statistics
A fast, high quality library for computing with statistics in Haskell. (by haskell)
ghc-timing-treemap
Visualize fine-grained timing data from ghc verbose logs (by jberryman)
| statistics | ghc-timing-treemap | |
|---|---|---|
| 1 | 2 | |
| 295 | 13 | |
| 0.3% | - | |
| 6.1 | 0.0 | |
| 7 months ago | over 2 years ago | |
| Haskell | HTML | |
| BSD 2-clause "Simplified" License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
statistics
Posts with mentions or reviews of statistics.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-29.
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Tweag - Intern opening to improve GHC performance
I just did cabal build | ts -i '[%.s]' and found that https://github.com/haskell/statistics/blob/a2aa25181e50cd63db4a785c20c973a3c4dd5dac/Statistics/Function.hs takes 5 seconds to compile! Quite insane, warrants an issue. Probably related to inlining.
ghc-timing-treemap
Posts with mentions or reviews of ghc-timing-treemap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-29.
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Tiny use of Template Haskell causing huge memory spikes at compilation?
You might also try compiling with -v and visualizing with: https://github.com/jberryman/ghc-timing-treemap (note: the file has to have .log or .txt extension I think, for some reason), and seeing how it compares to what I get with 8.10: https://imgur.com/a/FwovIzn
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Tweag - Intern opening to improve GHC performance
Random thought: I wrote a small script for visualizing timing from ghc debug output: https://github.com/jberryman/ghc-timing-treemap ; I wonder if you could somehow enrich this with information from the metadata that powers the new info-table profiling mode (source information can propogate through inlining and optimizing passes). That might help in determining where code is being re-optimized and recompiled (or if that's the case)
What are some alternatives?
When comparing statistics and ghc-timing-treemap you can also consider the following projects:
nimber - Finite nimber arithmetic
statistics-linreg - Linear Regression in Haskell
singletons-presburger - Presburger arithmetic solver for built-in type-level naturals
levmar - An implementation of the Levenberg-Marquardt algorithm
fast-math - Play fast and loose with IEEE-754 rewrite RULES
linearEqSolver - Solve systems of linear equations, using SMT solvers.
ms - metric spaces
gamma - Haskell implementation of gamma and incomplete gamma functions
RANSAC - Haskell implementation of the RANSAC algorithm.
manifold-random - Coordinate-free hypersurfaces as Haskell types
frotate - Advanced rotation of backups and other things
reservoir - Reservoir Sampling Algorithms in Haskell