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Sharesight VS Plotly

Compare Sharesight VS Plotly and see what are their differences

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  3. » Reviews
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Sharesight logo Sharesight

Online stock portfolio tracker that automatically tracks prices, dividends, performance and tax.

Plotly logo Plotly

Low-Code Data Apps
  • Sharesight Landing page
    Landing page //
    2026-03-03
  • Plotly Landing page
    Landing page //
    2023-07-31

Sharesight features and specs

  • Comprehensive Portfolio Tracking
    Sharesight supports a wide range of asset types, including stocks, ETFs, mutual funds, and even cryptocurrencies. This allows users to track all their investments in one place.
  • Automatic Dividend Tracking
    Sharesight automatically tracks dividends and distributions, which saves time and helps in accurate performance calculation.
  • Tax Reporting
    The platform provides detailed tax reporting, which can simplify the process of preparing taxes and ensure compliance with tax regulations.
  • Performance Benchmarking
    Users can benchmark their portfolio's performance against market indices to understand how well their investments are doing relative to the broader market.
  • Integration Capabilities
    Sharesight integrates with various popular financial tools and brokers, enabling seamless data import and export.
  • User-Friendly Interface
    The platform features an intuitive and user-friendly interface, making it accessible for both novice and experienced investors.

Possible disadvantages of Sharesight

  • Cost
    While Sharesight offers a free tier, many advanced features and higher asset tracking limits require a paid subscription, which might be costly for some users.
  • Limited Real-Time Data
    Sharesight does not offer real-time stock data, which can be a drawback for traders who need up-to-the-minute information.
  • Complexity for Small Investors
    The extensive range of features may be overwhelming for small investors or those with simpler investment needs.
  • Dependent on Data Feeds
    Sharesight relies on data feeds from various sources, which means that any inaccuracies or delays in these feeds can impact the reliability of the information displayed.
  • Geographical Limitations
    Certain features and support options may be more tailored to specific countries, potentially limiting their usefulness for international users.

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 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.

Sharesight videos

+ Add

A MUST HAVE For Every Investor (US & Aus) | Sharesight Review

More videos:

  • Review - Best Way to Monitor Your Investment on Investnow with Sharesight | New Zealand
  • Review - Sharesight - Simply the best portfolio tracker for DIY investors

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 Sharesight and Plotly)

Sharesight

Plotly

Finance
100 100%
Finance
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Investing
100 100%
Investing
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Sharesight 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 Sharesight and Plotly

Sharesight Reviews

We have no reviews of Sharesight 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.
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 that’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.

Sharesight mentions (0)

We have not tracked any mentions of Sharesight yet. Tracking of Sharesight 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 / 6 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!🤓
    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 / almost 2 years 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 Sharesight and Plotly, you can also consider the following products

Snowball Analytics - Simple and powerful portfolio tracker for investors. Dividend tracker, portfolio performance and quick portfolio rebalancing. Supports thousands of stocks, funds and cryptocurrencies from all over the world.

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.

Portfolio Performance - Stock portfolio tracking

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

getquin - Track all your investments in one place

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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