hip VS opencv

Compare hip vs opencv and see what are their differences.

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hip opencv
- 1
113 152
- 0.0%
0.0 0.0
3 months ago 7 months ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" 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.


Posts with mentions or reviews of hip. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning hip yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of opencv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-31.

What are some alternatives?

When comparing hip and opencv you can also consider the following projects:

caer - High-performance Vision library in Python. Scale your research, not boilerplate.


friday - Fast image IO and transformations.

hnn - haskell neural network library

typed-spreadsheet - Typed and composable spreadsheets

xcffib - A drop-in replacement for xpyb based on cffi

yampa-canvas - Blank Canvas backend for Yampa

graphviz - Haskell bindings to the Graphviz toolkit

free-game - The free game engine

graphics-drawingcombinators - Combinators for drawing 2D shapes and images in Haskell (using OpenGL)

moo - Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-point, two-point, and uniform crossover. Continuous GAs: Gaussian mutation; BLX-α, UNDX, and SBX crossover. Selection operators: roulette, tournament, and stochastic universal sampling (SUS); with optional niching, ranking, and scaling. Replacement strategies: generational with elitism and steady state. Constrained optimization: random constrained initialization, death penalty, constrained selection without a penalty function. Multi-objective optimization: NSGA-II and constrained NSGA-II.

clay - A CSS preprocessor as embedded Haskell.