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Scikit-learn VS Nintex

Compare Scikit-learn VS Nintex 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.

Nintex logo Nintex

Cloud-based digital workflow management automation platform
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Nintex Landing page
    Landing page //
    2023-06-21

Scikit-learn

Website
scikit-learn.org
Pricing URL
-
$ Details
Release Date
-
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Nintex

Website
nintex.com
Pricing URL
Official Nintex Pricing
$ Details
-
Release Date
2006 January
Startup details
Country
United States
State
Washington
City
Bellevue
Founder(s)
Brett Campbell
Employees
250 - 499
Edit details

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.

Nintex features and specs

  • Ease of Use
    Nintex provides a user-friendly interface with drag-and-drop functionality, making it easy for non-technical users to design and automate workflows.
  • Integrations
    Nintex integrates seamlessly with popular platforms like SharePoint, Office 365, and other enterprise applications, allowing for efficient data flow across systems.
  • Comprehensive Features
    Offers a wide range of features including workflow automation, document generation, process mapping, and robotic process automation, catering to various business needs.
  • Scalability
    Nintex is designed to scale with your business, supporting small teams to large enterprises without compromising performance.
  • Strong Community Support
    Has an active user community and extensive documentation, providing users with plenty of resources for troubleshooting and optimization.

Possible disadvantages of Nintex

  • Cost
    Nintex can be expensive, especially for small and medium-sized businesses. The costs can add up with the need for multiple licenses and additional features.
  • Complexity in Advanced Workflows
    While the drag-and-drop interface is easy for simple tasks, more complex workflows can become cumbersome and require advanced knowledge to implement effectively.
  • Performance Issues
    Users have reported performance issues when dealing with large volumes of data or when running multiple complex workflows simultaneously.
  • Customization Limitations
    There are limitations to customization and flexibility, particularly when compared to more code-centric automation tools.
  • Initial Learning Curve
    Despite its user-friendly interface, there is an initial learning curve associated with understanding all its features and best practices for implementation.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

Nintex videos

+ Add

Streamline Document Review & Approval Processes with Nintex for Office 365

More videos:

  • Review - Nintex Forms Overview
  • Review - Document Intake and Review w/ Box, Nintex and Workshare
  • Review - Contract creation, review, approval and signature with Box, Salesforce, Nintex and Docusign

Category Popularity

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

Scikit-learn

Nintex

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
Workflow Automation
0 0%
Workflow Automation
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 Nintex

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

Nintex Reviews

Top 5 Microsoft Power Automate alternatives for 2024
“Nintex generates papers, forms, and maps, among other elements that allow for seamless communication and workflow between departments and teams by synchronizing and conducting activities in cooperation on a single platform,” Tilley explains.
Source: www.jotform.com
7 Best Business Process Management Tools (2023)
Any business process that requires approvals, particularly if those approvals change, is well suited to manage using the Nintex Platform. Nintex also includes a robotic process automation tool that enables the intelligent automation of manual operations utilizing any software that is available from a user’s workstation.
Source: theecmconsultant.com
11 Business Process Management (BPM) Software for SMBs
Nintex will help eliminate the manual and repetitive work with automated workflows and capture information faster in the proper manner. It can monitor the processes to identify and quickly address the issues and point the process improvements by using data visualization.
Source: geekflare.com
5 PowerApps Alternatives
Nintex is a solution from the Business Process Management paradigm. It allows users to achieve much of what they would do through PowerApps. and also go much beyond. Beyond building custom application interfaces, applying complex business logic, Nintex even allows users to write their own Boolean logic.
Source: www.hyperoffice.com
Top 15 Workflow Management Software Solutions
What makes Nintex a top workflow management software solution? To start, it enables you to easily streamline processes, integrate content, and empower employees wherever they are located. The app sports a people-driven design and offers people-friendly participation to improve processes – both simple everyday ones to complex elaborate procedures. The best part is you can...
Source: financesonline.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. 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 / 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

Nintex mentions (0)

We have not tracked any mentions of Nintex yet. Tracking of Nintex recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit-learn and Nintex, 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.

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.

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

Pipefy - Pipefy is a process management software that empowers anyone to create and automate efficient workflows on their own without code.

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

Process Street - Create beautiful rich process documents in a simple to follow checklist format. Fast, free and incredibly simple to use.

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