Developer Profile

Matthew Rocklin

@mrocklin

Austin, TX

GitHub

Impact Score Overview

Developer Impact & Statistics

Final Score

74 / 100Raw: 1065.00

Repository Score

64 / 100Raw: 176.00

PR Score

88 / 100Raw: 2165.00

Contribution Score

54 / 100Raw: 117.00

Score Weight Distribution

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

Repository Score (45%)7% of final signal

Pull Request Score (45%)91% of final signal

Contribution Score (10%)2% of final signal

Top Work

Top Work & Highlights

Top Repositories

Most impactful repositories and pull requests

#1claudechic

stars113

forks29

Python 10000%

Score

#2multipledispatch

stars847

forks73

Python 10000%

Score

#3dask-array

stars21

forks3

Python 9000%Rust 900%

Score

Top Pull Requests

Most impactful repositories and pull requests

#1Add first draft of Coiled content to deployment documentation

in PrefectHQ/prefect

stars on the PR repository23786

+364/-6

Python 8000%TypeScript 2000%

111

Score

#2Support composite expressions with `__dask_exprs__` protocol

in dask/dask

stars on the PR repository13911

+454/-17

Python 10000%

105

Score

#3Add PyPI release workflow

in dask/dask

stars on the PR repository13911

+187/-12

Python 10000%

105

Score

Community Contributions

comments

#1Issue

[Python][Parquet] Parquet deserialization speeds slower on Linux

apache/arrow

stars17086

comments87

Score

#2Issue

Challenges with scan_parquet and S3 files

pola-rs/polars

stars39658

comments24

Score

#3Issue

Parquet Reboot

dask/dask

stars13911

comments20

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