timholy

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Neuroscientist and developer of the Julia language and its packages, including many developer tools and those of the @JuliaImages organization

Funding Links: https://github.com/sponsors/timholy

• Name: Tim Holy
• Location: St. Louis, Missouri, USA
• Company: Washington University in St. Louis
• Kind: user
• Followers: 1361
• Following: 5
• Total stars: 4009
• Repositories count: 160
• Created at: 2022-11-03T15:04:48.884Z
• Updated at: 2025-02-22T21:30:12.741Z
• Last synced at: 2025-02-22T21:30:12.741Z

GitHub Sponsors Profile

I have contributed extensively to Julia and its package ecosystem. Many of my contributions have focused on developing new tools to make Julia development more efficient.
Alone or with collaborators, I was the initial creator of many core Julia usability features like:

native-code package precompilation, which debuted in Julia 1.9
Revise.jl (an essential tool for developers)
the profiler (Julia's internal Profile stdlib and the ProfileView.jl package)
the debugger (JuliaInterpreter.jl, which provides the core functionality for both Debugger.jl and Julia's VS Code debugging)
"friendly" type-inference annotations in Cthulhu.jl via TypedSyntax.jl
SnoopCompile.jl (a tool for monitoring the activity of the compiler) and elimination of the majority of invalidations in base Julia
Julia's current handling of method ambiguity

I've also pioneered (often with collaborators) many other developments, with highlights such as:

designing Julia's AbstractArray interface ("NumPy for Julia")
JuliaImages
Julia's runtime-cost-estimating inlining algorithm
creation of Julia's @generated functions.

Finally, I also teach and provide teaching materials: https://github.com/timholy/AdvancedScientificComputing and its YouTube channel.
I continue to work on these and related areas; while I make my own choices about what to work on and tend to be cautious about advertising them in advance of knowing whether they will work, I seem to have no shortage of big, impactful ideas for future improvements.
All of this work is open-source and freely given; great ways to thank me include "passing it on" (joining me as a collaborator on improving Julia and its packages with code, tests, or documentation), or showing your sincere appreciation with sponsorship.

• Current Sponsors: 1
• Past Sponsors: 1
• Total Sponsors: 2
• Minimum Sponsorship: $1.00

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