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Expresso VS Plotly

Compare Expresso VS Plotly and see what are their differences

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Expresso logo Expresso

The award-winning Expresso editor is equally suitable as a teaching tool for the beginning user of regular expressions or as a full-featured development environment for the experienced programmer with an extensive knowledge of regular expressions.

Plotly logo Plotly

Low-Code Data Apps
  • Expresso Landing page
    Landing page //
    2018-09-29
  • Plotly Landing page
    Landing page //
    2023-07-31

Expresso features and specs

  • User-Friendly Interface
    Expresso has an intuitive and user-friendly interface that makes it easy for both novice and experienced users to create and test regular expressions.
  • Comprehensive Test Environment
    It includes a detailed test environment where users can test their regular expressions against sample text to ensure accuracy and efficiency.
  • Integrated Syntax Highlighting
    The tool provides syntax highlighting to help users identify different parts of their expressions easily, which can reduce errors and improve readability.
  • Extensive Library of Expressions
    Expresso features a library of pre-built regular expressions that users can use as a reference or starting point for their own expressions, saving time and effort.
  • Educational Resources
    It offers numerous tutorials and guides that can help users understand regular expressions better and improve their skills progressively.

Possible disadvantages of Expresso

  • Limited to Windows
    Expresso is only available for Windows operating systems, which limits its accessibility to users on other platforms like macOS or Linux.
  • Outdated User Interface
    Some users might find the user interface to be somewhat outdated compared to more modern applications, which could impact the user experience.
  • Lack of Advanced Features
    While useful for basic and intermediate tasks, Expresso might lack some advanced features and customization options found in more comprehensive regex tools.
  • No Collaboration Features
    The application does not offer any features for collaboration, which might be a drawback for teams working together on complex projects.
  • No Cloud Integration
    Expresso does not offer cloud integration, meaning users cannot easily sync their work across multiple devices or share it through cloud services.

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.

Expresso videos

+ Add

REVIEW DE MON EXPRESSO À 100 000 EUROS AVEC STROPOSAUCE

Plotly videos

+ Add

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 Expresso and Plotly)

Expresso

Plotly

Regular Expressions
100 100%
Regular Expressions
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Productivity
100 100%
Productivity
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Expresso and Plotly

Expresso Reviews

We have no reviews of Expresso 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 a lot more popular than Expresso. While we know about 33 links to Plotly, we've tracked only 2 mentions of Expresso. 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.

Expresso mentions (2)

  • Can I match multiple parameters?
    Working in PowerShell (.Net regex) one of my favorite tools is https://ultrapico.com/expresso.htm. It does require registering for a free license but it's well worth it. Source: about 3 years ago
  • Melody - A language that compiles to regular expressions and aims to be more easily readable and maintainable
    Then you need this or something like it: https://ultrapico.com/expresso.htm. Source: about 3 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 Expresso and Plotly, you can also consider the following products

RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.

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.

rubular - A ruby based regular expression editor

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

RegEx Generator - RegEx Generator is a simple-to-use application that comes with the brilliance of intuitive regex and is also helping you out to test the regex.

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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