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Scikit-learn VS Zig

Compare Scikit-learn VS Zig and see what are their differences

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Zig logo Zig

Zig is a general-purpose programming language designed for robustness, optimality, and maintainability.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Zig Landing page
    Landing page //
    2023-08-19

We recommend LibHunt Zig for discovery and comparisons of trending Zig projects.

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Zig videos

UNHYPE: CRAZY COLLAB Braindead x REEBOK ZIG Kinetica II REVIEW

More videos:

  • Review - Reebok ZIG Kinetica REVIEW [Conor McGregor Shoes] - Durable Everyday Training Sneakers
  • Review - Zig Dynamica - Full Review

Category Popularity

0-100% (relative to Scikit-learn and Zig)
Data Science And Machine Learning
Programming Language
0 0%
100% 100
Data Science Tools
100 100%
0% 0
OOP
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and Zig

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Zig Reviews

We have no reviews of Zig yet.
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Social recommendations and mentions

Based on our record, Zig should be more popular than Scikit-learn. It has been mentiond 144 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
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Zig mentions (144)

  • Show HN: I made a better Perplexity for developers
    It's "Zig" not "Zag". https://ziglang.org/ Zig is under heavy development, but there's a single page https://ziglang.org/documentation/0.12.0/ that is a reasonably comprehensive source of truth about the current state of the language. - Source: Hacker News / 28 days ago
  • How to Write a PHP Extension with Zig?
    When writing code in a scripting language, sometimes you need that extra bit of performance (or maybe an async feature from Zig). - Source: dev.to / about 2 months ago
  • Bun - The One Tool for All Your JavaScript/Typescript Project's Needs?
    NodeJS is by no means a slow runtime, it wouldn’t be so popular if it was. But compared to Bun, it’s slow. Bun was built from the ground up with speed in mind, using both JavascriptCore and Zig. The Bun team spent an enormous amount of time and energy trying to make Bun fast, including lots of profiling, benchmarking, and optimizations. - Source: dev.to / 2 months ago
  • Programming Language Checklist
    You may find Zig interesting: https://ziglang.org. The language is not C compatible but the tooling can compile C and C++ without hassle. - Source: Hacker News / 4 months ago
  • After a day of programming in Zig
    Zig describes itself as "... a general-purpose programming language and toolchain for maintaining robust, optimal and reusable software.". Sounds very generic, eh? - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing Scikit-learn and Zig, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.

OpenCV - OpenCV is the world's biggest computer vision library

V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.

NumPy - NumPy is the fundamental package for scientific computing with Python

Crystal (programming language) - Programming language with Ruby-like syntax that compiles to efficient native code.