Software Alternatives, Accelerators & Startups
Register | Login

NumPy VS Hubstaff

Compare NumPy VS Hubstaff and see what are their differences

Monitask
Employee Monitoring Software with Screenshots, Internet, Activity and Time Tracking featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Hubstaff logo Hubstaff

Integrated time tracking, productivity metrics, and payroll for your distributed team.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Hubstaff Time tracking software for the global workforce
    Time tracking software for the global workforce //
    2025-06-27
  • Hubstaff Employee time tracking software
    Employee time tracking software //
    2025-06-27
  • Hubstaff Employee scheduling
    Employee scheduling //
    2025-06-27
  • Hubstaff Automated payroll
    Automated payroll //
    2025-06-27
  • Hubstaff Productivity Insights
    Productivity Insights //
    2025-06-27

Hubstaff is a cutting-edge time tracking software solution designed to enhance productivity across remote, hybrid, and in-house teams while ensuring a positive employee experience.

Hubstaff integrates with over 30 apps so your business can run more efficiently. You can see how work happens with features like time tracking, screenshots, activity tracking, URL and app tracking, workforce analytics metrics, automatic payroll and invoicing, scheduling, GPS and location monitoring, and timesheets. It is available for Mac, Windows, Linux, Chrome, iOS, and Android.

Our mission is to help everyone have their most productive day at work. This commitment means prioritizing peak performance without compromising a fulfilling work environment.

NumPy

Website
numpy.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Hubstaff

Website
hubstaff.com
Pricing URL
Official Hubstaff Pricing
$ Details
paid Free Trial $7.0 / Monthly
Platforms
Mac OSX Windows Google Chrome iOS Android
Release Date
2013 January
Startup details
Country
United States
Employees
100 - 249
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.

Hubstaff features and specs

  • Time Tracking
  • Activity Monitoring
  • Screenshots
  • Timesheet Approvals
  • Project Budgeting
  • Payments
  • Invoicing
  • Time Off Requests
  • Reporting
  • Expense Tracking
  • GPS Tracking
  • Geofencing
  • Integrations
  • User-Friendly Interface
  • Agile Project Management
  • Integration with Hubstaff
  • Customization Options
    Users can customize project layouts and workflows to suit their needs, providing flexibility in how projects and tasks are organized and managed.
  • Collaboration Features
    The platform offers strong collaboration tools, including task comments and file attachments, making it easier for teams to communicate and share resources.

Possible disadvantages of Hubstaff

  • Limited Features for Advanced Project Management
    While effective for small to medium-sized teams, it may lack some advanced features required by larger organizations with more complex project management needs.
  • Pricing Concerns
    Some users may find the pricing model less competitive compared to other tools with similar features, especially if they require extensive user licenses.
  • Learning Curve for New Users
    Despite its user-friendly interface, there can still be a learning curve for new users who are not familiar with Agile methodologies or task management software.
  • Dependency on Internet Connection
    As a cloud-based application, Hubstaff Tasks requires a stable internet connection for access, which may be a limitation for teams in areas with unreliable connectivity.
  • Limited Offline Functionality
    The platform has restricted offline capabilities, which may hinder productivity for users who need to work without an internet connection.

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 Hubstaff

Overall verdict

  • Hubstaff is considered a good tool for both small businesses and large enterprises seeking effective time management and employee monitoring solutions. Its robust feature set and ease of use make it a valuable asset for improving productivity and accountability.

Why this product is good

  • Hubstaff is known for its comprehensive time-tracking features, employee monitoring, and project management tools. It offers productivity tracking, GPS location tracking, and detailed reporting, making it suitable for remote teams and freelancers who need to monitor time and task efficiency. The integration capabilities with various project management and accounting tools enhance its utility in diverse workflows.

Recommended for

    Hubstaff is recommended for remote teams, freelancers, and businesses that require detailed time-tracking, team activity monitoring, and integration with other productivity tools. It is particularly beneficial for companies with field teams, as it offers GPS tracking and mobile support.

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

Hubstaff videos

+ Add

Boost Productivity With Insights From Hubstaff

More videos:

  • Demo - Hubstaff Time tracking Software for Productive Teams
  • Review - Hubstaff Review: Pros and Cons of Hubstaff
  • Review - Hubstaff Review - Best Time Tracking Software & App (2024)
  • Review - Hubstaff Review: Pretty simple payroll and time tracking solution for a small business

Category Popularity

0-100% (relative to NumPy and Hubstaff)

NumPy

Hubstaff

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 Monitoring
0 0%
Employee Monitoring
100% 100

Questions & Answers

As answered by people managing NumPy and Hubstaff.

What makes your product unique?

Hubstaff's answer:

Hubstaff combines time tracking, productivity monitoring, and team management into one streamlined platformโ€”built for remote and hybrid workforces. It offers real-time visibility, automation, and actionable insights without micromanaging.

Why should a person choose your product over its competitors?

