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Plotly VS LayAuto

Compare Plotly VS LayAuto and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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  4. » Alternatives

Plotly logo Plotly

Low-Code Data Apps

LayAuto logo LayAuto

Automated window management for Mac ✨
  • Plotly Landing page
    Landing page //
    2023-07-31
  • LayAuto Landing page
    Landing page //
    2022-05-02

Plotly videos

+ Add

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

LayAuto videos

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Category Popularity

0-100% (relative to Plotly and LayAuto)

Plotly

LayAuto

Data Visualization
100 100%
Data Visualization
0% 0
Window Manager
0 0%
Window Manager
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
OSX Tools
0 0%
OSX Tools
100% 100

User comments

Share your experience with using Plotly and LayAuto. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and LayAuto

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

LayAuto Reviews

We have no reviews of LayAuto yet.
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Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than LayAuto. While we know about 30 links to Plotly, we've tracked only 1 mention of LayAuto. 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 (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 / 14 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: over 1 year ago
View more

LayAuto mentions (1)

  • Recommedation on monitor
    Also, I'm using LayAuto software for window placement on a large display (split display in various sized grids - let me know if you want me to share my defaults). This is absolutely invaluable, as otherwise you spend most of your time arranging windows. Another one I've used and likes is Magnet, but it didn't allow me to customise the split and the keyboard shortcuts. Source: over 2 years ago

What are some alternatives?

When comparing Plotly and LayAuto, 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.

Magnet Window Manager - Magnet Developers

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

Spectacle App - Move and resize windows with ease.

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

BetterSnapTool - 10 Oct 2017 . BetterSnapTool allows you to easily manage your window positions and sizes by either dragging them to one of the screen's corners or to the top, left or right side of the screen.

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