Software Alternatives, Accelerators & Startups

Plotly VS Parseur.com

Compare Plotly VS Parseur.com and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

Parseur.com logo Parseur.com

Automate text extraction from emails and PDFs by using our powerful email and document parser.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Parseur.com Landing page
    Landing page //
    2021-06-15

Parseur is a leading document processing software ranging from email parsing to PDF extraction. Use Parseur to automate text extraction from emails, PDFs, spreadsheets, attachments and documents and put your business on auto-pilot. Setup is easy as everything is point & click and intuitive. Send parsed data to thousands of applications in real time via our integrations with Google Sheets, Zapier, Microsoft Power Automate and Make or your custom application using webhooks.

Companies in finance, food delivery, real estate, e-commerce, marketing, logistics & delivery, travel, hospitality and more are saving thousands of work hours every month by automating their data entry process with Parseur.

Parseur.com

$ Details
freemium $39.0 / Monthly (100 pages per month)
Platforms
Browser Web Google Chrome Cross Platform Firefox Safari
Release Date
2016 December

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.

Parseur.com features and specs

  • Ease of Use
    Parseur offers an intuitive drag-and-drop interface, making it easy for users of any technical skill level to set up and customize data extraction templates.
  • Automation Capabilities
    The platform automates the process of extracting data from emails, simplifying workflows and reducing manual effort.
  • Integration Options
    Parseur supports multiple integrations with popular third-party applications like Zapier, Google Sheets, and various CRM systems, enabling seamless data transfer.
  • Support for Multiple File Types
    Parseur can handle various document formats including PDFs, Excel files, and plain text, expanding its usability across different use cases.
  • Accurate Data Extraction
    The platform uses machine learning algorithms to improve the accuracy of data extraction over time, reducing errors and improving data quality.
  • Scalability
    Designed to handle large volumes of data, whether you're processing a dozen emails or thousands, Parseur scales according to your needs.

Possible disadvantages of Parseur.com

  • Pricing
    The service can be expensive for small businesses or startups with limited budgets, especially if higher volumes of emails need to be processed.
  • Learning Curve
    Although the interface is user-friendly, some users may require time to fully understand all features and get the most out of the platform.
  • Limited Offline Capabilities
    Parseur requires an internet connection for most operations, which can be a drawback for users needing offline capabilities.
  • Customer Support
    Some users have reported delays in customer support response times, which can be problematic if immediate help is needed.
  • Template Management
    Managing multiple templates can become cumbersome, especially for businesses with complex and varied data extraction needs.
  • Feature Overload
    For some users, the plethora of features can feel overwhelming, making it easy to overlook or under-utilize certain functionalities.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Analysis of Parseur.com

Overall verdict

  • Parseur.com is generally well-regarded in the industry for its user-friendly approach and robust features, making it a worthwhile tool for businesses in need of parsing solutions.

Why this product is good

  • Parseur.com is considered a good option because it provides a reliable and efficient email parsing solution that automates data extraction from emails, PDFs, spreadsheets, and other documents. It offers an easy-to-use interface, powerful workflows, and integration capabilities with various applications, making it suitable for businesses looking to streamline data processing tasks.

Recommended for

  • Businesses needing to automate data extraction from documents
  • Companies looking to integrate data parsing with other applications
  • Users seeking a no-code or low-code data processing tool
  • Organizations wanting to improve efficiency in data handling and management

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

Parseur.com videos

Meet Parseur, a powerful tool to extract text from emails and PDFs

Category Popularity

0-100% (relative to Plotly and Parseur.com)
Data Visualization
100 100%
0% 0
Data Extraction
0 0%
100% 100
Charting Libraries
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using Plotly and Parseur.com. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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 thatโ€™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.

Parseur.com Reviews

  1. Parsing PDF at ease

    When dealing with entities that send lots of data in an unstructured way because they think a PDF is the end of their digitalization process, Parseur is a great tool to automate reading this PDF and converting its data into structured json and then from their you can send it to your endpoint.

  2. Thomas Brunkard
    ยท Head of Marketing at Solution Centre ยท
    Powerful Solution with Excellent Support

    Email may probably never die but that doesn't mean that business processes should be slowed or halted. Parseur enables us to create a lot more efficiencies by handling email data as though it was keyed in by a customer agent.

    There are other services that do this but for the low cost and the ease of use, this service is the best.

    For those of us working in the European Union, Parseur was also easy to assess and approve for GDPR requirements.

    The support for post processing is very powerful and with a extensive export options, it is very easy to get data into the right funnel.

    ๐Ÿ Competitors: Mailparser, Parserr
    ๐Ÿ‘ Pros:    Quickly compliant with gdpr|Microsoft power automate ready|Its flexible and easy to use|Outstanding customer support

Social recommendations and mentions

Based on our record, Plotly should be more popular than Parseur.com. It has been mentiond 34 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 / about 2 years ago
View more

Parseur.com mentions (12)

  • Is it Possible to have info from text messages/emails auto added or removed from an Excel sheet as they come in?
    You can get an account with https://parseur.com/ and then a number with OpenPhone, and Zappier. Those 3 will let you do what you want (easily). Source: over 3 years ago
  • Building an email parser with ChatGPT-4 and Laravel
    Iโ€™m sure this is super cool, but have you considered https://parseur.com itโ€™s built for stuff like this. Source: over 3 years ago
  • Using Power Automate To Parse Email and Extract Information From The Body
    For more complex layouts, or if you have to deal with several layouts, it may be better to use third party document extraction tool that connects to like Parseur. Source: over 3 years ago
  • Email, PDF, to Sales order? Automate Sales Order Entry
    You could use a document parser tool, like Parseur to better automate the process. Source: almost 4 years ago
  • CEO looking for a solution
    And if you ever are in need of an intelligent document processing software, have a look at Parseur.com (of which I'm the co-founder, sorry for the shameless plug ;-)). Source: over 4 years ago
View more

What are some alternatives?

When comparing Plotly and Parseur.com, you can also consider the following products

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.

DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ€™ platform makes it straightforward and fast to create highly accurate Deep Learning models.

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.

Parsio.io - No-code email & PDF parser