Software Alternatives, Accelerators & Startups

Scikit-learn VS Grammarly

Compare Scikit-learn VS Grammarly 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.

Grammarly logo Grammarly

Clear, effective, mistake-free writing everywhere you type.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Grammarly Landing page
    Landing page //
    2023-10-11

Grammarly

$ Details
freemium $12.0 / Monthly (Premium)
Release Date
2009 January
Startup details
Country
United States
State
California
Founder(s)
Alex Shevchenko
Employees
500 - 999

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.

Grammarly features and specs

  • Ease of Use
    Grammarly is designed with a user-friendly interface that makes it easy for users to check their writing quickly. Its real-time suggestions and simple navigation facilitate hassle-free proofreading.
  • Comprehensive Grammar and Spelling Checks
    Grammarly provides extensive grammar and spelling checks, identifying even subtle errors that are often missed by standard word processors.
  • Writing Style Improvement
    The tool offers suggestions to improve readability, tone, and overall writing style, which is beneficial for both casual writers and professionals.
  • Plagiarism Detection
    Grammarly's premium version includes a plagiarism checker that scans text against billions of web pages, providing an extra layer of proofreading for academic and professional work.
  • Customization
    The tool allows users to set their writing preferences, such as choosing American or British English, and to customize the rules based on their needs.
  • Cross-Platform Availability
    Grammarly can be accessed via browser extensions, desktop apps, and mobile apps, making it versatile for different use cases and devices.

Possible disadvantages of Grammarly

  • Costly Premium Subscription
    While the basic version is free, the premium subscription can be expensive for some users, limiting access to advanced features.
  • Overreliance Risk
    Users may become overly reliant on Grammarly, which can hinder their development of personal proofreading and editing skills.
  • Potential Privacy Concerns
    Since Grammarly processes and stores user data, there may be potential privacy concerns regarding the handling of personal and sensitive information.
  • Inconsistent Accuracy
    Although advanced, Grammarly is not flawless and may occasionally provide incorrect suggestions or fail to catch certain errors.
  • Limited Context Understanding
    Grammarly sometimes struggles with understanding contextual nuances, leading to inappropriate grammar or style suggestions.
  • Requires Internet Connection
    The tool requires a continuous internet connection to function, which can be a limitation for users with unreliable or no internet access.

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 Grammarly

Overall verdict

  • Overall, Grammarly is considered a valuable tool for anyone looking to enhance their writing quality. Its comprehensive feedback and user-friendly interface make it a worthwhile investment for individuals who frequently engage in writing-related tasks. However, the premium version offers more advanced features beyond the free version, such as vocabulary enhancement suggestions and a plagiarism detector.

Why this product is good

  • Grammarly is a popular writing assistant tool that helps users improve their writing skills by offering real-time grammar, spelling, and style suggestions. It uses advanced algorithms to provide detailed feedback on sentence structure, tone, and clarity, making it useful for various types of writing, from academic papers to casual blog posts. Grammarly also integrates seamlessly with multiple platforms and browsers, enhancing its accessibility and utility for users across different devices.

Recommended for

  • Students looking to improve their academic writing and reduce errors.
  • Professionals who need to maintain clear and polished communication.
  • Content creators and bloggers aiming to produce high-quality, error-free content.
  • Non-native English speakers seeking assistance with language nuances.

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Grammarly videos

Grammarly Review: Is it worth it, and what you NEED to know!

More videos:

  • Review - Grammarly Review 2019: Grammarly Pros and Cons and if You Should Use it
  • Review - Grammarly 2020 | Review, Features & Pricing

Category Popularity

0-100% (relative to Scikit-learn and Grammarly)
Data Science And Machine Learning
Grammar Checker
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Writing 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 Scikit-learn and Grammarly

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...

Grammarly Reviews

  1. Michael Hasty
    · Writer at DRS ·

    Grammarly is a fantastic tool that helps users step up their writing game by providing real-time grammar, spelling, and punctuation corrections. It is designed to help you create polished, professional content and ensure your message is clear and concise. Whether you're a student, professional, or just someone who wants to improve their writing skills, Grammarly has got your back.

