Software Alternatives, Accelerators & Startups

Scikit-learn VS Localazy

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

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Scikit-learn logo Scikit-learn

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

Localazy logo Localazy

Forget all the hassle and make your app available in 80+ languages with the translation platform built for app developers.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Localazy Landing page
    Landing page //
    2021-09-13

Integrate +in minutes using CLI or available SDK +No changes to the source code +Get Rid of uploading and downloading strings files manually

Translate + Up to 50% of your app to 80 languages with shared translations for free. + Use shared translation memory to speed up. + Deliver updated translations over-the-air.

Review + Translations from your contributors and never get lost in changes. + Review & approve when you have time + Ensure high-quality with pro-active review

Localazy

$ Details
freemium $19.0 / Monthly (Professional)
Platforms
Android Cloud Web Browser iOS JavaScript Swift React Native TypeScript Vue.js Windows Mac OSX Linux Node JS Cross Platform Ruby Java ReactJS Go PHP Wordpress Python Laravel Docker

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Localazy features and specs

  • Always Up-To-Date!
    Deliver new translations and languages to your users online. We collect anonymous stats and use them to optimize the translation process.
  • Share Translations
    Share your code on Github (or elsewhere) and your translations on Localazy. Get your app translated to 80 languages with shared translations for free.
  • Flavors & Build Types 🍦
    Localazy understands your project structure and correctly translates product flavors and build types.
  • App Bundles & Libraries 📖
    Translate your app including dynamic app modules and libraries. App Bundles are fully supported too.
  • Array-lists & Plurals 👏
    No compromises. Localazy supports all types of Android's resources, so you don't need to take care of it manually.
  • App versions 🔀
    Localazy handles deprecated phrases and keeps them available for older versions of your app. No need to handle that on your side.
  • Optimized Translations 📈
    Localazy collects anonymous stats and prioritizes the translation and review process based on phrase importance.
  • Easy to Set-up and use
    Setup & Forget configuration.
  • Clean UI
    User friendly UI, easy to use on mobile devices as well.
  • Analytics and Reporting
  • Integrations
    50+ integrations and growing

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Analysis of Localazy

Overall verdict

  • Localazy is a solid choice for businesses and developers looking for a reliable and efficient localization tool. Its blend of ease of use, functionality, and cost-effectiveness makes it a competitive option in the localization market.

Why this product is good

  • Localazy is considered a good option because it offers a user-friendly interface, supports multiple file formats, and has automation features that streamline the localization process. It also provides affordable pricing options and allows collaboration across different team members, which enhances the efficiency of translation workflows.

Recommended for

  • Developers who need to localize their apps efficiently
  • Small to medium-sized businesses seeking a cost-effective localization solution
  • Teams looking for a tool that supports collaborative translation workflows
  • Organizations with a diverse audience requiring multi-language content delivery

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Localazy videos

How to Create Multilingual Apps with Localazy - Platform Agnostic Continuous Localization

More videos:

  • Demo - Automated SW localization using Localazy CLI
  • Tutorial - Sync translations across your tech stack
  • Review - Going Walkabout - iOS localization workflow

Category Popularity

0-100% (relative to Scikit-learn and Localazy)
Data Science And Machine Learning
Localization
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Translation
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 Localazy

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...

Localazy Reviews

  1. Raghav Satyadev
    · Freelance Android Developer at Self-Employed ·
    A great automated translation tool for even a non-developer

    I got to know about this product from a friend. They told me that it provides OTA translations, I was in total denial first. But when I first checked it out I was totally in awe. It removes the hassle of adding new languages via each app update. Their prices are also really low.

    👍 Pros:    Automated ota translations are fixed. no need to update the app every time you need to add new language translation to app.
    👎 Cons:    I haven't found any cons till now. but i am in close connections with developers, so if anything is broken i can ask them to fix it immediately
  2. Manoj
    · Developer at Raw ·
    Amazing translation platform to localize my apps!

    I am super impressed by the translation platform provided by Localazy – I didn’t even know that something like this would be possible when I first started looking for localization solutions for my app; but once I’d seen it, I knew that it was something that I definitely had to have.

    Localazy has made it easy for my apps to add translations, helping me provide a more global audience reach. And the Localazy support team is awesome!

  3. Translate an app quickly and easily

    I was looking for a simple and cheap service to translate my app and I came across Localazy almost by chance. it was a pleasant discovery, I have been using it for months and I find it fantastic! The translations are published in real time without the need to update the app every time and this has allowed me to enlarge my audience. The integration is simple and fast but it can be customized according to the needs of each app or developer

    👍 Pros:    Ota|Cheap|Super simple|Great customer support

Best Localization Software in 2022
Another excellent option for your localization purposes is Localazy. You can simply localize your mobile, web, or desktop software using their user-friendly interface. Localazy facilitates communication and provides a complete picture of your localization project. You'll have complete control over your team members if you use contributor control. The strength of their...
Source: tolgee.io

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Localazy. It has been mentiond 31 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 (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 12 months ago
  • 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 / over 1 year 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 2 years ago
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Localazy mentions (19)

  • The developer mistake that makes most localisations to my language (and likely many others) very low quality and how to avoid it
    I would rather go with tools like Localazy and provide context (screenshots, glossary, message for translators, etc.). Source: about 2 years ago
  • How do you export strings for the translations team?
    You should use dedicated software that understands placeholders and formatting parameters correctly. E.g. https://localazy.com/. Source: about 2 years ago
  • free-for.dev
    Localazy.com - Free for 1000 source language strings, unlimited languages, unlimited contributors, startup and open source deals. - Source: dev.to / over 2 years ago
  • Strapi Localization made easy with Localazy Plugin
    Localazy is a next-gen localization platform enabling everyone to translate their project easily. And just like Strapi, Localazy can save developers a lot of time while giving them the freedom to use their favorite tools and frameworks. Localazy supports over 60 different integrations and is praised for its user-friendly interface and stellar customer support. You can learn more about the platform on the Localazy... - Source: dev.to / over 2 years ago
  • Top 10 Affiliate Programs for Digital Product Makers To Boost Your Online Income
    We know that overly promotional content does not work at all. So you can stay assured that our content will be focused on added value, not overselling anything to your visitors. Localazy will be mentioned as a resource of the information included in the article. Plus, the content will be republished with a canonical link to your domain from localazy.com - a domain with AHREFS DR 50 and growing. - Source: dev.to / almost 3 years ago
View more

What are some alternatives?

When comparing Scikit-learn and Localazy, 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.

POEditor - The translation and localization management platform that's easy to use *and* affordable!

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

Lokalise - Localization tool for software developers. Web-based collaborative multi-platform editor, API/CLI, numerous plugins, iOS and Android SDK.

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

DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.