Developer Profile

Walter M. Rafelsberger

@walterra

Austria

GitHub

Impact Score Overview

Developer Impact & Statistics

Final Score

68 / 100Raw: 595.00

Repository Score

62 / 100Raw: 164.00

PR Score

79 / 100Raw: 1141.00

Contribution Score

44 / 100Raw: 78.00

Score Weight Distribution

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

Repository Score (45%)12% of final signal

Pull Request Score (45%)86% of final signal

Contribution Score (10%)2% of final signal

Top Work

Top Work & Highlights

Top Repositories

Most impactful repositories and pull requests

#1d3-milestones

stars202

forks28

JavaScript 9600%Less 400%

Score

#2eddoapp

stars58

forks5

TypeScript 9500%JavaScript 400%

Score

#3agent-tools

stars35

forks2

TypeScript 5700%JavaScript 4300%

Score

Top Pull Requests

Most impactful repositories and pull requests

#1[Lens] Add @kbn/lens-test-helpers with shared ES|QL trendline query case matrix

in elastic/kibana

stars on the PR repository21282

+358/-137

TypeScript 9800%JavaScript 200%

110

Score

#2[9.5] [Lens] Fix ES|QL metric trendlines with TBUCKET (#284839)

in elastic/kibana

stars on the PR repository21282

+1021/-61

TypeScript 9800%JavaScript 200%

110

Score

#3[Lens] Extract DSL-to-ES|QL conversion into `@kbn/lens-common`

in elastic/kibana

stars on the PR repository21282

+1350/-674

TypeScript 9800%JavaScript 200%

110

Score

Community Contributions

comments

#1Issue

Aggregations: `change_point` agg does not return results when nested in `categorize_text` agg

elastic/elasticsearch

stars77898

comments11

Score

#2Issue

[ML] AIOps: Add API for log rate analysis for stack / solutions usage

elastic/kibana

stars21282

comments5

Score

#3Issue

[FTR-to-Scout Visualizations] Migrate Lens LogsDB downgrade tests to Scout

elastic/kibana

stars21282

comments4

Score

Scoring Transparency

▼

Repositories analyzed

Pull requests analyzed

300

Merged external PRs counted

300

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