Software Alternatives & Startups

ADP VS Matplotlib

Compare ADP VS Matplotlib and see what are their differences

ADP

ADP payroll services, HR Solutions, Tax Compliance, and PEO. Get a free ADP payroll quote today. Easy-to-use business solutions for employers of all sizes.

Rating
0 reviews
Matplotlib

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

Rating
0 reviews
Pricing
Open source
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.

Which is more popular?

Based on our record, Matplotlib seems to be a lot more popular than ADP. While we know about 114 links to Matplotlib, we've tracked only 7 mentions of ADP.

social mentions
7 vs 114
HR popularity
100% vs 0%
alternatives listed
234 vs 238

Base details

Website, pricing, platforms and company facts side by side.

ADP
Matplotlib
Website adp.com matplotlib.org
Pricing
Open source
Listed in

Features and specs

What each product offers, as listed by its team.

ADP 6 features
Matplotlib 6 features
  • Comprehensive Feature Set
    ADP offers a wide range of services including payroll processing, time and attendance tracking, HR management, and benefits administration, making it a one-stop solution for businesses.
  • Scalability
    ADP can accommodate businesses of various sizes, from small enterprises to large corporations, allowing for growth without needing to switch platforms.
  • Compliance Support
    ADP helps businesses stay compliant with ever-changing regulations, offering resources and updates that ensure adherence to legal requirements.
  • Customer Support
    ADP provides 24/7 customer support, ensuring that assistance is available whenever it is needed.
  • Integration Capability
    ADP integrates seamlessly with various accounting and ERP systems, enhancing its flexibility and utility.
  • Data Security
    ADP is known for its strong focus on data security, providing robust measures to protect sensitive employee and company information.

Possible disadvantages

  • Cost
    ADP is often considered expensive, which may be a barrier for smaller businesses or startups with limited budgets.
  • Complexity
    The extensive feature set can be overwhelming and may require significant time for new users to learn and navigate effectively.
  • Contract Commitments
    ADP usually requires long-term contracts, which can be restrictive for businesses that prefer more flexible arrangements.
  • Customization Limitations
    While ADP offers a wide range of features, customization options are somewhat limited, which may not meet the specific needs of all businesses.
  • Customer Support
    While customer support is available 24/7, some users report inconsistency in the quality of service provided.
  • Implementation Time
    The setup and implementation process can be time-consuming, requiring a dedicated effort from the business’s team.
  • 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

  • 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

An editorial look at what each product does well and who it suits.

ADP
Matplotlib

Overall verdict

  • ADP is generally considered a good option for businesses seeking comprehensive HR management solutions. While some users might find it more expensive than other options, its reliability, extensive features, and strong customer support often justify the investment for many companies.

Why this product is good

  • ADP (Automatic Data Processing) is a reputable company that provides comprehensive human resources management software and services, including payroll processing, talent management, and benefits administration. It is known for its reliable and efficient services, which are backed by decades of experience in the industry. ADP's solutions are designed to help businesses of all sizes optimize their HR processes and reduce administrative burdens. The company also offers robust customer support and a wide range of integrations with other business software, making it a popular choice among organizations seeking to streamline their HR functions.

Recommended for

  • Medium to large businesses that need scalable HR and payroll solutions
  • Organizations seeking robust customer support and reliable service
  • Companies looking for a comprehensive suite of HR tools that integrate with other business applications

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.

Videos

Walkthroughs and reviews on video.

ADP 8 videos + Add
Matplotlib 1 video + Add

ADP solutions explained: user reviews, screenshots and feature differences

More videos

  • - ADP: 5 Fast Facts
  • - Wisely by ADP Review
  • - Which Payroll Company is Best? | Gusto vs. Quickbooks vs. ADP vs. Paychex | $100 Referral Code
  • - ADP Payroll Demo
  • - Gusto Payroll vs ADP: What You MUST Know Before Choosing
  • - New ADP Performance Review Process Training
  • - Best Payroll Service in 2022 (Paychex vs ADP vs Gusto vs Quickbooks)

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
ADP
Matplotlib
100% 100%
HR
0% 0%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using ADP and Matplotlib. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

ADP no reviews yet
Matplotlib no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

ADP 7 mentions
Matplotlib 114 mentions
  • W2
    Unless something has changed recently you should be able to see your W2 after Jan. 3 on adp.com. Source: almost 4 years ago
  • What is happening when a website gets a 404 error on multiple devices but the website is working outside of that network?
    To add to this, if adp.com generates the error then their webserver is accessible, and then the problem is caused by i.e. a wrong configuration or a typo (server side). When people in another domain can access a specific URL then it is... Source: over 4 years ago
  • Android has an autofill API. Is it possible to use autofill on desktop without installing a browser extension?
    Basically they both look like https://adp.com but the "a" is a different ASCII character and has a different binary value. Source: almost 5 years ago

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  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 8 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’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... - Source: dev.to / 11 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 / 11 months ago

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Alternatives to ADP and Matplotlib

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