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We Do Data Science VS Plotly

Compare We Do Data Science VS Plotly and see what are their differences

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We Do Data Science logo We Do Data Science

Data Science in your browser

Plotly logo Plotly

Low-Code Data Apps
  • We Do Data Science Landing page
    Landing page //
    2023-10-17
  • Plotly Landing page
    Landing page //
    2023-07-31

We Do Data Science features and specs

  • Specialized Expertise
    We Do Data Science specializes in data science solutions, offering expert services tailored for various industries and applications.
  • Comprehensive Services
    The company provides a wide range of services including data analysis, machine learning, and predictive modeling, catering to diverse client needs.
  • Experienced Team
    The team comprises experienced data scientists and analysts who are capable of delivering high-quality and robust data solutions.
  • Client-Centric Approach
    We Do Data Science emphasizes a personalized approach, working closely with clients to understand their unique challenges and develop customized solutions.

Possible disadvantages of We Do Data Science

  • Cost
    Specialized data science services can be expensive, potentially making them less accessible for smaller businesses or startups with limited budgets.
  • Scalability
    Depending on the company’s size and resources, there might be limitations in handling very large-scale or complex projects simultaneously.
  • Niche Market
    Focusing solely on data science may limit the breadth of services compared to larger firms that offer integrated solutions across multiple domains.
  • Availability
    High demand for data science expertise could lead to longer wait times for project initiation or delays in service delivery.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

We Do Data Science videos

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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 We Do Data Science and Plotly)

We Do Data Science

Plotly

Data Dashboard
14 14%
Data Dashboard
86% 86
Data Visualization
11 11%
Data Visualization
89% 89
Business Intelligence
28 28%
Business Intelligence
72% 72
Charting Libraries
0 0%
Charting Libraries
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 We Do Data Science and Plotly

We Do Data Science 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.
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 a lot more popular than We Do Data Science. While we know about 33 links to Plotly, we've tracked only 1 mention of We Do Data Science. 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.

We Do Data Science mentions (1)

  • [OC] 2020 Average price of carbon emissions
    Tool: wedodatascience.com (a free tool that I made). Source: over 2 years ago

Plotly mentions (33)

  • 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
View more

What are some alternatives?

When comparing We Do Data Science and Plotly, you can also consider the following products

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

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

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

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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