Software Alternatives, Accelerators & Startups

Qonversion VS WebPlotDigitizer

Compare Qonversion VS WebPlotDigitizer 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.

Qonversion logo Qonversion

The subscription data platform for mobile-first companies

WebPlotDigitizer logo WebPlotDigitizer

WebPlotDigitizer - Web based tool to extract numerical data from plots, images and maps.
  • Qonversion Landing page
    Landing page //
    2022-09-19

Cross-platform subscription infrastructure, revenue analytics, engagement automation, and integrations all in one place to help you grow your app faster.

Qonversion allows fast in-app subscription implementation. It provides the back-end infrastructure to validate user receipts and manage cross-platform user access to paid content on your app, so you do not need to build your own server.

Qonversion also provides comprehensive subscription analytics and out-of-the-box integrations with the leading marketing, attribution, and product analytics platforms.

  • WebPlotDigitizer Landing page
    Landing page //
    2021-09-28

Qonversion

$ Details
freemium
Platforms
iOS Android Web REST API Objective-C Swift Java Browser Mac OSX Cross Platform Cloud Facebook React Native
Release Date
2019 August

WebPlotDigitizer

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Qonversion features and specs

  • SDKs
    iOS, Android, Flutter, React-Native, Unity, Cordova
  • Automation
    Automate your workflow with subscription and purchase events.
  • Cross-platform
    Subscription infrastructure to manage your in-app purchases in one place.
  • Integrations
    Facebook Ads, Amplitude, Mixpanel, AppsFlyer, Branch, Adjust, OneSignal, MailChimp, Braze
  • Analytics and Reporting
    See what subscriptions drive the most revenue for your app.

WebPlotDigitizer features and specs

  • User-Friendly Interface
    WebPlotDigitizer offers an intuitive, easy-to-navigate interface, making it accessible for users without extensive technical expertise.
  • Cross-Platform Capability
    Being a web-based tool, WebPlotDigitizer works across various operating systems such as Windows, macOS, and Linux without requiring installation.
  • Supports Multiple Plot Types
    The tool can digitize diverse chart types, including line plots, bar charts, scatter plots, and heat maps, enhancing its versatility.
  • Free to Use
    WebPlotDigitizer provides its core features without cost, making it accessible to a wide user base, including students and researchers.
  • Batch Processing
    The tool allows for batch processing of multiple images, saving time and effort when dealing with large datasets.

Possible disadvantages of WebPlotDigitizer

  • Accuracy Concerns
    The accuracy of digitized data can vary based on the quality of the input image and user interaction, which may require manual adjustments.
  • Limited Advanced Features
    While suitable for basic digitization tasks, WebPlotDigitizer lacks some advanced features and customization options found in dedicated data analysis software.
  • Dependency on Internet Connection
    As a web-based tool, WebPlotDigitizer requires an internet connection, which can be a limitation for offline work.
  • Learning Curve
    Some users may experience a learning curve with initial usage, especially when dealing with more complex digitization tasks.

Analysis of WebPlotDigitizer

Overall verdict

  • Overall, WebPlotDigitizer is a robust and effective tool for converting graphical data into numerical form. Its combination of ease of use and powerful features makes it a reliable choice for those needing to extract data from images.

Why this product is good

  • WebPlotDigitizer is considered a good tool because it provides users with the ability to extract numerical data from various types of plots, images, and charts efficiently. Its features, such as auto-extraction, color channel selection, and curve fitting, make it versatile for different kinds of data extraction tasks. The tool is also web-based, meaning users can access it easily without needing to install software on their local machines. Additionally, it supports multiple file formats and offers a straightforward user interface, contributing to its popularity in academic and professional settings.

Recommended for

    WebPlotDigitizer is recommended for researchers, scientists, data analysts, and students who frequently need to extract data from published graphs and charts. It is particularly useful in fields such as biology, engineering, physics, and any other areas where visual data needs to be quantitatively analyzed.

Qonversion videos

In App Monetization and In-App Subscription with Qonversion

More videos:

  • Tutorial - Implement iOS In-App Purchases & Subscriptions with Qonversion (Xcode 12, 2021, Swift 5)

WebPlotDigitizer videos

🔴 Webplotdigitizer Tutorial - A Plot Digitizer to Digitize Graphs

More videos:

  • Tutorial - WebPlotDigitizer v2.5 Tutorial - 2D XY plots and general tips.

Category Popularity

0-100% (relative to Qonversion and WebPlotDigitizer)
SaaS
100 100%
0% 0
Data Extraction
0 0%
100% 100
Subscriptions
100 100%
0% 0
Data Visualization
0 0%
100% 100

User comments

Share your experience with using Qonversion and WebPlotDigitizer. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Qonversion seems to be more popular. It has been mentiond 5 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.

Qonversion mentions (5)

  • WWDC22 overview: how to integrate and migrate in-app purchases to App Store Server API
    If you still have any questions about the logic behind these updates, please feel free to reach out to us. Qonversion provides a complete cross-platform infrastructure that allows you to make and restore purchases, validate receipts, and provide your app with an accurate subscription status without the need to build your server. - Source: dev.to / about 4 years ago
  • What’s new with in-app purchases: WWDC 2022 overview
    We know a thing or two about in-app purchases as Qonversion provides a complete cross-platform infrastructure that allows you to create and restore purchases, validate receipts, and provide your app with an accurate subscription status without the need to build your server. So, If you’d like to learn more about it or have any questions, feel free to ping me in comments here. - Source: dev.to / about 4 years ago
  • The new App Transaction API, Enhancements to StoreKit 2 and other WWDC22 updates for in-app purchases
    Once you’ve implemented in-app purchases, don’t forget to use the analytics tools to measure how much revenue each of your products brings. Qonversion provides a complete infrastructure for in-app purchases and allows you to create and restore purchases, validate receipts, and provide your app with an accurate subscription status without a need to build your own server. If you’d like to learn more on how to set up... - Source: dev.to / about 4 years ago
  • The Ultimate Guide to Subscription Testing on Android
    We hope you successfully tested your subscriptions and didn’t find any bugs. But even if you did, it’s great news to find them before publishing your app. Implementation of subscriptions has never been easy and requires tremendous resources for developing access management logic — there are so many scenarios and use cases. Qonversion significantly simplifies this process by providing you with ready-to-go solutions... - Source: dev.to / over 4 years ago
  • Setting Up Consumable and Non-consumable In-App Purchases
    Before we get started with the creation of consumable and non-consumable purchases, make sure that you already have a Qonversion account and have created your project and register the app. - Source: dev.to / over 4 years ago

WebPlotDigitizer mentions (0)

We have not tracked any mentions of WebPlotDigitizer yet. Tracking of WebPlotDigitizer recommendations started around Mar 2021.

What are some alternatives?

When comparing Qonversion and WebPlotDigitizer, you can also consider the following products

RevenueCat - In-app subscriptions made easy

Plot Digitizer - All-in-One Tool to Extract Data from Graphs, Plots & Images

ChartMogul - Master your recurring revenue. Advanced subscription analytics with one-click.

g3data - g3data is used for extracting data from graphs.

Adapty - Low-code price personalization for in-app subscriptions

DataThief III - DataThief III is a program to extract (reverse engineer) data points from a graph.