Software Alternatives & Reviews

Hack VS Scikit-learn

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

Hack logo Hack

A programming language for HHVM that interoperates seamlessly with PHP

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Hack Landing page
    Landing page //
    2022-04-18
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Hack videos

Project .hack Series Review! - The Game Collection

More videos:

  • Review - Hacked Movie REVIEW | Deeksha Sharma
  • Review - Review: .hack//G.U. Last Recode (PS4, also on PC)

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Category Popularity

0-100% (relative to Hack and Scikit-learn)
Typography
100 100%
0% 0
Data Science And Machine Learning
Design
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using Hack and Scikit-learn. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Hack Reviews

We have no reviews of Hack yet.
Be the first one to post

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...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Hack. It has been mentiond 28 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.

Hack mentions (17)

  • Benchmarking 20 programming languages on N-queens and matrix multiplication
    PHP results: Is Hack still popular with PHP people? I was stupid enough to write some scientific code in PHP once so know how slow it can be. But if your going to do try write performant code in PHP use the HHVM interpreter. It's much faster. Hack (https://hacklang.org/) uses that under the hood by default. - Source: Hacker News / 4 months ago
  • If a company's codebase for backend is PHP, is it worh it to join, when you are a fresh graduate and only know C# and Java?
    Meta: hacklang.org has the details there. It forked off of PHP ~5 years ago, and is no longer backwards compatible. I believe this is also what Slack uses. Source: 11 months ago
  • Backends with React
    Facebook literally created Hack because PHP wasn't meeting their needs at the time. Source: about 1 year ago
  • Why had flutter not replaced react native yet?
    Well, yeah, since they generally don't kill popular projects. Hell hack is still getting updates even though no one ever gave a shit about it. Meanwhile Flutter can be cancelled tomorrow because another division made Clutter and they have more "political" pull at google... Source: over 1 year ago
  • Meta makes Rust endorsed server-side language
    They actually create/use Hack. Haxe is something else. Source: almost 2 years ago
View more

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 / 2 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 / 11 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: 12 months 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: 12 months 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: about 1 year ago
View more

What are some alternatives?

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

Operator - Looking for something? Make a request and we'll find it.

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

M+ 1m - Download and install the M+ 1m free font family by M+ Fonts as well as test-drive and see a complete character set.

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

Inconsolata - OSX, Productivity, Design, Typography, powerline, and Fonts

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