Hubstaff's answer:

Hubstaff stands out with its robust features like GPS tracking, customizable productivity metrics, and seamless integrationsโ€”designed to help teams stay efficient and transparent, no matter where they work.

How would you describe the primary audience of your product?

Hubstaff's answer:

Hubstaff is designed for business owners, managers, and team leadersโ€”especially those in remote-first industries like staffing, software development, marketing, and e-commerceโ€”who need clarity on how time is spent and how performance connects to outcomes.

What's the story behind your product?

Hubstaff's answer:

Founded in 2012 by two remote-work enthusiasts, Hubstaff was built out of a need for better visibility into remote team productivity. Today, it's trusted by thousands of businesses across the globe to manage time, projects, and performance.

Which are the primary technologies used for building your product?

Hubstaff's answer:

Hubstaff is built using modern web technologies such as React, Node.js, and PostgreSQL, with native apps for Windows, Mac, Linux, Android, and iOS to ensure consistent cross-platform performance.

Who are some of the biggest customers of your product?

Hubstaff's answer:

Some of our notable customers include Groupon, Ring, Instacart, Hard Rock Cafe, and OpenAI.

User comments

Share your experience with using NumPy and Hubstaff. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Hubstaff Reviews

10 Best RescueTime Alternatives for Time Tracking in 2024
Hubstaff is a workforce management platform that helps organizations automate their workday. With the built-in employee time-tracking app, executive teams can keep tabs on payroll hours for remote, hybrid, or in-office workers. Plus, logged hours are added directly to invoices, cutting down on the time spent on employee payroll or client invoicing.
Source: clickup.com
10 Top RescueTime Alternatives for 2024 [Detailed Overview]
With Hubstaff, you can manage time off, track attendance and overtime, and schedule employee work. These workforce management features and Hubstaffโ€™s payment capabilities simplify and speed up payroll.
Source: toggl.com
20 Employee Monitoring Software [2022 Updated List]
Hubstaff โ€“ This app monitors productivity while managing timesheets, billing, and payroll.
Source: traqq.com
Best Freelancer.com Alternatives For Hiring Developers
However, you conduct the vetting and hiring process outside the platform. After finding a suitable developer, you get in touch with them and discuss the necessary terms before working with them. However, Hubstaff has pre-vetted the freelancers on its platform. Thus, you can rest assured that they are of good quality.
Source: www.ideamotive.co
Hubstaff vs Workstatus Vs Workpuls Vs Timedoctor- The Ultimate Faceoff
Hubstaff is a flexible employee time tracking app that can be used in many different industries, devices, and employee setup. You donโ€™t need to worry about compatibility with your employeesโ€™ devices as Hubstaff supports Windows, macOS, Chrome, Android. It also comes at no cost if youโ€™re looking for a free trial or money-back guarantee โ€“ thereโ€™s something perfect for everyone...
Source: www.workstatus.io

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Hubstaff. While we know about 122 links to NumPy, we've tracked only 7 mentions of Hubstaff. 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 (122)

View more

Hubstaff mentions (7)

  • Ask HN: Who still works async and has a 'no meetings' work policy in 2026?
    I am not working for them, but I heard about https://hubstaff.com that they have almost no meetings. Maybe someone who is working for them can confirm or add more details about it. - Source: Hacker News / 4 months ago
  • How do I keep good records of the work performed by me when working for my own business as either the business owner or an employee of the business? And some other related questions
    3.The only way I've come across to document the amount of time spent is to use timesheets or time tracking softwares. Some examples of time tracking softwares are Toggl, Hubstaff, and Time Doctor. Would time tracking softwares be more believable given that some independent tool is being used to track my tasks? Source: about 3 years ago
  • Dear Project Managers, Stop Micromanagement Now!
    I remember one particular instance where I was working on a project, and my project manager started to take screenshots of my laptop's screen to check on my progress, using apps like Hubstaff. Every few minutes, like 10 minutes or so, she took screenshots to monitor what I was doing and how I was doing it. - Source: dev.to / almost 4 years ago
  • Top 10 productivity tools for freelancers
    Hubstaff Hubstaff is a valuable time tracking system and it's an especially useful tool for freelancers and remote employees. Hubstaff provides proof of work in the form of activity levels, app and URL tracking, and the option to take screenshots taken periodically. - Source: dev.to / over 4 years ago
  • 5 Best Recruitment Softwares for Small Businesses in 2022
    Staffing solutions that integrate with apps like Recruitzi, Hubstaff, or TimeDoctor allow you to seamlessly track employee performance so you can schedule them more effectively while keeping costs low by cutting down on mistakes. Source: over 4 years ago
View more

What are some alternatives?

When comparing NumPy and Hubstaff, 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.

Time Doctor - Time Tracking and Time Management Software that is accurate and helps you to get a lot more done each day.

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

Toggl - Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.

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

Harvest - Simple time tracking, fast online invoicing, and powerful reporting software. Simplify employee timesheets and billing. Get started for free.

Loading...