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Scikit-learn VS Smartsheet

Compare Scikit-learn VS Smartsheet 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.

Smartsheet logo Smartsheet

Smartsheet is an intuitive online project management tool enabling teams to increase productivity using cloud, collaboration, & mobile technologies.
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  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Smartsheet Landing page
    Landing page //
    2023-03-29

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.

Smartsheet features and specs

  • User-Friendly Interface
    Smartsheet offers an intuitive interface that is easy to navigate, making it accessible for users of all skill levels.
  • Collaboration Features
    The platform supports real-time collaboration with features such as shared sheets, comments, and automated update requests.
  • Versatility
    Smartsheet can be used for a variety of purposes, including project management, task tracking, and process automation.
  • Integration Capabilities
    Smartsheet integrates with numerous other software applications like Google Workspace, Microsoft Office 365, and Jira, enhancing its utility.
  • Automation Options
    The software offers robust automation features to reduce manual work, such as automated workflows, reminders, and status updates.
  • Reporting and Analytics
    Users can create detailed reports and dashboards to gain insights into their projects and workflows.

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 Smartsheet

Overall verdict

  • Overall, Smartsheet is considered a highly effective tool for managing projects and workflows, particularly for teams that require a strong collaborative element and are looking for a flexible and scalable solution. Its ease of use and powerful features make it a recommended choice for businesses and organizations of various sizes.

Why this product is good

  • Smartsheet is a robust project management and collaboration tool that is designed to help teams manage their tasks, projects, and workflows effectively. It offers features such as Gantt charts, dashboards, automated workflows, and real-time collaboration, making it a versatile solution for organizations that need to coordinate complex operations. It's particularly appreciated for its intuitive spreadsheet-like interface, which makes it accessible to users familiar with Excel or similar tools. Additionally, Smartsheet integrates well with a variety of other software, offering a flexible solution that can fit into existing workflows.

Recommended for

  • Teams that need a collaborative tool for managing projects and tasks.
  • Organizations looking for a flexible project management solution with robust automation features.
  • Businesses that require integration with other software and tools they are already using.
  • Users who prefer a spreadsheet-like interface for managing projects and data.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

Smartsheet videos

+ Add

Project Tools Review: Microsoft Project vs. Smartsheet

More videos:

  • Review - Smartsheet Project Management Overview
  • Review - Introduction to Smartsheet
  • Review - Smartsheet Review: Key Features, Pros, And Cons
  • Review - Smartsheet review 2021
  • Review - Introduction to Smartsheet
  • Review - Smartsheet Review - 4 Reasons Why You Shouldnt Use Smarthsheet -Walktrough, Top Features, Pros & Con
  • Review - Introduction to Smartsheet

Category Popularity

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

Scikit-learn

Smartsheet

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 Smartsheet

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

Smartsheet Reviews

20 Best Capacity Planning Software Tools
Tempus Resource distinguishes itself through extensive integration capabilities with popular project management tools. The platform connects seamlessly with solutions like Microsoft Project, Jira, and Smartsheet, creating a unified resource management ecosystem.
Source: www.supervisible.com
25 Best Asana Alternatives & Competitors for Project Management in 2024
Smartsheet is a project management tool that lets you manage, track, and plan multiple projects. The key feature of Smartsheet is the Control Center—a portfolio and project management solution. Project managers can save time on manual work with the Control Center’s automation capabilities.
Source: clickup.com
The 10 best Asana alternatives in 2024
Smartsheet is great for enterprise teams that want the versatility of Excel or Google Sheets alongside additional collaboration, visualization, and automation features. But that mix comes with a steep learning curve and a less aesthetically pleasing interface than other popular project management tools. While you can start using Asana without much frustration right away,...
Source: zapier.com
10+1 Best Workflow Management Software 2024 For Maximum Efficiency
Smartsheet offers a host of features such as project management, automation, and integrations. However, its interface might be a little more complex for new users. It provides integration with popular apps like Microsoft 365 and G Suite and supports automation functions.
Source: www.manifest.ly
16 Best Asana Alternatives of 2024 (Free + Paid)
This Asana alternative’s strength is also its weakness, which is spreadsheets. Project management software was developed as a response to the limitations of spreadsheets. Smartsheet is maybe too smart in that it’s complicated and difficult to use. That steep learning curve can be overcome with much time and effort, but having to buy add-ons to do important tasks such as time...
Source: www.projectmanager.com

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Smartsheet. It has been mentiond 35 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 (35)

  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 14 days ago
  • What is the Most Effective AI Tool for App Development Today?
    For apps demanding robust machine learning capabilities, frameworks like TensorFlow provide the scalability and flexibility needed to handle large-scale data and models. These tools are essential for developers building features like recommendation engines or predictive analytics. - Source: dev.to / about 2 months ago
  • Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers
    Machine learning (ML) teaches computers to learn from data, like predicting user clicks. Start with simple models like regression (predicting numbers) and clustering (grouping data). Deep learning uses neural networks for complex tasks, like image recognition in a Vue.js gallery. Tools like Scikit-learn and PyTorch make it easier. - Source: dev.to / about 2 months ago
  • Predicting Tomorrow's Tremors: A Machine Learning Approach to Earthquake Nowcasting in California
    Scikit-learn Documentation: https://scikit-learn.org/. - Source: dev.to / 3 months ago
  • 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 / 8 months ago
View more

Smartsheet mentions (5)

  • Feature id like to see
    It can probably be mimicked with SmartSheet project management software. A free account would be sufficient for this. Source: over 2 years ago
  • What are the everyday tools that you use in operating your small business?
    Smartsheet is a cloud-based spreadsheet tool that I use for client management, CRM tracking, and accounting. It has all of the features of Microsoft Excel, but it also allows you to share your sheets with others and work on them collaboratively. This is a great tool for small businesses because it allows you to keep track of all of your clients in one place, and you can access it from anywhere. Source: over 3 years ago
  • Rows.com: Spreadsheets on Steroids
    3. Business processes What Rows does falls mostly into the realm of small databases and business processes. And while each has their own approach, I'd say that most other "next-gen spreadsheets" are also focusing on these (big and important) use-cases. Airtable (https://airtable.com/), Spreadsheet.com (https://spreadsheet.com/) and Smartsheet (https://smartsheet.com/) all play mainly in this area. GRID is focusing... - Source: Hacker News / almost 4 years ago
  • What do front-end developers do?
    I want to make apps like monday.com and smartsheet.com. I do not want to build websites. Source: over 4 years ago
  • Entry Level job/Salary Expectation/Skill needed for programming?
    Right now my passion is building web-based applications (not websites) and mobile apps. Like I want to build something similar to monday.com or smartsheet.com. I don't wanna build something like TurboTax or Windows or macOS. Source: over 4 years ago

What are some alternatives?

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

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

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

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

Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.

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

Basecamp - A simple and elegant project management system.

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