Software Alternatives, Accelerators & Startups

Google Finance VS Plotly

Compare Google Finance 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.

Google Finance logo Google Finance

Google Finance is a website focusing on business news and financial information hosted by Google.

Plotly logo Plotly

Low-Code Data Apps
  • Google Finance Landing page
    Landing page //
    2023-09-30
  • Plotly Landing page
    Landing page //
    2023-07-31

Google Finance features and specs

  • Ease of Use
    Google Finance offers a user-friendly interface that's easy to navigate, making it accessible for both novice and experienced investors.
  • Integration with Google Ecosystem
    It integrates seamlessly with other Google services, such as Google Search and Google Sheets, enabling users to streamline their financial tracking and analysis.
  • Real-Time Data
    Provides real-time stock quotes and market data, helping users make informed investment decisions quickly.
  • Free Access
    All features of Google Finance are available for free, making it a cost-effective solution for financial data and research.
  • Customizable Watchlists
    Allows users to create and customize watchlists to follow their preferred stocks, mutual funds, and other financial instruments easily.

Possible disadvantages of Google Finance

  • Limited Advanced Features
    Lacks some of the more advanced charting tools and in-depth analysis features available on other platforms geared towards professional traders and analysts.
  • Data Sources
    The data sources for some financial metrics can sometimes be limited or outdated compared to specialized financial platforms.
  • No Trading Functionality
    Google Finance does not offer direct trading capabilities; users must use separate brokerage accounts for executing trades.
  • Limited News Coverage
    The news coverage can be less comprehensive than dedicated financial news platforms, potentially missing out on some critical market events or insights.
  • Regional Limitations
    Some features and data might not be fully available or functional in all countries, limiting its usefulness for international investors.

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 Google Finance

Overall verdict

  • Google Finance is a good option for those who are looking for a straightforward and accessible way to monitor financial markets and stay informed about their investments. While it may lack some advanced analytical tools available on specialized financial platforms, its ease of use and integration with Google services make it a viable option for casual and intermediate users.

Why this product is good

  • Google Finance offers real-time market data, news, and financial information, which makes it a convenient resource for individual investors and finance enthusiasts. Its integration with other Google services and a clean user interface provide an accessible platform for tracking portfolios and accessing the latest financial news. The service is also free, which makes it appealing compared to some paid financial data platforms.

Recommended for

    Google Finance is recommended for casual investors, individuals seeking a user-friendly platform for market information, and those who need basic financial news and updates without incurring subscription costs. It is especially suitable for users who already utilize other Google services and prefer an integrated approach to managing their financial information.

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.

Google Finance videos

Free Investment Tools: Introduction to Google Finance

More videos:

  • Review - Google finance review
  • Review - Free Investment Tools: Setup a portfolio in Google Finance

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 Google Finance and Plotly)
Finance
100 100%
0% 0
Data Visualization
0 0%
100% 100
Investing
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 Google Finance and Plotly

Google Finance Reviews

Top 10 Best Free Stock Charting Software Tools 2021 Review
Google finance suffered criminally in the weakness of its charting, scoring 13 out of 28 points, it is not all bad news. Google is an excellent place to go for a single page of the latest news, blog alerts, and the P&L & Balance Sheet of any stock, and if you only need a rapid view of the general stock, this is still a good stop of point for a general look. The news reports...

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 Google Finance. 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.

Google Finance mentions (6)

  • Tracking bought/sold ETF or Crypto?
    If you're dealing with other currencies it might get a little more tricky, but those rates can also be fetched in googlespreadsheets. If you want a plug & play method https://google.com/finance/. Source: over 2 years ago
  • AH volume was 8mill ish checking at 5pm now its 22k?
    Perhaps that was a spot trade volume? I like to use google.com/finance to follow afterhours. Source: over 3 years ago
  • Share Price look-up using GOOGLEFINANCE won't load TSE:CM-O
    What is interesting, is that your link to google.com/finance requires the ticker in for CM-O:TSE while the GOOGLEFINANCE function requires it in form TSE:CM-O. Source: over 3 years ago
  • BBBY being censored by Google Finance???
    Google Finance (google.com/finance) allows you to browse lists of most active stocks measured by volume and price movement. Despite BBBY having gained +21.83% with 80M+ volume today it is no where to be seen on their lists. They also usually show badges next to hot stocks such as "Most active" or "Gainers" but they do not show them on BBBY. If I remember correctly I saw them earlier this week, but since then it... Source: about 4 years ago
  • Hey guys, looking for some feedback.
    Thank you for the constructive feedback, the difference between this and the google.com/finance watchlist would be that MorningBagel would email you as soon as things happen. Think of it as something that is constantly watching out for you as compared to just being able to check the google watchlist at one point in the day. Source: about 4 years ago
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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
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What are some alternatives?

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

Yahoo! Finance - At Yahoo Finance, you get free stock quotes, up-to-date news, portfolio management resources, international market data, social interaction and mortgage rates that help you manage your financial life.

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.

FinViz - Stock screener for investors and traders, financial visualizations.

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

Koyfin - Koyfin provides tools to help investors research stocks and other asset classes through dashboards and charting.

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.