Software Alternatives, Accelerators & Startups

Hubstaff VS Matplotlib

Compare Hubstaff VS Matplotlib and see what are their differences

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Hubstaff logo Hubstaff

Integrated time tracking, productivity metrics, and payroll for your distributed team.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • 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.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

Hubstaff

$ 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

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.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

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.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Hubstaff videos

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

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Hubstaff and Matplotlib)
Time Tracking
100 100%
0% 0
Data Science And Machine Learning
Project Management
100 100%
0% 0
Technical Computing
0 0%
100% 100

Questions & Answers

As answered by people managing Hubstaff and Matplotlib.

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

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Reviews

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

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.
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...

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Hubstaff. While we know about 114 links to Matplotlib, 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.

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

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Hubstaff and Matplotlib, you can also consider the following products

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

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

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.

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

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

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.