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Scikit-learn VS Quip

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

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Contents:
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  3. » Reviews
  4. » Alternatives

Scikit-learn logo Scikit-learn

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

Quip logo Quip

Quip is the modern productivity suite that simplifies your life and helps your team get work done faster.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Quip Landing page
    Landing page //
    2023-04-15

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.

Quip features and specs

  • Collaboration
    Quip allows multiple users to collaborate on documents in real-time, making it easy for teams to work together.
  • Integrations
    Seamlessly integrates with other productivity tools like Salesforce, Slack, and Dropbox, enhancing its utility within different workflows.
  • Mobile Accessibility
    Quip offers robust mobile applications for both iOS and Android, enabling users to work from anywhere.
  • Document Version Control
    Keeps track of document versions and changes, allowing users to revert to previous versions if necessary.
  • Ease of Use
    The user interface is intuitive and user-friendly, making it easy to navigate and learn quickly.
  • Offline Access
    Quip provides offline access to documents, which can be essential for users without a stable internet connection.

Possible disadvantages of Quip

  • Limited Spreadsheet Features
    The spreadsheet capabilities in Quip are not as advanced as those found in dedicated spreadsheet software like Microsoft Excel or Google Sheets.
  • Cost
    Quip is not free and may be considered expensive by small businesses or individual users when compared to free alternatives.
  • Storage Limits
    There are storage limitations based on the subscription plan, which may not be sufficient for larger teams or enterprises.
  • Learning Curve for Advanced Features
    While basic functionalities are easy to use, mastering more advanced features can require a steeper learning curve.
  • Limited Customization
    Quip offers limited customization options compared to other tools, which can be restrictive for users with specific needs.
  • Notifications
    Users have reported that the notification system can be overwhelming, particularly in busy documents with many collaborators.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

Quip videos

+ Add

QUIP Toothbrush UNBOXING and REVIEW by an unbiased dentist

More videos:

  • Review - Quip Toothbrush Review - Much Improved
  • Review - Quip Toothbrush Review | Pros & Cons

Category Popularity

0-100% (relative to Scikit-learn and Quip)

Scikit-learn

Quip

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Project Management
0 0%
Project Management
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Task Management
0 0%
Task Management
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 Quip

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...
Source: searchbusinessanalytics.techtarget.com

Quip Reviews

Top 10 Notion Alternatives for 2025 and Why Teams Are Choosing Ledger
Quip combines documents, spreadsheets, and checklists with built-in chat. While it’s clean and functional, it’s not designed to manage projects or organize larger initiatives across teams.
Source: www.ledgerteams.com
Best 25 Software Documentation Tools 2023
Quip is a collaborative productivity platform and documentation tool that combines documents, spreadsheets, chat and tasks list in a single platform, designed for teams to collaborate on documentation in real-time.
Source: www.uphint.com
The 11 Best Slite Alternatives in 2022- Free Tools Included!
“Quip, compared to google docs or word, is very advanced in terms of the structuring you can do, insertion of tables, links, and attachments. Sharing is also easy, and comments can also be added at every line to discuss the document in detail with anyone in your team. Quip is also used in daily huddles to review tasks, assign tasks and take follow-ups. You can also assign a...
Source: remoteverse.com
Best Evernote Alternatives in 2021 for Serious Note Takers
Owned by Salesforce, Quip brings all your notes, docs, and team members into one place where you can collaborate and chat with ease. A unique feature of Quip is its chat feature, which is built into every document. Quick to set up and easy to use, Quip makes it easy to get started with creating and maintaining living documents.
Source: blog.appsumo.com
Top 15 Best Evernote Alternatives You Can Use
The collaboration features on Quip are second to none. You can share documents with team members, add comments, send inline replies, check document history, and more. If you are looking for an Evernote alternative for your team, you should give Quip a chance.
Source: beebom.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Quip. While we know about 31 links to Scikit-learn, we've tracked only 3 mentions of Quip. 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 / 3 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 / 5 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 / 11 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 / about 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
View more

Quip mentions (3)

  • Awesome-no-code-tools
    Quip - One place for all your team's work. - Source: dev.to / 10 months ago
  • Way to Have Complex Discussions
    How is this tool different from https://quip.com/? I don't see any features that set it aside except "Conclude" button. - Source: Hacker News / about 1 year ago
  • Ask HN: What software do you use to gather requirements?
    What a lot of teams in my company do is have a less formal part (more like brainstorming) done with Quip (https://quip.com/) before having the more formal part in Amazon WorkDocs (https://aws.amazon.com/workdocs/... Disclaimer, I work for Amazon). Workdocs is a pretty good tool for versioning, commenting on and sharing Word documents, but it's not great for multiple people working on a document at the same time.... - Source: Hacker News / almost 4 years ago

What are some alternatives?

When comparing Scikit-learn and Quip, 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.

Google Docs - Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.

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

Slack - A messaging app for teams who see through the Earth!

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

Adobe Acrobat DC - Make your job easier with Adobe Acrobat DC, the trusted PDF creator. Use Acrobat to convert, edit and sign PDF files at your desk or on the go.

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