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#TrelloAnnualReport VS Plotly

Compare #TrelloAnnualReport VS Plotly and see what are their differences

Project Burndown
Burndown is project management, automated. Our smart scheduling technology constantly manages your team's schedule - based on your priorities, progress, and capacity - so you don’t have to. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

#TrelloAnnualReport logo #TrelloAnnualReport

Get some fun free stats for your team's year on Trello!

Plotly logo Plotly

Low-Code Data Apps
  • #TrelloAnnualReport Landing page
    Landing page //
    2022-06-14
  • Plotly Landing page
    Landing page //
    2023-07-31

#TrelloAnnualReport videos

No #TrelloAnnualReport videos yet. You could help us improve this page by suggesting one.

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Plotly videos

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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 #TrelloAnnualReport and Plotly)

#TrelloAnnualReport

Plotly

Productivity
100 100%
Productivity
0% 0
Data Visualization
3 3%
Data Visualization
97% 97
Analytics
100 100%
Analytics
0% 0
Data Dashboard
5 5%
Data Dashboard
95% 95

User comments

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Reviews

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

#TrelloAnnualReport Reviews

We have no reviews of #TrelloAnnualReport yet.
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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

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.

#TrelloAnnualReport mentions (0)

We have not tracked any mentions of #TrelloAnnualReport yet. Tracking of #TrelloAnnualReport recommendations started around Sep 2021.

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: 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
  • 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
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What are some alternatives?

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

Mirro - An all-in-one team performance management solution made easy

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.

Charte - Free online interactive charts for non-techies

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

Information is Beautiful - Ideas, issues, knowledge, data — visualized!

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

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