks | 29 | 14,237 |
| Public repos | 7 | 67 |
| Active repos (90d) | 0 | 9 |
| External contributors | 0 | 76 |
| Avg polish | 44 | 67 |
| Avg AI-readiness | 19 | 38 |