Software Alternatives, Accelerators & Startups

Gallery VS Scikit-learn

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

Gallery logo Gallery

Gallery is a web based software product that lets you manage your photos on your own website.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Gallery Landing page
    Landing page //
    2021-10-09
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Gallery videos

2020 LG Gallery TV Review: The Best 65" OLED?

More videos:

  • Review - App Gallery REVIEW│¿Qué APP'S hay?│Apps EXCLUSIVAS que no hay en OTRA TIENDA😱😱│MARZO 2020

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 Gallery and Scikit-learn)
Open Source
100 100%
0% 0
Data Science And Machine Learning
Photo Gallery
100 100%
0% 0
Data Science Tools
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 Gallery and Scikit-learn

Gallery Reviews

10+ Best Free and Open Source PHP Image Gallery Scripts
Gallery is an open source web based photo album organizer. Gallery gives you an intuitive way to blend photo management seamlessly into your own website whether you’re running a small personal site or a large community site. Serving millions worldwide, the Gallery project is the most widely used system of its kind.

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 seems to be a lot more popular than Gallery. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Gallery. 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.

Gallery mentions (1)

  • How to host my own image hoster
    Gallery but dunno if it's still developed. I think the OS patches will still be current though. http://galleryproject.org/. Source: over 2 years ago

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 / almost 1 year 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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What are some alternatives?

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

Piwigo.org - Manage your photo collection with Piwigo. Piwigo is open source photo gallery software for the web. Designed for organisations, teams and individuals.

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

Lychee by Electerious - Lychee is an open-source, free software program for self-hosted photo management. It can be installed on the user's own server or website. The software permits the uploading and management of photos and also makes sharing photos very easy.

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

PhotoPrism.app - PhotoPrism® is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.

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