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google-cloud-python — Engineering Performance

32 engineers all time · Jan 2025 – Aug 2026 · built 2026-08-23 · GitHub

Performance snapshot

Today's rolling 90-day reading for google-cloud-python, compared with the start of the series. Pick a window to move that comparison point.

Eff. capacity added

+34.0engineers

17 devs deliver like 51 (3.0x pre-AI)

Avg. perf / dev / mo (ETV)

+209.6%

0.83 → 2.58

Active engineers

−10.5%

19.0 → 17.0

Features

+12.6pp

23.3% → 35.9%

google-cloud-python vs. Google

Per-engineer ETV for google-cloud-python against Google as a whole. Both lines are 90-day rolling averages scaled to a 30-day month, so they share one axis and can be read against each other at any point. Pick a window to zoom the chart to it.

google-cloud-python
2.58ETV / dev / mo
+1.52 (+143.4%) past 90d
Google
2.05ETV / dev / mo
+0.66 (+47.5%) past 90d

Performance over time

ETV stacked by Features / Maintenance / Tests / Docs / Fixes — 90-day moving average, normalized to ETV / month.

Engineering capacity

Effective engineers behind google-cloud-python, in pre-AI terms. Per-engineer ETV divided by the Q1 2025 baseline of 0.86 ETV / dev / mo gives a capacity multiple, and that multiple applied to the engineers active in the trailing 90 days turns it into engineer-equivalents. The line is the real headcount, so the gap between line and area is what the leverage is worth.

Effective engineers
51engineer-equivalents
+34 engineers above real headcount
Real engineers
17engineers
active in the trailing 90 days
Capacity vs pre-AI
3.0x
per engineer, vs 0.86 ETV / dev / mo

Knowledge concentration

How dependent is this repo on a small number of engineers? Higher top-1 share = higher key-person risk.

Top 1
24.7 %
Top 3
42.8 %
Top 5
55.4 %

Anthonios Partheniou owns 24.7 % of commits.

Reports

Written summary of the work completed each month.

No monthly reports available yet.

Top engineers

Most impactful commits

Top 10 by ETV in the all-time window.