pytorch/tutorials
What happens to a stranger's pull request here, in the Porchlamp snapshot of 17 October 2026.
Outside pull requests to pytorch/tutorials got a first human reply in a median of 17.5 hours (47 pull requests, 18 April to 15 October 2026); 41% got none within 14 days. It ranks 843 of 3,219 overall. For first-time contributors it ranks 557 of 1,525 (the top 37%).
| Rank | 843 of 3,219 |
|---|---|
| Score | 56.62 |
| Tier | B |
| Median first reply | 17.5 hours |
| 14-day no-reply share | 41% |
| First-timer rank | 557 of 1,525 |
| Ecosystem | Python |
| Window | 18 April to 15 October 2026 |
Composite
- Rank
- 843 of 3,219
- Score
- 56.62
- Tier
- B
- Coverage
- 84% · Ceiling A
- Quadrant
- Sweet Spot
Coordinates: leverage 50.6 (coverage 68%), friction 37.5 (coverage 100%)
Five pillars
| Pillar | Score | Coverage |
|---|---|---|
| Responsiveness | 68.7 | 100% |
| Criticality | 43.2 | 35% |
| Governance | 55.8 | 100% |
| Rigor | 59.7 | 100% |
| Accessibility | 56.9 | 100% |
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. | 68.9% | 86.1 | 61 | 18 April to 17 July 2026 | primaryraw/pr_window/pytorch__tutorials.json |
| PR Ghost Rate (14d)Share of outside pull requests with no maintainer response, merge or close within 14 days. | 41.0% | 17.9 | 78 | 20 April to 17 October 2026 | primaryraw/pr_window/pytorch__tutorials.json |
| First-timer Merge RateShare of first-time outside authors' decided pull requests that were merged. | 53.9% | 67.3 | 26 | — | primaryraw/author_history/pytorch__tutorials.json |
| Time to First ResponseMedian hours from an outside pull request opening to its first substantive human reply. | 17.5 hours (0.7 days) | 86.4 | 47 | 18 April to 15 October 2026 | primaryraw/pr_window/pytorch__tutorials.json |
| Time to Merge (p90)Hours within which 90% of merged outside pull requests were merged. | 315.2 hours (13.1 days) | 51.5 | 46 | 18 April to 15 October 2026 | primaryraw/pr_window/pytorch__tutorials.json |
Criticality
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| DependentsPackages in the registry that depend on this project, counted once each. | Not shown: Third-party data unavailable | ||||
| Monthly DownloadsDownloads from the package registry in a month. | Not shown: Third-party data unavailable | ||||
| OpenSSF CriticalityOpenSSF criticality score from 0 to 1, computed from the project's public activity signals. | 0.4318 | 43.2 | — | — | proxy:no_dependents_signalraw/github_meta/pytorch__tutorials.json |
Governance
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Elephant FactorThe fewest organisations that account for half of the last year's commits. | 5 | 100.0 | 121 | — | primaryraw/commits_365d/pytorch__tutorials.json |
| Legal IP RegimeThe contributor licence regime: DCO, none, a foundation CLA or a corporate CLA. | Company CLA | 25.0 | — | — | primaryraw/governance/pytorch__tutorials.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/pytorch__tutorials.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/pytorch__tutorials.json |
| Pipeline DefensesHow well the project's build and review pipeline defends against bad changes, 0 to 100. | 65 | 65.0 | — | — | primaryraw/scorecard/pytorch__tutorials.json |
| Substantive Review RateShare of decided pull requests that received a substantive review. | 13.8% | 17.2 | 58 | 18 April to 15 October 2026 | primaryraw/pr_window/pytorch__tutorials.json |
Accessibility
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Developer ExperienceDeveloper experience, 0 to 100: half CI run time, half setup signals. | 85 | 85.0 | 15 | — | primaryraw/actions_runs/pytorch__tutorials.json |
| Newcomer ConversionShare of first-time authors whose first pull request merged within 180 days. | 47.1% | 94.1 | 17 | — | primaryraw/author_history/pytorch__tutorials.json |
| Newcomer Issue SupplyOpen, unassigned, up-to-date issues marked for newcomers. | 0 | 0.0 | — | — | primaryraw/gfi/pytorch__tutorials.json |
| Newcomer Return RateShare of those merged first-time authors who sent a second pull request within 90 days. | 37.5% | 75.0 | 8 | — | primaryraw/author_history/pytorch__tutorials.json |
Persona view
| Persona | Rank | Score | Tier | Status |
|---|---|---|---|---|
| Balanced | 843 of 3,219 | 56.62 | B | Rated |
| First-timer | 557 of 1,525 | 59.78 | B | Rated |
| Career capital | This repository's production-criticality signal is not yet high enough for career-capital ranking. | |||
| Senior systems | 644 of 1,276 | 54.14 | C | Rated |
| AI-assisted | 885 of 3,696 | 57.32 | B | Rated |
Integrity
- Snapshot
- 2026-10-17
- Raw hash
- 0b32f0abdbe5a11c407bfad93603b3f2f4562f9054d339c0181c4bc2e75b9bea
No suspicion flags on this repository.
The full record is in data/2026-10-17/repos/f9.json, under the key pytorch/tutorials.
How every number is measured: Porchlamp methodology.
Open an issue about this record and say what looks wrong.
Porchlamp (2026). pytorch/tutorials. Snapshot 2026-10-17. https://porchlamp.org/projects/pytorch/tutorials/. CC BY 4.0.
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