Software Alternatives, Accelerators & Startups

Plotly VS Kudos

Compare Plotly VS Kudos and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Kudos logo Kudos

Kudos is the simple and easy to use employee recognition software that enhances employee engagement and team communication.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Kudos Landing page
    Landing page //
    2023-06-14

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

Kudos videos

Hippovape Kudos Single Battery Squonk Review | Super Innovative Squonk Lockable Bottle

More videos:

  • Review - Kudos Review: Taking Credit Cards With Your Smartphone or Tablet
  • Review - Khana's VS Kudos | Food Review (2020) | The Akarma Couple
  • Review - I Tried KUDOS for the First Time | Is Cheap Food Better?
  • Review - Kudos Review: Top Features, Pros and Cons, and Alternatives
  • Review - KHANAS vs KUDOS | Eat Original or Eat Better?

Category Popularity

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

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.

Kudos Reviews

13 Employee Recognition Software Used Widely Across The Globe
Kudos is a top-rated peer-to-peer recognition program that helps companies build a strong work culture where good performance and top performers are appreciated and recognized for their contributions on time, every time. Kudos is the only employee recognition software to have multiple levels of recognition supporting appreciation and performance.Â

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 29 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.

Plotly mentions (29)

  • 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: 6 months ago
  • Junior Developer asked to make Saaas in first month.
    If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: almost 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
  • Wait, but I thought they were the same thing?
    I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
  • Storing your data in a Plotly Dash data dashboard
    Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
View more

Kudos mentions (0)

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

What are some alternatives?

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

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.

Bonusly - Recognition and rewards that make work fun

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

Assembly - Assembly is an employee recognition software powered by AI that boosts engagement and productivity. Empower teams with peer-to-peer recognition, rewards, and performance tracking. Simplify HR processes and foster a positive workplace culture.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

Fond - Fond employee engagement platform helps companies increase employee happiness with recognition, rewards, perks and survey programs to maximize impact..