Software Alternatives, Accelerators & Startups

GitHub & BitBucket HTML Preview VS Plotly

Compare GitHub & BitBucket HTML Preview VS Plotly and see what are their differences

GitHub & BitBucket HTML Preview logo GitHub & BitBucket HTML Preview

HTML Preview for GitHub and BitBucket Repositories

Plotly logo Plotly

Low-Code Data Apps
  • GitHub & BitBucket HTML Preview Landing page
    Landing page //
    2019-12-31
  • Plotly Landing page
    Landing page //
    2023-07-31

GitHub & BitBucket HTML Preview videos

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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 GitHub & BitBucket HTML Preview and Plotly)
CDN
100 100%
0% 0
Data Visualization
0 0%
100% 100
Image Optimisation
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 GitHub & BitBucket HTML Preview and Plotly

GitHub & BitBucket HTML Preview Reviews

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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.
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 should be more popular than GitHub & BitBucket HTML Preview. 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.

GitHub & BitBucket HTML Preview mentions (10)

  • Bitwig and Presonus launch open DAWproject format
    One thing I'd like to see is native support for some notion of pitch other than 12-tone equal temperament. Looking at their example, I see this: ...which looks like it's basically just a representation of the underlying midi. One way they could represent other pitches is for "key" to allow a floating point value rather... - Source: Hacker News / 8 months ago
  • How to get Index.htm to run?
    If it hasn’t already been said, “.htm” is not correct. For a proper index file to communicate a hyper text transfer protocol, you should be using “.html”. There are a few ways to view your site. One is through GitHub using their .io viewer (https://htmlpreview.github.io) and the other is just to open it from your desktop via your browser of choice. As someone here already stated, you can also use GitHub pages to... Source: about 1 year ago
  • Ask HN: Those making $0/month or less on side projects – Show and tell
    PeaceFounder: https://peacefounder.org For the past few years, I have been exploring the idea of building an e-voting system around the anonymisation of voters rather than votes. In contrast to existing systems, the design enables the publication of all election evidence, verifying the legitimacy of the votes without sacrificing either privacy or transparency. It does all complex ElGamal re-encryption mixing... - Source: Hacker News / over 1 year ago
  • Show HN: A new way to do footnotes
    I can’t see what this offers over pandoc markdown or it’s successor: https://htmlpreview.github.io/?https://github.com/jgm/djot/blob/master/doc/syntax.html#footnote-reference. - Source: Hacker News / over 1 year ago
  • We Should Have Markdown Rendered Websites
    For a static document markup language, Djot does a rather good job: https://github.com/jgm/djot It's similar yet much fuller-featured than commonmark, with support for definition lists, footnotes, tables, several new kinds of inline formatting (insert, delete, highlight, superscript, subscript), math, smart punctuation, attributes that can be applied to any element, and generic containers for block-level,... - Source: Hacker News / over 1 year ago
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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 GitHub & BitBucket HTML Preview and Plotly, you can also consider the following products

Statically - The free optimization & CDN for images, CSS, JavaScript, and open source.

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.

raw.githack.com - raw.githack.com serves raw files from github.com with proper Content-Type headers (like rawgit.

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

jsDelivr - A free, fast, and reliable Open Source CDN for npm and GitHub with the largest network and best performance from all OSS CDNs. Serving 100 billion requests per month.

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