Software Alternatives, Accelerators & Startups

Polymaps VS Plotly

Compare Polymaps VS Plotly and see what are their differences

Polymaps logo Polymaps

Polymaps is a free JavaScript library for making dynamic, interactive maps in web browsers.

Plotly logo Plotly

Low-Code Data Apps
  • Polymaps Landing page
    Landing page //
    2019-06-10
  • Plotly Landing page
    Landing page //
    2023-07-31

Polymaps videos

The SINE Player: Episode 5 - Articulations and Polymaps

More videos:

  • Review - Minecraft: Cobble Clicker Skyblock By Polymaps(Review)

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 Polymaps and Plotly)
Maps
100 100%
0% 0
Data Visualization
0 0%
100% 100
Web Mapping
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 Polymaps and Plotly

Polymaps Reviews

A Complete Overview of the Best Data Visualization Tools
Polymaps is a dedicated JavaScript library for mapping. The outputs are dynamic, responsive maps in a variety of styles, from image overlays to symbol maps to density maps. It uses SVG to create the images, so designers can use CSS to customize the visuals of their maps.
Source: www.toptal.com
The Best Data Visualization Tools - Top 30 BI Software
Polymaps is designed to visualize maps. It is a JavaScript library that uses SVG to represent geographical data from the country level down to a local street. You use CSS rules to style your visualization and data can be easily interpreted by Polymaps via the GeoJSON standard. All maps created with Polymaps can be made interactive.
Source: improvado.io

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 30 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.

Polymaps mentions (0)

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

Plotly mentions (30)

  • 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 / 8 days 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: 7 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: about 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
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What are some alternatives?

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

Google Maps - Find local businesses, view maps and get driving directions in Google Maps.

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.

OpenStreetMap - OpenStreetMap is a map of the world, created by people like you and free to use under an open license.

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

Leaflet - Leaflet is a modern, lightweight open-source JavaScript library for mobile-friendly interactive maps.

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