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Plotly Reviews and details

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

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

Introducing plotly.py 3.0

Is Plotly The Better Matplotlib?

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Plotly and what they use it for.
  • 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: 4 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: 10 months 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: 11 months 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
  • Visualizing Supabase Data using Metabase
    Data helps organizations make better decisions. With a programming language like Python to analyze your data and transform data into visual representations, you can effortlessly tell the story of your business. One way to create customized visuals from your data would be to use data visualization libraries in Python like Matplotlib, Seaborn, Ggplot2, Plotly, or Pandas. When you want to accomplish this task with... - Source: dev.to / over 1 year ago
  • Which library is best for visualizing backend data generated by Django?
    If you are using template engine, you can use Plotly on the backend to generate a chart, convert it to an HTML div to plugged into the rendered template. Then introduce plotly.js to allow the browser to render the generated chart on the frontend. See an example. Source: almost 2 years ago
  • [OC] Russian population decline hit -1,042,675 last year. This population pyramid shows the development since 1946. With wars, famine, and the fall of Soviet marked.
    Consider Plotly, it's built on top of d3js and provides a nice abstraction layer that you can use from JavaScript, Python, R, etc. Source: almost 2 years ago
  • Good software for creating simple graphics for thesis and presentation
    To plot some sensor data I use Plotly or Matplotlib. Source: almost 2 years ago
  • Interactive Online Portfolio
    Wouldn't plotly and nbviewer work for your use case? Source: almost 2 years ago
  • Why You Should Use Python For Your Next Project
    Python package manager (pip) consists of over 300,000 packages. You can use libraries like ​​SciPy, which contains various modules for optimization, linear algebra, integration, and statistics, or Plotly, which you can use for scientific-quality graphing. The scope of problems that Python libraries address is vast. Rarely will you struggle to find the right library that will help you solve the problem. - Source: dev.to / about 2 years ago
  • Weekly Entering & Transitioning Thread | 20 Feb 2022 - 27 Feb 2022
    Check out Plotly. It's very easy to make interactive plots. Source: about 2 years ago
  • Make a Dashboard for Your Twitter Stats With Python And Anvil
    Now, it's time to populate these plots with data. Luckily, these plots are not specific to Anvil, but are good old Plotly graphs. So, we can simply use the go functions from the plotly.graph_objects module. - Source: dev.to / about 2 years ago
  • FullStack JWT Authentication and Authorization System with Django and SvelteKit
    A while ago, I built a data-intensive application that collects, analyzes, and visualizes data using Django, Plotly, and Django templating language. However, an upgrade was recently requested which made me tend to re-develop the application from the ground up. A pivotal aspect of the app is Authentication and Authorization system since the data are confidential and only authorized personnel should be allowed... - Source: dev.to / about 2 years ago
  • 10 Python Libraries For Data Visualization
    Plotly The Plotly library is an online platform for data visualization and it can be used in making interactive plots that are not possible using other Python libraries. Few such plots include dendrograms, contour plots, and 3D charts. Other than these graphics, some basic visualization graphs such as area charts, bar charts, box plots, histograms, polar charts, and bubble charts can also be created using the... - Source: dev.to / about 2 years ago
  • Ask HN: Who is hiring? (December 2021)
    Plotly | Full-time | REMOTE, (CA or US) | https://plotly.com/ Looking for a senior backend engineer. We're building Dash Enterprise, a web app that lets data scientists quickly and easily spin up and scale data science and ML apps. We do this using Kubernetes. Cool, right? * You won't work overtime. - Source: Hacker News / over 2 years ago
  • Series Intro: Data Visualization With Svelte and D3
    Curran Kelleher's Data Visualization With React and D3 is probably the most comprehensive course on D3 on the Internet. For some time I have been curious about D3 and data visualization in general. While I have worked with Python libraries like Matplotlib , Seaborn and Plotly and they are fantastic for most kinds of exploratory and scientifc plots they have limitations on the web particularly in terms of... - Source: dev.to / over 2 years ago
  • Mito - a free Excel-like JupyterLab extension
    Then came seaborn and plotly, which can make stunning visualizations in Python with just a few commands… a giant leap again. Source: over 2 years ago
  • Should I chose Flask or Django for my team's new Python Framework?
    Plotly? I don't think neither Django nor Flask are akin to Shiny. Not saying it's not possible, just that imo it's not really a direct comparison. Source: over 2 years ago
  • Should I not use matplotlib for this project?
    Use plotly. Its a commonly used library for producing interactive plots. Source: over 2 years ago
  • The Best Python Tools for Spreadsheet Users
    Plotly -- Plotly is Python package for visualizations -- it provides dynamic charts that you can get used to in spreadsheets -- it builds upon some of the basic features of plotting packages like Matplotlib. Source: over 2 years ago

External sources with reviews and comparisons of Plotly

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.
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 chart types like scatter plots, histograms,...
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.

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