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17track VS Plotly

Compare 17track VS Plotly and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

17track logo 17track

All-in-one package tracking

Plotly logo Plotly

Low-Code Data Apps
  • 17track Landing page
    Landing page //
    2023-04-04
  • Plotly Landing page
    Landing page //
    2023-07-31

17track features and specs

  • Comprehensive Tracking
    17track supports tracking for over 500 carriers worldwide, making it a versatile tool for monitoring packages from various shipping services.
  • User-Friendly Interface
    The platform features a clean and intuitive interface, allowing users to easily input tracking numbers and view the status of their shipments.
  • Real-Time Updates
    Users get real-time updates on the status and location of their packages, which helps in tracking the exact progress of deliveries.
  • Multi-Language Support
    17track is available in multiple languages, making it accessible to a global audience.
  • Mobile App Availability
    The service offers mobile apps for both iOS and Android, enabling users to track packages on-the-go.

Possible disadvantages of 17track

  • Advertisements
    The free version of 17track includes advertisements, which may be distracting for users.
  • Data Privacy Concerns
    Users may be concerned about sharing their tracking numbers and personal data with a third-party platform.
  • Occasional Inaccuracies
    Some users report occasional inaccuracies in tracking information, which can lead to confusion about the actual status of their shipments.
  • Limited Advanced Features
    While great for basic tracking, 17track may lack some advanced features found in specialized logistics and supply chain management tools.
  • Dependency on Carrier Updates
    The accuracy and timeliness of tracking information depend on the data provided by the carriers, which can vary in quality.

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.

Analysis of 17track

Overall verdict

  • Yes, 17track is considered to be a good and reliable tool for tracking packages from multiple carriers.

Why this product is good

  • 17track is widely regarded as a good package tracking platform because it allows users to track shipments from a vast number of international and domestic carriers, making it convenient for those who shop online from different sources. The platform also offers a user-friendly interface, mobile app support, and detailed tracking information.

Recommended for

    17track is recommended for individuals who frequently shop online from various international retailers and need a centralized tool to track parcels from numerous carriers in one place. It's also useful for small businesses that want to provide customers with an easy way to track their orders.

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.

17track videos

+ Add

17track.net Website Review How To Use and Track Packages

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 17track and Plotly)

17track

Plotly

Shipping and Tracking
100 100%
Shipping and Tracking
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Web Application Bundler
100 100%
Web Application Bundler
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using 17track 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 17track and Plotly

17track Reviews

  1. Stivan
    ยท Working at Ordertracker ยท

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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than 17track. While we know about 34 links to Plotly, we've tracked only 2 mentions of 17track. 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.

17track mentions (2)

  • ETA to North America?
    14-21 days for me. 17track.net/enallows you to follow the progress if you know your tracking number. Source: about 3 years ago
  • ๐ŸŽ‰Special offer
    โœ…Package timely tracked on:https://17track.net/en. Source: almost 4 years ago

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 / 5 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

What are some alternatives?

When comparing 17track and Plotly, you can also consider the following products

AfterShip - AfterShip is the shipment tracking API for ecommerce businesses and marketplaces.

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.

OneTracker - OneTracker โ€“ Package Tracker is an app by OneTracker Team that helps users track all their delivery vehicles and staff to increase the productivity of their delivery business.

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

TrackChecker Mobile - TrackChecker Mobile app features tracking of parcels and online orders, so users donโ€™t have to worry about losing a package by tracking the parcel right on their mobile phone screen.

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.

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