Trending Categories Repositories Insights Dependencies Withheld

Trending Categories Repositories Insights Dependencies Withheld

Trending repositories

Ranked by Attention Score: stars gained over the last 7 complete days

Period

Sort order

Topics: gpu-programming

Topics

Search topics

No listed topic matches. Press Enter to filter by “”.

Category

Filters

Apply

Filters

Primary language

License

Total stars

Last push

Created

Archived

Clear all filters

5 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)

Topic: gpu-programming

1.taichi-dev / taichi

Productive, portable, and performant GPU programming in Python.

taichi
differentiable-programming
gpu-programming
sparse-computation
gpu
computer-graphics

C++APACHE-2.028K total2.4K forks

+12 stars

from 28,428 · score 2.56

2.plasma-umass / scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

python
profiling
performance-analysis
cpu-profiling
profiler
python-profilers
+8 more

Python APACHE-2.014K total446 forks

+12 stars

from 13,530 · score 2.56

3.taskflow / taskflow

A General-purpose Task-parallel Programming System in C++

parallel-programming
threadpool
concurrent-programming
high-performance-computing
multicore-programming
multi-threading
+9 more

C++Other license12K total1.4K forks

+11 stars

from 12,212 · score 2.48

4.exaloop / codon

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

python
compiler
llvm
high-performance
gpu-programming
parallel-programming
+1 more

Python APACHE-2.017K total609 forks

+3 stars

from 16,862 · score 1.39

5.runmat-org / runmat

Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.

matlab
rust
jit-compiler
linear-algebra
mathematics
numerical-analysis
+6 more

Rust APACHE-2.0271 total10 forks

+2 stars

from 269 · score 1.10

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

How the ranking works

Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Category holds the repositories that its published rules match; see Categories.

Repositories enter the index from the Seed Dataset or by gaining stars faster than the published admission threshold, whatever their size. Admission is permanent, so an archived repository can still rank.

Browse the Repository Index

Trending Categories Repositories Insights Dependencies Withheld Withholding Rule Privacy Send feedback