espressif/esptool
What happens to a stranger's pull request here, in the Porchlamp snapshot of 17 October 2026.
Outside pull requests to espressif/esptool got a first human reply in a median of 2.6 days (10 pull requests, 19 April to 16 October 2026). The share with no reply within 14 days has too small a sample to measure (4 pull requests counted; 10 needed). It ranks 2,210 of 3,219 overall. It is not ranked for first-time contributors: not enough evidence to show under this lens.
| Rank | 2,210 of 3,219 |
|---|---|
| Score | 45.21 |
| Tier | C |
| Median first reply | 2.6 days (62.3 hours) |
| 14-day no-reply share | — |
| First-timer rank | Not enough evidence to show under this lens. |
| Ecosystem | Python |
| Window | 19 April to 16 October 2026 |
Composite
- Rank
- 2,210 of 3,219
- Score
- 45.21
- Tier
- C
- Coverage
- 80% · Ceiling A
- Quadrant
- Crucible
Coordinates: leverage 52.6 (coverage 100%), friction 59.6 (coverage 62%)
Five pillars
| Pillar | Score | Coverage |
|---|---|---|
| Responsiveness | 40.6 | 30% |
| Criticality | 54.4 | 100% |
| Governance | 50.5 | 100% |
| Rigor | 50.9 | 100% |
| Accessibility | 24.8 | 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. | Not shown: Insufficient sample size | ||||
| 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. | 62.3 hours (2.6 days) | 40.6 | 10 | 19 April to 16 October 2026 | primaryraw/pr_window/espressif__esptool.json |
| 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. | 23 | 58.5 | — | — | primaryraw/dependents/espressif__esptool.json |
| Monthly DownloadsDownloads from the package registry in a month. | 1.4 million downloads a month | 65.5 | — | — | primaryraw/downloads/pypi__esptool.json |
| OpenSSF CriticalityOpenSSF criticality score from 0 to 1, computed from the project's public activity signals. | 0.419 | 41.9 | — | — | primaryraw/github_meta/espressif__esptool.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 | 277 | — | primaryraw/commits_365d/espressif__esptool.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/espressif__esptool.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/espressif__esptool.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/espressif__esptool.json |
| Pipeline DefensesHow well the project's build and review pipeline defends against bad changes, 0 to 100. | 47.5 | 47.5 | — | — | primaryraw/scorecard/espressif__esptool.json |
| Substantive Review RateShare of decided pull requests that received a substantive review. | 9.1% | 11.4 | 11 | 19 April to 16 October 2026 | primaryraw/pr_window/espressif__esptool.json |
Accessibility
| Parameter | Value | Score | Count | Window | Source |
|---|---|---|---|---|---|
| Developer ExperienceDeveloper experience, 0 to 100: half CI run time, half setup signals. | 47.25 | 47.3 | 27 | — | primaryraw/actions_runs/espressif__esptool.json |
| Newcomer ConversionShare of first-time authors whose first pull request merged within 180 days. | 20.0% | 40.0 | 5 | — | primaryraw/author_history/espressif__esptool.json |
| Newcomer Issue SupplyOpen, unassigned, up-to-date issues marked for newcomers. | 0 | 0.0 | — | — | primaryraw/gfi/espressif__esptool.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 | 2,210 of 3,219 | 45.21 | C | 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 | 2,325 of 3,696 | 46.88 | C | Rated |
Integrity
- Snapshot
- 2026-10-17
- Raw hash
- b40e7f5c3e16dc612fa99cfe9e2fa170cc441582e39c9ef0b2f843a5e97a9dbb
No suspicion flags on this repository.
The full record is in data/2026-10-17/repos/ef.json, under the key espressif/esptool.
How every number is measured: Porchlamp methodology.
Open an issue about this record and say what looks wrong.
Porchlamp (2026). espressif/esptool. Snapshot 2026-10-17. https://porchlamp.org/projects/espressif/esptool/. CC BY 4.0.
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