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Gusto VS Matplotlib

Compare Gusto VS Matplotlib and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Gusto logo Gusto

Gusto. Payroll, benefits and compliance in one integrated product. We're here to change how the world works, and put people first.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Gusto Landing page
    Landing page //
    2023-05-24
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Gusto features and specs

  • User-Friendly Interface
    Gusto offers an intuitive and easy-to-use interface which simplifies payroll processing and HR management for businesses of all sizes.
  • Comprehensive HR Tools
    The platform provides a wide range of HR tools, including benefits administration, time tracking, and compliance assistance, helping businesses manage their workforce effectively.
  • Automated Payroll Processing
    With Gusto, payroll processing is automated, reducing the likelihood of errors and saving time for HR departments.
  • Employee Self-Service
    Employees can access their payslips, tax documents, and benefits information directly through Gusto, improving transparency and reducing administrative burden.
  • Customer Support
    Gusto is known for its responsive and knowledgeable customer support, which can assist users with any issues or questions they may have.

Possible disadvantages of Gusto

  • Cost
    Gusto's pricing can be relatively high, especially for small businesses or startups with limited budgets.
  • Limited Integration Options
    While Gusto integrates with several popular apps and software, it may not support all the tools a business uses, potentially complicating workflow processes.
  • Lack of Customization
    Some users may find Gusto's features to be less customizable compared to other HR software solutions, limiting the ability to tailor the platform to specific needs.
  • Learning Curve
    Despite its user-friendly design, some users may experience a learning curve when initially adopting the platform, particularly if they are transitioning from a different system.
  • Dependency on Internet
    As a cloud-based solution, Gusto requires a reliable internet connection for access, which can be a limitation in areas with poor connectivity.

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 Gusto

Overall verdict

  • Gusto is widely regarded as a good option for small to medium-sized businesses seeking payroll and human resources solutions.

Why this product is good

  • Gusto offers an intuitive platform that simplifies payroll processing, benefits administration, and HR tasks. Users often praise its user-friendly interface, comprehensive features, and excellent customer service. It automates many time-consuming processes, making it easier for businesses to manage their workforce and comply with regulations.

Recommended for

  • Small to medium-sized businesses
  • Companies seeking easy-to-use payroll solutions
  • Organizations in need of integrated HR tools
  • Businesses looking for efficient employee onboarding processes
  • HR managers wanting comprehensive benefits administration 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.

Gusto videos

+ Add

Gusto Payroll Review | Top 6 favorite features | $100 referral code

More videos:

  • Review - Gusto vs. QuickBooks Payroll
  • Tutorial - Gusto Payroll Review & Tutorial ($100 Amazon Bonus)
  • Review - Gusto Payment System: An Honest Review
  • Review - Gusto Payroll Software Review: An In-Depth Look At The Features
  • Review - What You MUST Know About Gusto Payroll
  • Review - Gusto Payroll Software Review - Why this is the BEST Payroll Software in 2023
  • Review - Gusto Payroll Software: The Ultimate Review

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Gusto and Matplotlib)

Gusto

Matplotlib

HR
100 100%
HR
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
HR Tools
100 100%
HR Tools
0% 0
Technical Computing
0 0%
Technical Computing
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 Gusto and Matplotlib

Gusto Reviews

11 Alternatives to QuickBooks in 2024
Gusto is focused on taking care of your payroll problems. (Note: Gusto is not accounting softwareโ€”it is only focused on payroll.)
Source: www.bench.co
Top 6 Paylocity alternatives and competitors (in-depth comparison)
Gustoโ€™s extensive payroll feature lets you transfer wages to contractors in other countries. Source[/caption] Thanks to the internet, many small businesses operate internationally. If thatโ€™s you, Gusto might be a good option. The platform lets you hire, onboard, and run payroll for employees in over 120 countries while staying compliant with local labor laws.Similar to...
Source: www.joinhomebase.com
The best 6 Paylocity competitors
A popular payroll processing tool and HR software, Gusto appeals to many HR professionals due to its extensive library of integrations and comprehensive approach to payroll compliance in the US.
Source: www.rippling.com
Top 8 Best Payroll Software For Accountants In 2022
Given its exceptional UX, flexibility, mobile access, customizable reports, and easy onboarding for new employees and contractors, Gusto is a good option for accountants working with smaller-sized teams. However, unfortunately, Gusto's core plan lacks time-tracking features, and itโ€™s worth mentioning that some users have complained about its poor customer service. While...
Source: www.toksta.com
6 Best Payroll Software for Small Businesses (2022)
Note: We use Gusto at WPBeginner to manage payroll for remote team members across different states. We started using Gusto back when it was called ZenPayroll and have been loving it since then.
Source: www.wpbeginner.com

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.
Source: www.technotification.com
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.
Source: searchbusinessanalytics.techtarget.com
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.
Source: www.analyticsvidhya.com
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...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Gusto. It has been mentiond 114 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.

Gusto mentions (18)

  • As a completely inexperienced newbie, how does salary payment work?
    If they are W2 or 1099, look at gusto.com, but I would encourage you to speak with a CPA so they can best advise you on your situation. If you do things wrong, it could put you in a lot of legal trouble. Source: over 3 years ago
  • The Fair Tax Act Aims to Abolish the IRS and Set a National Sales Tax. Here's How It Would Work
    There's Quickbooks for accounting. There's Gusto for payroll. There's CalendarCrush for invoicing. It'll cost you about $200 a month to get tooled correctly and you're off to the races. Source: over 3 years ago
  • Breaking Into Legal Tech
    Make โ€ข Build and automate workflows InvoiceBerry โ€ข Online invoicing for small businesses Gusto โ€ข Payroll, benefits and HR management Hive โ€ข Manage tasks, workflows and teamโ€™s work Lanva โ€ข Social video editing app. ClickUp โ€ข Manage tasks, docs, chat, goals and more Plausible โ€ข Open-source privacy-friendly web analytics Podcast Hawk โ€ข Podcast guest booking software. Writesonic โ€ข AI-driven content... Source: over 3 years ago
  • Do I need to out my 18y old on as an employee?
    W2 employee - More complicated to setup but there are lots of great services like Gusto that do pretty much everything for you. Then you just run payroll and taxes are taken out of his check. Source: over 3 years ago
  • Hiring a Canadian for ad hoc, hourly work (I'm a US person, not yet a business)
    Third - the 1099. If you have a consulting contract, then you don't have to pay taxes for the individual. The consulting contract will clearly state that they are responsible for all taxes, including self-employment taxes. I still use a payroll service (gusto.com in my case, but whatever floats your boat) to pay contractors, that way someone else is taking care of the 1099s and such, which can be a pain in the ass. Source: almost 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 / 8 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 Gusto and Matplotlib, you can also consider the following products

Paychex - Are you in need of payroll services, HR services, 401(k) and benefits administration, or more? No matter the size of your business, Paychex can help.

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

ADP Workforce Now - ADP Workforce Now provides cloud-based software, expert support and predictive analytics for data-driven insights.

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

Paylocity - Paylocity has revolutionized the industry and has quickly become the leading independent provider of online payroll services and HR solutions.

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

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