mljar/mercury
What happens to a stranger's pull request here, in the Porchlamp snapshot of 17 October 2026.
Outside pull requests to mljar/mercury got a first human reply in a median of 3.5 hours (10 pull requests, 19 April to 16 October 2026); 0% got none within 14 days. It ranks 1,846 of 3,219 overall. For first-time contributors it ranks 949 of 1,525 (the bottom 38%).
| Rank | 1,846 of 3,219 |
|---|---|
| Score | 48.40 |
| Tier | C |
| Median first reply | 3.5 hours |
| 14-day no-reply share | 0% |
| First-timer rank | 949 of 1,525 |
| Ecosystem | Python |
| Window | 19 April to 16 October 2026 |
Composite
- Rank
- 1,846 of 3,219
- Score
- 48.40
- Tier
- C
- Coverage
- 93% · Ceiling A
- Quadrant
- Nursery
Coordinates: leverage 35.6 (coverage 100%), friction 38.4 (coverage 90%)
Five pillars
| Pillar | Score | Coverage |
|---|---|---|
| Responsiveness | 95.3 | 100% |
| Criticality | 30.3 | 100% |
| Governance | 29.5 | 100% |
| Rigor | 48.5 | 100% |
| Accessibility | 25.5 | 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. | 100.0% | 100.0 | 13 | 19 April to 18 July 2026 | primaryraw/pr_window/mljar__mercury.json |
| PR Ghost Rate (14d)Share of outside pull requests with no maintainer response, merge or close within 14 days. | 0.0% | 100.0 | 21 | 20 April to 17 October 2026 | primaryraw/pr_window/mljar__mercury.json |
| First-timer Merge RateShare of first-time outside authors' decided pull requests that were merged. | 71.4% | 89.3 | 7 | — | primaryraw/author_history/mljar__mercury.json |
| Time to First ResponseMedian hours from an outside pull request opening to its first substantive human reply. | 3.5 hours (0.1 days) | 100.0 | 10 | 19 April to 16 October 2026 | primaryraw/pr_window/mljar__mercury.json |
| Time to Merge (p90)Hours within which 90% of merged outside pull requests were merged. | 143.9 hours (6 days) | 74.1 | 20 | 19 April to 16 October 2026 | primaryraw/pr_window/mljar__mercury.json |
Criticality
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| DependentsPackages in the registry that depend on this project, counted once each. | 1 | 34.4 | — | — | primaryraw/dependents/mljar__mercury.json |
| Monthly DownloadsDownloads from the package registry in a month. | 1,930 downloads a month | 17.5 | — | — | primaryraw/downloads/pypi__mercury.json |
| OpenSSF CriticalityOpenSSF criticality score from 0 to 1, computed from the project's public activity signals. | 0.3477 | 34.8 | — | — | primaryraw/github_meta/mljar__mercury.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 | 334 | — | primaryraw/commits_365d/mljar__mercury.json |
| Legal IP RegimeThe contributor licence regime: DCO, none, a foundation CLA or a corporate CLA. | Company CLA | 25.0 | — | — | primaryraw/governance/mljar__mercury.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/mljar__mercury.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/mljar__mercury.json |
| Pipeline DefensesHow well the project's build and review pipeline defends against bad changes, 0 to 100. | 50 | 50.0 | — | — | primaryraw/scorecard/mljar__mercury.json |
| Substantive Review RateShare of decided pull requests that received a substantive review. | 0.0% | 0.0 | 23 | 19 April to 16 October 2026 | primaryraw/pr_window/mljar__mercury.json |
Accessibility
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Developer ExperienceDeveloper experience, 0 to 100: half CI run time, half setup signals. | 85 | 85.0 | 8 | — | primaryraw/actions_runs/mljar__mercury.json |
| 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/mljar__mercury.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 | 1,846 of 3,219 | 48.40 | C | Rated |
| First-timer | 949 of 1,525 | 53.30 | 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 | 2,010 of 3,696 | 49.07 | C | Rated |
Integrity
- Snapshot
- 2026-10-17
- Raw hash
- de3dd6f8c09782d3fe29f6783e6bebc01199c8c065f5b513f2f71324c48cc517
No suspicion flags on this repository.
The full record is in data/2026-10-17/repos/f8.json, under the key mljar/mercury.
How every number is measured: Porchlamp methodology.
Open an issue about this record and say what looks wrong.
Porchlamp (2026). mljar/mercury. Snapshot 2026-10-17. https://porchlamp.org/projects/mljar/mercury/. CC BY 4.0.
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