llmware-ai/llmware
What happens to a stranger's pull request here, in the Porchlamp snapshot of 17 October 2026.
For llmware-ai/llmware, the reply time has too small a sample to measure (0 pull requests counted; 10 needed). 60% of 15 outside pull requests got no reply within 14 days (20 April to 17 October 2026). It ranks 3,159 of 3,219 overall. It is not ranked for first-time contributors: not enough evidence to show under this lens.
| Rank | 3,159 of 3,219 |
|---|---|
| Score | 27.58 |
| Tier | D |
| Median first reply | — |
| 14-day no-reply share | 60% |
| First-timer rank | Not enough evidence to show under this lens. |
| Ecosystem | Python |
| Window | 20 April to 17 October 2026 |
Composite
- Rank
- 3,159 of 3,219
- Score
- 27.58
- Tier
- D
- Coverage
- 72% · Ceiling B
- Quadrant
- Graveyard
Coordinates: leverage 25.1 (coverage 100%), friction 64.9 (coverage 50%)
Five pillars
| Pillar | Score | Coverage |
|---|---|---|
| Responsiveness | 40.0 | 25% |
| Criticality | 17.0 | 100% |
| Governance | 50.5 | 100% |
| Rigor | 21.5 | 100% |
| Accessibility | 0.0 | 35% |
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. | 60.0% | 0.0 | 15 | 20 April to 17 October 2026 | primaryraw/pr_window/llmware-ai__llmware.json |
| First-timer Merge RateShare of first-time outside authors' decided pull requests that were merged. | Not shown: Insufficient sample size | ||||
| 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. | 0.0 hours (0 days) | 99.9 | 10 | 18 April to 15 October 2026 | primaryraw/pr_window/llmware-ai__llmware.json |
Criticality
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| DependentsPackages in the registry that depend on this project, counted once each. | 0 | 15.9 | — | — | primaryraw/dependents/llmware-ai__llmware.json |
| Monthly DownloadsDownloads from the package registry in a month. | 1,409 downloads a month | 15.3 | — | — | primaryraw/downloads/pypi__llmware.json |
| OpenSSF CriticalityOpenSSF criticality score from 0 to 1, computed from the project's public activity signals. | 0.195 | 19.5 | — | — | primaryraw/github_meta/llmware-ai__llmware.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 | 160 | — | primaryraw/commits_365d/llmware-ai__llmware.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/llmware-ai__llmware.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/llmware-ai__llmware.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/llmware-ai__llmware.json |
| Pipeline DefensesHow well the project's build and review pipeline defends against bad changes, 0 to 100. | 16 | 16.0 | 10 | — | proxy:review_ciraw/pr_window/llmware-ai__llmware.json |
| Substantive Review RateShare of decided pull requests that received a substantive review. | 8.3% | 10.4 | 12 | 18 April to 15 October 2026 | primaryraw/pr_window/llmware-ai__llmware.json |
Accessibility
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Developer ExperienceDeveloper experience, 0 to 100: half CI run time, half setup signals. | Not shown: Insufficient sample size | ||||
| Newcomer ConversionShare of first-time authors whose first pull request merged within 180 days. | Not shown: Insufficient sample size | ||||
| Newcomer Issue SupplyOpen, unassigned, up-to-date issues marked for newcomers. | 0 | 0.0 | — | — | primaryraw/gfi/llmware-ai__llmware.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 | 3,159 of 3,219 | 27.58 | D | Rated |
| First-timer | Not enough evidence to show under this lens. | |||
| 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 | 3,655 of 3,696 | 26.51 | D | Rated |
Integrity
- Snapshot
- 2026-10-17
- Raw hash
- 57d4c489a07d6afd105c030dffa7c3635f5a08ee563a19ae3f63451fd32f1b31
No suspicion flags on this repository.
The full record is in data/2026-10-17/repos/4a.json, under the key llmware-ai/llmware.
How every number is measured: Porchlamp methodology.
Open an issue about this record and say what looks wrong.
Porchlamp (2026). llmware-ai/llmware. Snapshot 2026-10-17. https://porchlamp.org/projects/llmware-ai/llmware/. CC BY 4.0.
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