Developer Profile

Marijan Smetko

@InCogNiTo124

Zagreb, Hrvatska

GitHub

Impact Score Overview

Developer Impact & Statistics

Final Score

59 / 100Raw: 722.00

Repository Score

38 / 100Raw: 60.00

PR Score

84 / 100Raw: 1524.00

Contribution Score

48 / 100Raw: 93.00

Score Weight Distribution

finalScore = repoScore * 0.45 + prScore * 0.45 + contributionScore * 0.10

Repository Score (45%)4% of final signal

Pull Request Score (45%)95% of final signal

Contribution Score (10%)1% of final signal

Top Work

Top Work & Highlights

Top Repositories

Most impactful repositories and pull requests

#1knarrow

stars18

forks0

Python 10000%

Score

#2autotax

stars6

forks0

Python 6700%Jinja 3300%

Score

#3datamars

stars3

forks0

Rust 10000%

Score

Top Pull Requests

Most impactful repositories and pull requests

#1PSNR implementation

in Lightning-AI/pytorch-lightning

stars on the PR repository31322

+163/-5

Python 10000%

114

Score

#2Sort dataset entries alphabetically

in pytorch/vision

stars on the PR repository17898

+88/-100

Python 8800%C++ 700%Cuda 300%

108

Score

#3Warn user about the working copy when configuring the author

in jj-vcs/jj

stars on the PR repository31434

+103/-2

Rust 9900%

106

Score

Community Contributions

comments

#1Issue

Surprising author of the first working copy

jj-vcs/jj

stars31434

comments12

Score

#2Issue

Google Artifacts repository support

pypa/hatch

stars7236

comments17

Score

#3Issue

[DataModule] PyTorch datasets as DataModules out of the box

Lightning-AI/pytorch-lightning

stars31322

comments9

Score

Scoring Transparency

▼

Repositories analyzed

Pull requests analyzed

Merged external PRs counted

Own-repo PRs ignored

Unmerged PRs ignored

Unique external repositories

Issues analyzed

100

External issues counted

100

Discussions analyzed

External discussions counted

How this score was calculated

View the full scoring methodology with formulas, penalties, and step-by-step flow.

View full methodology