Software Alternatives, Accelerators & Startups

Perfect Wiki VS Plotly

Compare Perfect Wiki VS Plotly and see what are their differences

Perfect Wiki logo Perfect Wiki

Build and organize your knowledge base of company resources without switching between workspaces

Plotly logo Plotly

Low-Code Data Apps
  • Perfect Wiki Landing page
    Landing page //
    2022-01-05

Create pages with user guides, onboarding, SOPs, and more—all within Microsoft Teams.

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

Perfect Wiki

$ Details
freemium $2.5 / Monthly (per user)
Platforms
Web Cross Platform
Release Date
2020 August

Perfect Wiki features and specs

  • History: Yes

Plotly features and specs

No features have been listed yet.

Perfect Wiki videos

Perfect Wiki Quick Tour

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 Perfect Wiki and Plotly)
Productivity
100 100%
0% 0
Data Visualization
0 0%
100% 100
Project Management
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using Perfect Wiki and Plotly. 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 Perfect Wiki and Plotly

Perfect Wiki Reviews

  1. Best knowledge app on the market!

    Everything the MS Teams app is missing, Perfect Wiki gave me! No more losing precious content, I can protect all my pages from edits with the simple rights management. Setting up the wiki was super easy too - just seconds and we were making pages in MS Teams channels. I recommend Perfect Wiki to all my tech-savvy friends - we all agree that as of today its' the best way to share knowledge in Microsoft Teams. Very cheap too.

    👍 Pros:    Fast & accurate search|Ms teams integration|Page templates|Export in pdf|Many import options|Responsive support team
    👎 Cons:    No mobile app yet

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 seems to be more popular. It has been mentiond 30 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.

Perfect Wiki mentions (0)

We have not tracked any mentions of Perfect Wiki yet. Tracking of Perfect Wiki recommendations started around Mar 2021.

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 / 8 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: about 1 year ago
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What are some alternatives?

When comparing Perfect Wiki and Plotly, you can also consider the following products

Dropbox Paper Mobile - Organize your team’s knowledge in a single place

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.

DoSheets - Building blocks for your business

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

Nova Code Editor - Nova Code Editor is software that is used for writing and editing codes.

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