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Rippling VS Matplotlib

Compare Rippling 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

Rippling logo Rippling

One directory for employee information across IT, HR, legal, finance and facilities.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Rippling Landing page
    Landing page //
    2023-05-28
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Rippling features and specs

  • Unified Platform
    Rippling provides an all-in-one HR and IT management solution, including payroll, benefits, time tracking, and device management, reducing the need for multiple software subscriptions and simplifying administrative tasks.
  • Scalability
    Designed to scale with businesses as they grow, Rippling can handle the evolving needs of both small startups and large enterprises, allowing for seamless integration of additional features and services.
  • Automation
    Rippling offers extensive automation capabilities, which can streamline processes like onboarding, offboarding, and compliance management, saving time and reducing human errors.
  • User-Friendly Interface
    The platform boasts an intuitive and easy-to-navigate interface, making it accessible for users who may not be tech-savvy and enhancing overall user experience.
  • Integration Capabilities
    Rippling can integrate with a wide variety of third-party applications, allowing businesses to sync data across different tools and platforms seamlessly.
  • Cloud-Based Flexibility
    As a cloud-based solution, Rippling enables employees and administrators to access the platform from anywhere, which is particularly valuable in remote and hybrid work environments.

Possible disadvantages of Rippling

  • Cost
    Rippling tends to be more expensive compared to some other HR and IT management solutions, which might be a deterrent for smaller businesses or startups with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, the vast array of features and functionalities can result in a steep learning curve for new users, requiring time and training to fully utilize the platform's capabilities.
  • Support Limitations
    Some users have reported limitations with customer support, including longer response times and less proactive support solutions, which can be frustrating during critical situations.
  • Feature Overlap
    Because Rippling offers such a broad range of services, there may be feature overlap with existing tools that a company is already using, potentially resulting in redundant functionalities.
  • Customization Constraints
    While Rippling is highly configurable, some users have noted constraints in customization options, which might limit the platform's ability to meet very specific business needs.

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 Rippling

Overall verdict

  • Rippling is a well-regarded HR and payroll solution for businesses looking to streamline their administrative processes. Its robust features and integration capabilities make it suitable for organizations seeking to consolidate their HR tools into a single platform.

Why this product is good

  • Rippling is considered a strong choice for businesses due to its comprehensive suite of tools for managing employee data and payroll. It offers an integrated platform that simplifies HR processes by consolidating employee information, payroll, and benefits administration. Its user-friendly interface and automation capabilities help streamline administrative tasks, making it easier for HR teams to manage operations efficiently. Furthermore, Rippling is known for its flexibility and scalability, accommodating businesses of various sizes and facilitating seamless integration with other software systems.

Recommended for

  • Small to mid-sized businesses looking to streamline HR tasks.
  • Companies that need an all-in-one HR and payroll solution.
  • Organizations seeking to automate and integrate employee management tools.
  • Businesses that require flexibility and scalability in their HR software.

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.

Rippling videos

+ Add

Rolfe Winkler on Zenefits fmr CEO Parker Conradโ€™s new competing startup Rippling adds IT to payroll

More videos:

  • Review - Rippling CTO Prasanna Sankar: Parker Conrad Gave Rippling CTO 40% 2,000 Customers "$36m ARR Not Far"
  • Review - Rippling Review: Rippling is Magical
  • Review - Rippling Review: Huge Positive Change moving to Rippling
  • Review - Work Magic | Rippling.com
  • Review - Rippling review timesheets on app
  • Tutorial - How to Use HR Features & Run Payroll with Rippling
  • Review - Rippling Review - Should You Use it? Top Features, Pros and cons, Walktrough

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Rippling and Matplotlib)

Rippling

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 Rippling and Matplotlib

Rippling Reviews

Top 8 Deel Competitors & Alternatives in 2025
Rippling stands out for its comprehensive approach, offering a more complete global HR platform compared to Deel. It excels in compliance management and IT integration, making it suitable for businesses seeking an all-encompassing solution for global workforce management. However, its pricing structure and potential complexity may be drawbacks for smaller organizations or...
Source: www.wisemonk.io
PeopleSoft Alternatives: 10 Modern HRIS Solutions for Every Business Size
Rippling represents the forefront of modern HRIS, integrating easily with a vast array of systems. It's particularly suitable for tech-forward businesses, streamlining complex processes through advanced workflow automation. Rippling's approach to HRIS makes it a strong contender for firms that demand cutting-edge technology to manage their human resources efficiently and...
Source: www.outsail.co
The best 6 Paylocity competitors
Unlike Paylocity, which focuses on payroll automation, Rippling goes beyond payroll automation, offering customizable workflows across your entire HR, IT, and finance functions. With access to data from three key sectors, Rippling also offers a much more advanced reporting and analytics functionality than Paylocity. Where Paylocity offers 12 template reports, Rippling has...
Source: www.rippling.com
Top 6 UKG Competitors and Alternatives
Rippling is a comprehensive HR software and service platform with a particular focus in information technology management functions. It allows you to combine HR and IT features to improve employee experience and workforce management, such as coordinating device and software deployment during the employee onboarding process.
Source: www.techrepublic.com
Best Paylocity Competitors & Alternatives in 2024
Beyond features like tax management, benefits administration, time tracking, and expense management, Rippling stands out thanks to its modern and user-friendly design, customizable features, and integration capabilities. With a pricing structure similar to other Paylocity competitors, like OnPay or Justworks, Rippling starts at a base price of $8 per monthly employee. Some...
Source: www.myshortlister.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 seems to be more popular. 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.

Rippling mentions (0)

We have not tracked any mentions of Rippling yet. Tracking of Rippling recommendations started around Mar 2021.

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 Rippling and Matplotlib, you can also consider the following products

BambooHR - Personalized HR software for SMBs

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

Workday - Workday is an onโ€‘demand financial management and human capital management software solution.

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

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

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

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