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InsideView VS Plotly

Compare InsideView VS Plotly and see what are their differences

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  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

InsideView logo InsideView

InsideView aggregates and curates all the company and contact data, news and social insights, and professional connections you need to do business better.

Plotly logo Plotly

Low-Code Data Apps
  • InsideView Landing page
    Landing page //
    2023-10-16

ย  www.insideview.comSoftware by InsideView

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

InsideView features and specs

  • Comprehensive Data
    InsideView offers a wide range of data points including company profiles, industry news, and market insights, which can be valuable for sales and marketing teams looking to target prospects more effectively.
  • Integrations
    InsideView integrates with major CRMs like Salesforce, Microsoft Dynamics, and SAP, allowing for seamless data synchronization and workflow automation.
  • User-Friendly Interface
    The platform is designed to be intuitive and easy to navigate, which can reduce the learning curve for new users and increase overall productivity.
  • Real-time Updates
    InsideView provides real-time updates on company and industry news, helping sales and marketing teams stay informed and make timely decisions.
  • Predictive Analytics
    The tool offers predictive analytics capabilities that can help identify high-potential leads and optimize marketing strategies.

Possible disadvantages of InsideView

  • Cost
    InsideView can be relatively expensive, particularly for small to midsize businesses that may have limited budgets for sales and marketing tools.
  • Data Accuracy
    While comprehensive, some users have noted occasional inaccuracies in the data, which can lead to inefficiencies or incorrect targeting.
  • Complexity
    Despite its user-friendly interface, the platform's extensive features can sometimes be overwhelming for new users, requiring additional time and training to use effectively.
  • Limited Customization
    Some users report that the platform offers limited customization options, which can be a drawback for businesses with specific or unique requirements.
  • Customer Support
    Several users have mentioned that customer support can be slow to respond or not as helpful as expected, which can be frustrating when issues arise.

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 InsideView

Overall verdict

  • Overall, InsideView is generally viewed positively by users who need accurate and actionable business intelligence. Its robust database and real-time data updates are praised for supporting strategic decision-making. However, some users may find its features to be more suitable for larger enterprises with comprehensive data needs.

Why this product is good

  • InsideView is considered a strong tool for businesses seeking comprehensive market intelligence and data enrichment services. It provides detailed insights into companies, industry trends, and competitive landscapes, helping businesses enhance their sales and marketing efforts. InsideView's integration capabilities with CRM systems make it a valuable asset for streamlining data management and improving lead generation.

Recommended for

    InsideView is recommended for sales and marketing professionals, business development teams, and organizations that require in-depth market analysis. It is especially beneficial for medium to large enterprises that prioritize data accuracy and integration capabilities in their quest for maintaining competitive market positions.

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.

InsideView videos

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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 InsideView and Plotly)

InsideView

Plotly

Sales Tools
100 100%
Sales Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Lead Generation
100 100%
Lead Generation
0% 0
Charting Libraries
0 0%
Charting Libraries
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 InsideView and Plotly

InsideView Reviews

We have no reviews of InsideView 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.
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 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.

InsideView mentions (0)

We have not tracked any mentions of InsideView yet. Tracking of InsideView 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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What are some alternatives?

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

DiscoverOrg - DiscoverOrg is an IT sales intelligence platform providing technology marketers access to data, IT org charts, and real time projects.

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.

Datanyze - The sales prospecting tool powered by technology data

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

Clearbit - Clearbit provides Business Intelligence APIs

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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