Software Alternatives, Accelerators & Startups

TradingLite VS Plotly

Compare TradingLite 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.

TradingLite logo TradingLite

Next-generation technical analysis platform Real-time liquidity heatmap, order-flow tools, indicator scripting plus more, whilst supporting all major crypto exchanges.

Plotly logo Plotly

Low-Code Data Apps
  • TradingLite Landing page
    Landing page //
    2023-06-10
  • Plotly Landing page
    Landing page //
    2023-07-31

TradingLite features and specs

  • Advanced Charting Tools
    TradingLite offers advanced charting tools that allow traders to perform in-depth technical analysis with custom indicators and a variety of chart types.
  • Heatmaps
    The platform provides heatmaps that give users insights into market liquidity and order book depth, which can be beneficial for understanding market movements.
  • User-friendly Interface
    TradingLite features an intuitive and easy-to-navigate interface, making it accessible for both beginners and experienced traders.
  • Customizability
    Users can customize their trading experience with custom themes, layouts, and personalized indicators, allowing a tailored approach to trading.
  • Real-time Data
    The platform offers real-time data feeds, ensuring that traders have up-to-date information to make informed trading decisions.

Possible disadvantages of TradingLite

  • Limited Asset Coverage
    TradingLite may have limited coverage of financial assets or markets compared to other trading platforms, potentially restricting traders interested in niche markets.
  • Subscription Costs
    Access to certain advanced features and functionalities on TradingLite might require a subscription, which can be a downside for budget-conscious traders.
  • Learning Curve
    While the interface is user-friendly, the advanced trading tools and features may present a learning curve for new traders.
  • Reliance on Browser
    As TradingLite primarily operates through a web-based interface, users might encounter performance issues depending on their browser or internet connection.
  • Limited Educational Resources
    The platform might not provide extensive educational resources compared to other platforms, which could be a drawback for traders looking to improve their skills.

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.

TradingLite videos

Introduction to TradingLite and its features

More videos:

  • Tutorial - Heatmap Tutorial - TradingLite
  • Review - Tradinglite: Identify Spoofing Orders

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 TradingLite and Plotly)
Finance
100 100%
0% 0
Data Visualization
0 0%
100% 100
Trading
100 100%
0% 0
Data Dashboard
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 TradingLite and Plotly

TradingLite Reviews

We have no reviews of TradingLite 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 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.

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than TradingLite. While we know about 33 links to Plotly, we've tracked only 2 mentions of TradingLite. 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.

TradingLite mentions (2)

  • Feature Request: Add Volume Heatmaps in Tradingview
    Here is one but not for equities https://tradinglite.com/. Source: almost 4 years ago
  • Next wall is at 0.003 BTC and I'm not selling any of my EOS!
    I saw some of the members of this community are using https://tradinglite.com/ to scan for sell walls, also in the past. Something called trading x-ray. Source: about 4 years ago

Plotly mentions (33)

  • 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 / about 2 months 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 / 4 months 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 / 6 months 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 / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

TradingView - The best charting tool for crypto and stocks

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.

NVSTly - A free, interactive social investing platform where retail traders can track, share, or copy trades with extensive insights on every position & in-depth performance stats. Discover & follow top ranked investors or compete against the best.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Atas - ATAS professional trading and analytic platform. АTAS analysis program: time&sales (time and sales), smart tape, atas allows to analyze point volumes

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