mlua-rs/mlua
What happens to a stranger's pull request here, in the Porchlamp snapshot of 17 October 2026.
For mlua-rs/mlua, the reply time has too small a sample to measure (0 pull requests counted; 10 needed). 55% of 11 outside pull requests got no reply within 14 days (20 April to 17 October 2026). It ranks 2,178 of 3,219 overall. For first-time contributors it ranks 1,433 of 1,525 (the bottom 7%).
| Rank | 2,178 of 3,219 |
|---|---|
| Score | 45.47 |
| Tier | C |
| Median first reply | — |
| 14-day no-reply share | 55% |
| First-timer rank | 1,433 of 1,525 |
| Ecosystem | Rust |
| Window | 20 April to 17 October 2026 |
Composite
- Rank
- 2,178 of 3,219
- Score
- 45.47
- Tier
- C
- Coverage
- 71% · Ceiling B
- Quadrant
- Crucible
Coordinates: leverage 53.0 (coverage 79%), friction 61.0 (coverage 65%)
Five pillars
| Pillar | Score | Coverage |
|---|---|---|
| Responsiveness | 31.7 | 35% |
| Criticality | 61.8 | 100% |
| Governance | 50.5 | 100% |
| Rigor | 40.0 | 30% |
| Accessibility | 39.8 | 85% |
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. | Not shown: Insufficient sample size | ||||
| PR Ghost Rate (14d)Share of outside pull requests with no maintainer response, merge or close within 14 days. | 54.5% | 0.0 | 11 | 20 April to 17 October 2026 | primaryraw/pr_window/mlua-rs__mlua.json |
| First-timer Merge RateShare of first-time outside authors' decided pull requests that were merged. | 44.4% | 55.6 | 9 | — | primaryraw/author_history/mlua-rs__mlua.json |
| Time to First ResponseMedian hours from an outside pull request opening to its first substantive human reply. | Not shown: Insufficient sample size | ||||
| Time to Merge (p90)Hours within which 90% of merged outside pull requests were merged. | Not shown: Insufficient sample size | ||||
Criticality
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| DependentsPackages in the registry that depend on this project, counted once each. | 110 | 75.0 | — | — | primaryraw/dependents/mlua-rs__mlua.json |
| Monthly DownloadsDownloads from the package registry in a month. | 710,097 downloads a month | 68.7 | — | — | primaryraw/downloads/crates__mlua.json |
| OpenSSF CriticalityOpenSSF criticality score from 0 to 1, computed from the project's public activity signals. | 0.4193 | 41.9 | — | — | primaryraw/github_meta/mlua-rs__mlua.json |
Governance
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Elephant FactorThe fewest organisations that account for half of the last year's commits. | 1 | 25.0 | 307 | — | primaryraw/commits_365d/mlua-rs__mlua.json |
| Legal IP RegimeThe contributor licence regime: DCO, none, a foundation CLA or a corporate CLA. | No CLA or sign-off found | 85.0 | — | — | primaryraw/governance/mlua-rs__mlua.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/mlua-rs__mlua.json |
Rigor
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| AI Policy PostureWhether the project has a written policy on AI-assisted contributions. | No written AI policy | 40.0 | — | — | primaryraw/governance/mlua-rs__mlua.json |
| Pipeline DefensesHow well the project's build and review pipeline defends against bad changes, 0 to 100. | Not shown: Insufficient sample size | ||||
| Substantive Review RateShare of decided pull requests that received a substantive review. | Not shown: Insufficient sample size | ||||
Accessibility
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Developer ExperienceDeveloper experience, 0 to 100: half CI run time, half setup signals. | 70 | 70.0 | 11 | — | primaryraw/actions_runs/mlua-rs__mlua.json |
| Newcomer ConversionShare of first-time authors whose first pull request merged within 180 days. | 33.3% | 66.7 | 6 | — | primaryraw/author_history/mlua-rs__mlua.json |
| Newcomer Issue SupplyOpen, unassigned, up-to-date issues marked for newcomers. | 0 | 0.0 | — | — | primaryraw/gfi/mlua-rs__mlua.json |
| Newcomer Return RateShare of those merged first-time authors who sent a second pull request within 90 days. | Not shown: Insufficient sample size | ||||
Persona view
| Persona | Rank | Score | Tier | Status |
|---|---|---|---|---|
| Balanced | 2,178 of 3,219 | 45.47 | C | Rated |
| First-timer | 1,433 of 1,525 | 40.81 | C | Rated |
| Career capital | 722 of 798 | 47.53 | C | Rated |
| Senior systems | Fewer than 3 organizations account for most commits (not multi-vendor). | |||
| AI-assisted | 2,636 of 3,696 | 44.27 | C | Rated |
Integrity
- Snapshot
- 2026-10-17
- Raw hash
- f950d6569d9ebeddaebba5c6d58839d8499b3c2d7ba539938ed3bc834c2ae7f3
No suspicion flags on this repository.
The full record is in data/2026-10-17/repos/91.json, under the key mlua-rs/mlua.
How every number is measured: Porchlamp methodology.
Open an issue about this record and say what looks wrong.
Porchlamp (2026). mlua-rs/mlua. Snapshot 2026-10-17. https://porchlamp.org/projects/mlua-rs/mlua/. CC BY 4.0.
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