    🏁 Competitors: ProWritingAid
    👍 Pros:    Easy to use|Thorough grammar check|Style and tone suggestions|Plagiarism detector
    👎 Cons:    Limited free version|Occasionally misses errors
  2. Eleanor Bennett
    · Digital Marketing Specialist at Logit.io ·
    Love the Google Docs plugin

    Grammarly is the most useful to me for its Google Docs feature that supports me as I create new content. Unfortunately, they seem to provide more context and insights when I am sending an email rather than writing an entire document.

  3. Libby O'Neill
    · Writer at DRS ·
    I love this tool because it helps me to understand what's wrong with my writing

    I would highly recommend Grammarly for proofreading. It does a great job of catching a lot of grammar mistakes that other programs miss. You will need to be able to train it to recognise your specific writing style, but once you do it will do a better job than any human proofreader. Grammarly's ability to detect and correct grammar errors and usage issues across multiple documents is really quite impressive. I am currently using it to check over articles before submitting them to various platforms. As a copywriter and writer, it has been a godsend.

    🏁 Competitors: ProWritingAid
    👍 Pros:    Ai|Easy to use|Word add-on
    👎 Cons:    Expensive

Best AI Paraphraser for Non-Native English Speakers: Grammarly, QuillBot, Paraphrasing Tool, Paraphraser.io, Wordtune, Engram (2023)
Grammarly is well known for its proofreader, but did you know that Grammarly also has a paraphraser? Although not as well known as its proofreader, Grammarly does have a paraphrasing feature, so let's check it out!
Source: blog.engram.us
Best AI Proofreader for Non-Native English Speakers: Grammarly, QuillBot, Engram, ProWritingAid, Ginger, Trinka [Updated 2023]
The free version is highly limited; advanced suggestions for sentence structure and vocabulary enhancement plus access to the full online editor with more detailed explanations and suggestions are only available with Grammarly Premium. The feedback can be overwhelming at times, and it may miss context-specific errors in complex writing.
Source: blog.engram.us
AI Proofreaders: What They Are & What The Top Tools Are
Grammarly is one of the most popular writing tools right now, and that is for a reason. It is an exceptional proofreading tool. Grammarly scans what you write in the editor in real time. Then, it quickly makes suggestions. With that, this AI proofreader improves grammar, spelling, and punctuation use.
6 Copyscape Alternatives for Checking Plagiarism
Grammarly is an online proofreading plugin that helps content creators and bloggers check the readability of what they have written. The free version has a grammar checker, while more tools are available with their premium version.
Source: www.quetext.com
6 Best AI Grammar Checkers to Correct Mistakes in 2021
Grammarly Business – Grammarly Business is an upgraded version of Grammarly. It is equipped with more features that allow you to create style guides and handily collaborate with your teammates. The pricing starts at $12.50 per user per month.
Source: victorytale.com

Social recommendations and mentions

Based on our record, Grammarly should be more popular than Scikit-learn. It has been mentiond 85 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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Grammarly mentions (85)

  • The Best 100 Free UI/UX Resources for Every Designer & Developer
    Grammarly Grammarly.com Free writing assistant to enhance clarity and grammar in UI text. - Source: dev.to / 3 months ago
  • Are these changes really necessary?
    Use Grammarly, the app or the extension. Source: almost 2 years ago
  • 🧰 AI Tools +150 Tools in 6 Categories
    Grammarly - An online writing tool that helps users improve their writing skills and beat writer’s block. I use it everyday…. Source: almost 2 years ago
  • What drives the registration price of domain extensions?
    I asked the question. Response text generated by ChatGPT and corrected by Grammarly.com. Source: almost 2 years ago
  • Prestige-Blinded Questbridge Asian With Barebones Application Learns to Dispel His Myopia (but somehow lucks out)
    I did not have anyone read over my essays. I regret that now, knowing that my application would have cried out for joy if only there were a reader other than grammarly.com and my drowsy midnight self. I also wrote my essay a day before the Questbridge deadline (I think the deadline was Sept 27th?), which is a terrible, TERRIBLE idea. Please do not do things last minute :D. Source: about 2 years ago
View more

What are some alternatives?

When comparing Scikit-learn and Grammarly, 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.

LanguageTool - Free proofreading tool for OpenOffice, LibreOffice, Firefox, and Chrome.

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

QuillBot - Quillbot is a free paraphrasing tool that will rewrite any sentence or paraphraph you give it. The article rewriter can rewrite essays or articles and is excellent as a grammar and fluency corrector.

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

ProWritingAid - For the smarter writer. A grammar checker, style editor, and writing mentor in one package.