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NumPy VS Deputy

Compare NumPy VS Deputy and see what are their differences

Insightful.io
The #1 monitoring employee software for clear insights into how your team works. Get real-time and historical data. Understand productivity at every level. featured
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Deputy logo Deputy

Deputy is a software for employee scheduling, time and attendance and communication management.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Deputy Landing page
    Landing page //
    2023-05-09

NumPy

Website
numpy.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

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

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.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Analysis of Deputy

Overall verdict

  • Yes, Deputy is generally considered a good tool for businesses seeking efficient workforce management solutions. It has received positive reviews for its ease of use, comprehensive features, and excellent customer support.

Why this product is good

  • Deputy is a widely used workforce management software that helps businesses streamline their scheduling, time tracking, and communication processes. It is praised for its user-friendly interface, robust feature set, and flexibility across various industries. The platform integrates with numerous payroll and accounting systems, enhancing its utility in business operations.

Recommended for

  • Small to medium-sized businesses that need robust scheduling solutions
  • Managers looking to optimize time tracking and shift management
  • Companies that require seamless integration with existing payroll and HR systems
  • Businesses aiming to improve communication and coordination among employees

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

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 NumPy and Deputy)

NumPy

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

Share your experience with using NumPy and Deputy. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Deputy

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.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, NumPy seems to be a lot more popular than Deputy. While we know about 119 links to NumPy, 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.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months 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 NumPy 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.

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

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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