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Scikit-learn VS SignNow

Compare Scikit-learn VS SignNow 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.

SignNow logo SignNow

Electronic signature that scales with your workflow
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • SignNow Landing page
    Landing page //
    2021-10-02

signNow is an electronic signature that enables business to be conducted anywhere, anytime and on any device. signNow offers the best ROI for SBM and mid-market thanks to its intuitive UI, transparent pricing, flexible configuration and the ease of API integrations.

Scikit-learn

Website
scikit-learn.org
Pricing URL
-
$ Details
Platforms
-
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SignNow

Website
signnow.com
Pricing URL
Official SignNow Pricing
$ Details
paid Free Trial $8.0 / Monthly (per user)
Platforms
Web Android iOS Google Chrome Cloud REST API AWS
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.

SignNow features and specs

  • Bulk Mail
  • eSigning
  • FILLABLE FORMS
  • Audit Trail
  • GDPR Compliant
  • HIPAA Compliant
  • In-person signing
  • Live Chat Support
  • Automated workflow
  • Reminders and Expirations
  • Personalised Workspace

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.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

SignNow videos

+ Add

Welcome to signNow

More videos:

  • Demo - Getting started
  • Demo - signNow for Sales Teams
  • Tutorial - signNow for Fin Services
  • Demo - Sales process with signNow

Category Popularity

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

Scikit-learn

SignNow

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
eSignature
0 0%
eSignature
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Document Management
0 0%
Document 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 SignNow

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

SignNow Reviews

Top 20 PandaDoc Alternatives and Competitors in 2024
SignNow helps businesses send and sign documents easily and affordably. It makes signing documents simple on any device and lets your team track the signing process in real time with notifications.
Source: oneflow.com
jSign vs signNow Comparison
jSign and signNow have vastly different pricing structures. First and foremost, jSign’s higher tier plans are cheaper than signNow’s. In contrast, jSign offers no refunds, whereas signNow has a 30-day money-back guarantee. At the same time, jSign can be tried out for free for 14 days or 30 days exclusively for Best Reviews readers, while signNow’s free trial lasts only seven...
Source: bestreviews.net

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than SignNow. 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 / about 1 year 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 / about 2 years ago
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SignNow mentions (7)

  • Services like Docusign?
    If you need just that, then definitely signnow (signnow.com). Source: almost 2 years ago
  • E-Signature Software Recommendations
    Signnow.com might work but they are not a document editor, strictly speaking (BUT amazing good for placing fillable fields! sic!). Source: about 2 years ago
  • Is this a scam? I do get changed set shifts for my job, but the emails don't usually look like this and none of my employers have this name.
    It's just that Brendan guy (someone from your work, I guess?) is using signnow.com as their e-signature and doc preparation solution (just check the domain/site manually, it is completely safe). Source: about 2 years ago
  • Which tool do you use for document generation for the end-user
    If you only need to add several fillable fields and that's it -- I'd go either with signnow.com or with pdffiller.com (they look different but this is the same, US-based vendor). Source: over 2 years ago
  • How to create a PDF with a cell row that can be typed information and saved?
    If you need people's signatures on those forms, I'd say signnow.com (they also have an integration with pdffiller because of the same vendor, and it's pretty neat!). Source: over 2 years ago
View more

What are some alternatives?

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

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

DocuSign - Try DocuSign's interactive signing demo now! Send yourself an electronic document to digitally sign using our e-signature service.

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

PandaDoc - Boost your revenue with PandaDoc. A document automation tool that delivers higher close rates and shorter sales cycles. We've helped over 30,000+ companies.

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

Dropbox Sign - eSignatures Simplified. The Most Powerful Platform for Your Business Agreements.

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