Software Alternatives, Accelerators & Startups

AfterShip VS Plotly

Compare AfterShip VS Plotly 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.

AfterShip logo AfterShip

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

Plotly logo Plotly

Low-Code Data Apps
  • AfterShip Landing page
    Landing page //
    2023-05-19

AfterShip is an automated tracking solution and API for eCommerce Support tracking 538 international couriers worldwide

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

AfterShip

$ Details
freemium
Platforms
REST API Shopify Magento
Release Date
2012 February
Startup details
Country
Hong Kong
City
Tsuen Wan
Founder(s)
Andrew Chan
Employees
250 - 499

AfterShip features and specs

  • Comprehensive Tracking
    AfterShip supports tracking for over 900 couriers worldwide, allowing businesses to consolidate tracking information in one platform.
  • Customizable Notifications
    The platform offers customizable email and SMS notifications to keep customers informed about their order status, improving customer satisfaction.
  • Analytics and Insights
    Users can access detailed analytics and reports to gain insights into shipping performance, helping businesses optimize their shipping processes.
  • Integration Capabilities
    AfterShip can be integrated with various e-commerce platforms like Shopify, WooCommerce, and Magento, as well as other third-party applications, enhancing its usability.
  • User-Friendly Interface
    The platform is designed with a user-friendly interface, making it easy for businesses to navigate and manage shipments efficiently.

Possible disadvantages of AfterShip

  • Cost
    AfterShip can be expensive for small businesses or startups, especially if they need advanced features or high volumes of shipments.
  • Learning Curve
    While the interface is user-friendly, the range of features available may require a learning curve for new users to fully leverage all functionalities.
  • Limited Free Plan
    The free plan has limited features and supports only a small number of shipments, which may not be sufficient for growing businesses.
  • Dependency on Courier APIs
    The accuracy and timeliness of tracking information are dependent on the courier APIs, which can sometimes lead to delays or inconsistencies.
  • Customer Support
    Some users have reported that customer support can be slow or unresponsive at times, potentially affecting issue resolution and overall experience.

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 AfterShip

Overall verdict

  • Yes, AfterShip is a good tool for businesses that want to streamline their shipping and tracking processes. It is well-regarded for its user-friendly interface, robust set of features, and ability to improve the overall customer experience.

Why this product is good

  • AfterShip is considered a good choice for businesses looking to enhance their post-purchase experience. It offers seamless package tracking, excellent integration capabilities with eCommerce platforms like Shopify, and automated notifications. It helps to improve customer satisfaction by providing visibility on the shipping process, reducing customer inquiries related to delivery status.

Recommended for

  • E-commerce businesses looking to enhance their customer service.
  • Retail companies with high volumes of shipments.
  • Businesses aiming to reduce support queries related to shipping status.
  • Startups that want an easy-to-integrate tracking solution.

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.

AfterShip videos

Aftership Tracking Shopify App Honest Review

More videos:

  • Review - Aftership vs Shopify Shipment Tracking & Notify App
  • Review - AfterShip - How it works?

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 AfterShip and Plotly)
Shipping and Tracking
100 100%
0% 0
Data Visualization
0 0%
100% 100
eCommerce
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

Share your experience with using AfterShip and Plotly. 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 AfterShip and Plotly

AfterShip Reviews

We have no reviews of AfterShip yet.
Be the first one to post

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.

Social recommendations and mentions

Based on our record, Plotly should be more popular than AfterShip. 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.

AfterShip mentions (4)

  • 6 days with no updates, did the plane fkin crash???
    Use getcircuit.com or aftership.com instead, they update faster and first before pandabuy. Source: about 3 years ago
  • Shipped 1 week ago and still have not got any new updates
    Try using: aftership.com or epost.go.kr: mine was in that same position and still is on pandabuy app! But when I went epost.go.kr I was able to get an update! I shipped the same date and almost time that your photo shows. Hope this helps! Source: over 3 years ago
  • USPS-Heathrow
    I'd also recommend using your own mail service's website or something like aftership.com because somehow they have better updates than Royal Mail for a lot of packages. Source: over 3 years ago
  • 4PX or a USPS problem
    I used 4PX (because I didn't understand how the DHL shipping worked) and wound up getting it within 2-1/2 weeks. If you have the 4PX tracking number you can check status on aftership.com. At some point it is turned over to USPS and you should be able to get the USPS tracking number and check on delivery status on USPS.com. Source: about 5 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 AfterShip and Plotly, you can also consider the following products

Cabubble - Taxi and minicab quotes for London, Birmingham, Manchester and throughout the UK. Book a licensed taxi or minicab online via website or mobile app.

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...

17track - All-in-one package tracking

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.