Plotly Reviews and details

Social recommendations and mentions

• 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 1 month 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 / 3 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 / 5 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

• 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 2 years 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: almost 2 years 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 2 years 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 2 years 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 / almost 3 years 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 3 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: about 3 years ago

• Good software for creating simple graphics for thesis and presentation

  To plot some sensor data I use Plotly or Matplotlib. Source: about 3 years ago

• Interactive Online Portfolio

  Wouldn't plotly and nbviewer work for your use case? Source: about 3 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 3 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 3 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 / over 3 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 3 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 / over 3 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 3 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 3 years ago