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Scikit-learn VS Deputy

Compare Scikit-learn VS Deputy 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.

Deputy logo Deputy

Deputy is a software for employee scheduling, time and attendance and communication management.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Deputy Landing page
    Landing page //
    2023-05-09

Scikit-learn

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

Deputy

Website
deputy.com
Pricing URL
Official Deputy Pricing
$ Details
-
Release Date
2008 January
Startup details
Country
Australia
State
New South Wales
City
Surry Hills
Founder(s)
Ashik Ahmed
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.

Deputy features and specs

  • User-Friendly Interface
    Deputy's interface is designed to be intuitive, making it easy for managers and employees to use without extensive training.
  • Comprehensive Scheduling
    It offers robust scheduling features that allow managers to create, update, and share employee schedules effortlessly.
  • Time and Attendance Tracking
    The platform effectively tracks employee hours, reducing errors and ensuring accurate payroll processing.
  • Mobile Accessibility
    With a fully functional mobile app, employees and managers can access schedules, clock in/out, and communicate on the go.
  • Integration Capabilities
    Deputy integrates with a variety of payroll, point-of-sale (POS), and HR systems, streamlining administrative tasks.
  • Compliance Management
    The system helps ensure labor law compliance by monitoring work hours, breaks, and overtime.
  • Task Management
    Deputy provides task assignment and tracking features, enhancing organizational efficiency and accountability.

Possible disadvantages of Deputy

  • Cost
    For small businesses, the subscription costs may be a bit high, particularly for advanced features and large teams.
  • Learning Curve
    Although it is user friendly, some users may still face a learning curve, particularly when navigating more sophisticated features.
  • Limited Customization
    Some users may find the customization options restricted compared to other solutions with more flexible configuration settings.
  • Customer Support
    There have been reports of slow response times from customer support, which can be a hindrance during critical times.
  • Mobile App Reliability
    Some users have experienced occasional bugs and crashes with the mobile app, affecting its dependability.
  • Internet Dependence
    Since Deputy is a cloud-based solution, a stable internet connection is required for seamless operation, which can be problematic in areas with poor connectivity.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

Deputy videos

+ Add

Deputy Season 1 Episode 1 Review (Not good)

More videos:

  • Review - Dynamic Discs Deputy Review
  • Review - Crime Centric: Deputy Series Premiere Review

Category Popularity

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

Scikit-learn

Deputy

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Time Tracking
0 0%
Time Tracking
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Employee Scheduling
0 0%
Employee Scheduling
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 Deputy

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

Deputy Reviews

7 Top Security Guard Scheduling Software Solutions for 2025
Deputy is a popular choice in general workforce management, spanning retail, hospitality, healthcare, and beyond. Security businesses also turn to Deputy for standard scheduling, time/attendance, and compliance. However, it’s not specifically tailored for guard-based activities like patrol logs or licence checks.
Source: www.skeddule.com
The 9 Best Paid and Free WhenIWork Alternatives
Using Deputy, you can take advantage of their AI-driven scheduling tool that allows you to craft the perfect set of schedules within your business. Using Deputy’s scheduling AI functionality, you can reduce unnecessary wage costs by creating accurate labor demand forecasts for the future.
Source: everhour.com
21 Time Tracking Tools To Manage Your Workday
Deputy allows you to handle schedules, timesheets and communication all in one platform. It helps you and your team to stay organized and more engaged. You can post important documents, company policies, training videos or whatever you want on the news feed, and share that with the rest of your team. You can even introduce and onboard new team members – very helpful during...
Source: hive.com
20 Employee Monitoring Software [2022 Updated List]
Deputy – This tool is an integrated task, time, and schedule management app that helps managers streamline workflows.
Source: traqq.com
These Employee Management Software Are Foremost Choice For Work-Supervision
Very much simple to use and throws away the system of regular paperwork, Deputy can schedule the whole staff in a matter of a few minutes, helps in simplifying the timesheets and ultimately connects with the whole team. Any kind of business, be it hospitality, retail, healthcare or customer services, this is the best employee monitoring software for businesses. How?
Source: blogs.systweak.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Deputy. While we know about 31 links to Scikit-learn, we've tracked only 2 mentions of Deputy. 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 / 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

Deputy mentions (2)

  • Non profit Healthcare clinic looking for self hosted or cheap cloud alternative employee shift scheduling app?
    A quick search yielded https://wheniwork.com/l/employee-scheduling and https://deputy.com. Not self hosted but seem like they would fit your needs. The latter might cost but I guess you can reach out to them for non-profit discounts perhaps. Source: over 2 years ago
  • How to speak to employee who always leaves work for almost 2 hours at a time?
    Use deputy.com and switch to all breaks are unpaid. Clock off for any break longer than short toilet break. Source: over 3 years ago

What are some alternatives?

When comparing Scikit-learn and Deputy, 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.

When I Work - When I Work is an employee scheduling and communication app using the web, mobile apps, text messaging, social media, and email.

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

ResourceGuru - The fast, simple way to schedule people, equipment, and other resources online.

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

Float - The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.

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