alibaba/MNN
What happens to a stranger's pull request here, in the Porchlamp snapshot of 17 October 2026.
Outside pull requests to alibaba/MNN got a first human reply in a median of 2.6 days (113 pull requests, 10 April to 7 October 2026); 27% got none within 14 days. It ranks 1,773 of 3,219 overall. For first-time contributors it ranks 1,303 of 1,525 (the bottom 15%).
| Rank | 1,773 of 3,219 |
|---|---|
| Score | 49.10 |
| Tier | C |
| Median first reply | 2.6 days (63.0 hours) |
| 14-day no-reply share | 27% |
| First-timer rank | 1,303 of 1,525 |
| Ecosystem | C and C++ |
| Window | 10 April to 7 October 2026 |
Composite
- Rank
- 1,773 of 3,219
- Score
- 49.10
- Tier
- C
- Coverage
- 93% · Ceiling A
- Quadrant
- Crucible
Coordinates: leverage 52.3 (coverage 100%), friction 52.3 (coverage 90%)
Five pillars
| Pillar | Score | Coverage |
|---|---|---|
| Responsiveness | 64.5 | 100% |
| Criticality | 54.0 | 100% |
| Governance | 38.3 | 100% |
| Rigor | 58.8 | 100% |
| Accessibility | 20.0 | 50% |
The measured parameters
Responsiveness
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Decision Rate (90d)Share of outside pull requests that were merged or closed within 90 days. | 89.6% | 100.0 | 67 | 10 April to 9 July 2026 | primaryraw/pr_window/alibaba__MNN.json |
| PR Ghost Rate (14d)Share of outside pull requests with no maintainer response, merge or close within 14 days. | 26.7% | 46.6 | 131 | 20 April to 17 October 2026 | primaryraw/pr_window/alibaba__MNN.json |
| First-timer Merge RateShare of first-time outside authors' decided pull requests that were merged. | 72.9% | 91.1 | 48 | — | primaryraw/author_history/alibaba__MNN.json |
| Time to First ResponseMedian hours from an outside pull request opening to its first substantive human reply. | 63.0 hours (2.6 days) | 40.2 | 113 | 10 April to 7 October 2026 | primaryraw/pr_window/alibaba__MNN.json |
| Time to Merge (p90)Hours within which 90% of merged outside pull requests were merged. | 840.0 hours (35 days) | 22.0 | 102 | 10 April to 7 October 2026 | primaryraw/pr_window/alibaba__MNN.json |
Criticality
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| DependentsPackages in the registry that depend on this project, counted once each. | Not shown: Not applicable | ||||
| Monthly DownloadsDownloads from the package registry in a month. | Not shown: Not applicable | ||||
| OpenSSF CriticalityOpenSSF criticality score from 0 to 1, computed from the project's public activity signals. | 0.5404 | 54.0 | — | — | proxy:no_dependents_signalraw/github_meta/alibaba__MNN.json |
Governance
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Elephant FactorThe fewest organisations that account for half of the last year's commits. | 2 | 50.0 | 794 | — | primaryraw/commits_365d/alibaba__MNN.json |
| Legal IP RegimeThe contributor licence regime: DCO, none, a foundation CLA or a corporate CLA. | Company CLA | 25.0 | — | — | primaryraw/governance/alibaba__MNN.json |
| Promotion LadderHow openly a contributor can become a maintainer, from closed to verified. | No written path to becoming a maintainer | 40.0 | — | — | primaryraw/governance/alibaba__MNN.json |
Rigor
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| AI Policy PostureWhether the project has a written policy on AI-assisted contributions. | Written AI policy | 95.0 | — | — | primaryraw/governance/alibaba__MNN.json |
| Pipeline DefensesHow well the project's build and review pipeline defends against bad changes, 0 to 100. | 60 | 60.0 | — | — | primaryraw/scorecard/alibaba__MNN.json |
| Substantive Review RateShare of decided pull requests that received a substantive review. | 16.7% | 20.8 | 126 | 10 April to 7 October 2026 | primaryraw/pr_window/alibaba__MNN.json |
Accessibility
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Developer ExperienceDeveloper experience, 0 to 100: half CI run time, half setup signals. | 66.8125 | 66.8 | 8 | — | primaryraw/actions_runs/alibaba__MNN.json |
| Newcomer ConversionShare of first-time authors whose first pull request merged within 180 days. | Not shown: Collector failure | ||||
| Newcomer Issue SupplyOpen, unassigned, up-to-date issues marked for newcomers. | 0 | 0.0 | — | — | primaryraw/gfi/alibaba__MNN.json |
| Newcomer Return RateShare of those merged first-time authors who sent a second pull request within 90 days. | Not shown: Collector failure | ||||
Persona view
| Persona | Rank | Score | Tier | Status |
|---|---|---|---|---|
| Balanced | 1,773 of 3,219 | 49.10 | C | Rated |
| First-timer | 1,303 of 1,525 | 45.59 | C | Rated |
| Career capital | This repository's production-criticality signal is not yet high enough for career-capital ranking. | |||
| Senior systems | Fewer than 3 organizations account for most commits (not multi-vendor). | |||
| AI-assisted | 1,591 of 3,696 | 52.01 | C | Rated |
Integrity
- Snapshot
- 2026-10-17
- Raw hash
- 4c998bfea8393346397e17517a03ac0f4eb299276013c0c6f6bec075c174da1c
No suspicion flags on this repository.
The full record is in data/2026-10-17/repos/ba.json, under the key alibaba/MNN.
How every number is measured: Porchlamp methodology.
Open an issue about this record and say what looks wrong.
Porchlamp (2026). alibaba/MNN. Snapshot 2026-10-17. https://porchlamp.org/projects/alibaba/mnn/. CC BY 4.0.
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