Software Alternatives, Accelerators & Startups

Paycor VS Plotly

Compare Paycor VS Plotly and see what are their differences

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.

Paycor logo Paycor

Paycor builds HR & Payroll software for leaders, giving them the HR software, personalized support, and expert advice, they need to optimize their business and build winning teams.

Plotly logo Plotly

Low-Code Data Apps
  • Paycor Landing page
    Landing page //
    2023-08-17

Paycor empowers leaders to modernize every aspect of people management so they can focus on what really matters: building winning teams. The unified HCM solution ensures employee data is in one place, so you’ll never have to switch platforms, access multiple systems or re-key information. Automate tedious work, mitigate compliance risk, drive efficiencies, empower employees to control their own financial health and gain a deeper understanding of your business with robust analytics and insights.

  • Plotly Landing page
    Landing page //
    2023-07-31

Paycor features and specs

  • Payroll Software
    Pay employees from any location and never worry about tax compliance
  • HR Software
    Manage all employee tasks and documents in one place
  • Recruiting Software
    Find quality candidates, communicate via text, and get powerful analytics
  • Talent Developement
    Increase engagement and inspire employees with continuous development
  • Time & Attendance
    Control Costs and mitigate risk with accurate timekeeping
  • Learning Management System
    Maximize training and development with personalized content
  • Benefits Advisor
    Reduce tedious admin and maximize the power of your benefits program

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Paycor videos

Paycor x Cincinnati Bengals Customer Video Testimonial

More videos:

  • Demo - Meet Paycor: The Only HR & Payroll Platform Purpose-Built for Leaders

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Paycor and Plotly)
HR
100 100%
0% 0
Data Visualization
0 0%
100% 100
HR Tools
100 100%
0% 0
Data Dashboard
0 0%
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 Paycor and Plotly

Paycor Reviews

7 Workday Alternatives For Talent Management in 2024 
Paycor has carved out a distinctive niche in the HR software market by focusing on modernizing people management through intuitive HR processes. What sets it apart from Workday is its unique approach to human resources – rather than overwhelming users with endless features, Paycor prioritizes streamlining HR functions that directly impact daily operations.
Source: fuel50.com
The best 6 Paylocity competitors
A human capital management (HCM) system with powerful payroll features, Paycor supports complex automations that remove much of the “busy work” and risk of human error from payroll. Employee self service options like OnDemand pay, which allows employees to access money they’ve earned before payroll runs, and the Paycor Mobile wallet offer your team a high degree of financial...
Best Recruitment Software Reviews by Best Reviews
Paycor has four different plans available, making it a scalable solution, although prices are only disclosed after users have chosen a plan. The company offers appealing seasonal discounts and also provides iOS and Android apps and a 14-day free trial.
Source: bestreviews.net
10 Best HR Software For Payroll In 2022
Paycor modernizes every aspect of people management, from recruiting, onboarding and payroll to career development and retention. More than 29,000 customers trust Paycor to help them solve problems and achieve their goals.

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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.

Paycor mentions (0)

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

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 2 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

When comparing Paycor and Plotly, you can also consider the following products

Workday - Workday is an on‑demand financial management and human capital management software solution.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Paycom - Paycom is a Human Capital Management system that helps companies manage the complete employment life cycle, from recruitment to retirement.

Chart.js - Easy, object oriented client side graphs for designers and developers.

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

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...