Every leaf is a headline number from Michael Waskom’s public GitHub. The canopy fills out as the work grows - sway and all.
Data from GitHub API · refreshed in real time
Based on public GitHub activity · how this is calculated
HTML is the largest language share across analyzed repositories, at 74%.
High confidence
Public visibility is concentrated: the top 3 analyzed repositories account for 99% of total stars, led by seaborn.
Medium confidence
Public GitHub activity is evenly spread across commits, pull requests, reviews and issues.
Medium confidence
Most analyzed repositories (30 of 32) show no public activity in over a year.
Medium confidence
Signals from analyzed public data
Strong
Needs work
Needs work
Needs work
Strong
A skim of public evidence, not a hiring judgement
Largest language shares across analyzed repositories
Analyzed repositories rated established or maintained
Public pull requests and code reviews in the trailing year
Summed across analyzed repositories
Calendar months with at least one tracked contribution
Strongest signals
Michael Waskom is a developer on GitHub whose public work is written mostly in HTML, which accounts for roughly 74% of their committed code, alongside Jupyter Notebook and Python. Their account holds 32 public repositories, collecting 16,256 stars in total, led by seaborn at 14,039. In the trailing year the account logged 3,241 contributions, including a longest run of 20 consecutive active days. Michael Waskom has been on GitHub since 2010 and is followed by 3,469 developers.
This overview is generated from Michael Waskom’s public GitHub activity at the time of the last refresh. Figures cover public repositories and the trailing twelve months of contributions.
Review lyman
High impactlyman is pinned to your profile but hasn't been pushed to in over a year.
lyman →Add topics to lyman
High impactlyman is pinned but has no topic tags, making its stack harder to identify.
lyman →Review StatApps
High impactStatApps is pinned to your profile but hasn't been pushed to in over a year.
StatApps →Add topics to StatApps
High impactStatApps is pinned but has no topic tags, making its stack harder to identify.
StatApps →Add topics to seaborn-data
Low impactseaborn-data has no topic tags, making its technology harder to discover.
seaborn-data →Add topics to Psych216
Low impactPsych216 has no topic tags, making its technology harder to discover.
Psych216 →Add topics to Waskom_CerebCortex_2017
Low impactWaskom_CerebCortex_2017 has no topic tags, making its technology harder to discover.
Waskom_CerebCortex_2017 →How these are calculated: see the methodology page .
Statistical data visualization in Python
Data repository for seaborn examples
Small web apps that illustrate statistical concepts
Data pipelines and analysis library for functional MRI
A translation of Kendrick's MATLAB statistics class materials into Python
Statistical Methods for Behavioral and Social Sciences
Tutorial notebooks for Nipype
Bayesian optimal probability learner
Analysis repository for Waskom et al., (2017) Cerebral Cortex
Statistical data visualization in Python
Data pipelines and analysis library for functional MRI
NMA Computational Neuroscience course
Small web apps that illustrate statistical concepts
Analysis code for Waskom and Wagner (2017) PNAS
Data and code from Waskom and Kiani (2018) Current Biology
Statistical data visualization in Python
Data repository for seaborn examples
Small web apps that illustrate statistical concepts
Data pipelines and analysis library for functional MRI
A translation of Kendrick's MATLAB statistics class materials into Python
Assorted utilities for neuroimaging and cognitive science
Public visibility is concentrated in a small number of projects - these are the strongest candidates to feature on a resume.
Leading repository: seaborn (14,039 stars, 16,256 total across analyzed repositories)
Derived from repository languages and topics - horizontal bars, never a pie.
README, contributing-guide and GitHub Actions badges below are detected by exact filename on each repository’s default branch - they report presence, not quality.
I tuoi progetti e le tue competenze sono già compilati da GitHub. Aggiungi ciò che GitHub non pubblica - dettagli di contatto, esperienza ed educazione - ed esporta un PDF di una pagina compatibile con gli ATS.
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| Name | Language | Stars | Forks | Size | Updated |
|---|
No repositories match those filters.
Best coding day: Wed
Created the @mwaskom account.
Published PyROI, the oldest repository still on the account.
PyROI is the earliest-created repository to have earned stars.
Psych254_Project was the 10th public repository created.
mwaskom.github.io is the most recently created repository.
1,777 contributions recorded in 2025, more than any other year on record.
Your GitHub career, year by year.
→Went deeper into Python.
Went deeper into Python.
Went deeper into Python.
Went deeper into Python.
Went deeper into Python.
Went deeper into Python.
Shifted from Python to Jupyter Notebook.
Shifted from Jupyter Notebook to HTML.
Built from mwaskom’s public, non-fork repositories. Star totals reflect current counts, not historical snapshots.
4 / 9 unlocked
The primary languages of repositories created each year.
Repositories created per year, and the running total.
Built automatically from repository languages and topics.
