Software Alternatives, Accelerators & Startups

Affise VS Plotly

Compare Affise VS Plotly and see what are their differences

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Affise logo Affise

Affiliate marketing and mobile attribution platform built to manage, attribute, and scale performance marketing across web and mobile.

Plotly logo Plotly

Low-Code Data Apps
  • Affise Landing page
    Landing page //
    2023-09-28

Affiliate marketing and mobile attribution platform built to manage, attribute, and scale performance marketing across web and mobile.

Trusted by 1,000+ companies since 2017, Affise offers two core products:

  1. Affise Performance โ€“ Built for affiliate networks to track, optimize, and scale with confidence, offering advanced crossโ€‘device attribution, fully customizable postbacks, realโ€‘time analytics, and builtโ€‘in fraud prevention.

  2. Affise Mobile Attribution (MMP) โ€“ Full-funnel tracking for installs, in-app events, re-engagements, and uninstalls across iOS and Android. Supports SKAN, Facebook attribution, and raw data exports.

Affise also empowers media buying teams with a centralized dashboard for smart cost tracking, bulk editing, and granular performance insights.

By unifying attribution, automation, and analytics, Affise gives marketers full control over their performance ecosystemโ€”driving growth, optimizing spend, and scaling with confidence.

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

Affise

Website
affise.com
$ Details
paid
Release Date
2016 January
Startup details
Country
Lithuania
City
Vilnius
Founder(s)
Dmitri Zotov
Employees
100 - 249

Affise features and specs

  • Comprehensive Tracking
    Affise offers robust tracking capabilities, enabling users to monitor a wide array of performance metrics, from clicks and conversions to detailed user behavior.
  • Customizable Interface
    The platform provides a highly customizable interface, allowing users to tailor dashboards and reports to suit their specific needs.
  • API Access
    Affise offers extensive API access for advanced integrations, making it easier to connect with other tools and systems used by businesses.
  • Affiliate Management
    The tool includes comprehensive affiliate management features, enabling easy onboarding, management, and payout of affiliates.
  • Real-Time Reporting
    Users can access real-time data and insights, which is essential for making timely and informed decisions in fast-paced marketing environments.
  • Customer Support
    Affise provides 24/7 customer support, ensuring that users can get help whenever they need it.
  • Fraud Detection
    The platform includes fraud detection mechanisms, helping to identify and mitigate fraudulent activities.

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 Affise

Overall verdict

  • Affise is generally considered a good platform for those seeking in-depth analytics and customizable solutions in the affiliate marketing space. Its strength lies in its adaptability to different business needs and effective campaign management tools. However, the complexity of its features may present a learning curve for new users.

Why this product is good

  • Affise is a performance marketing platform that offers a comprehensive suite of tools for managing affiliate marketing, partnerships, and advertising campaigns. It is known for its robust tracking capabilities, customizable dashboard, and integration options, which can help businesses optimize their marketing efforts. The platform also provides analytics and detailed reporting features to give insights into campaign performance.

Recommended for

    Businesses and marketers who require advanced tracking, reporting, and customization abilities in their affiliate marketing campaigns will benefit most from Affise. The platform is particularly well-suited for medium to large enterprises and agencies looking to effectively manage a high volume of affiliate partnerships and campaigns.

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.

Affise videos

Affise, tracking platform for more than 1000 affiliate networks

More videos:

  • Review - Affise - SaaS Marketing Platform, where you can grow your affiliate business

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 Affise and Plotly)
Advertising
100 100%
0% 0
Data Visualization
0 0%
100% 100
Ads Performance
100 100%
0% 0
Charting Libraries
0 0%
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 Affise and Plotly

Affise Reviews

We have no reviews of Affise 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.
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 seems to be more popular. 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.

Affise mentions (0)

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

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
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