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Which is more popular?
Based on our record, Plotly
seems to be a lot more popular than Backtrader.
While we know about 34 links to Plotly,
we've tracked only 3 mentions of Backtrader.
social mentions
34 vs 3
Data Visualization popularity
100% vs 0%
alternatives listed
240+ vs 70
Base details
Website, pricing, platforms and company facts side by side.
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
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.
Versatility Backtrader supports a wide variety of data sources and formats, as well as different types of financial instruments, allowing for extensive backtesting and live trading capabilities.
Community and Documentation The platform has a strong community and comprehensive documentation, making it easier for new users to get started and for experienced users to troubleshoot and optimize their strategies.
Python Integration Written in Python, Backtrader allows users to leverage Python's extensive ecosystem of libraries for data analysis, machine learning, and other financial computations.
Open Source As an open-source project, users can modify and extend the platform to meet their specific trading and testing needs without restrictions, and contribute to its development.
Flexibility in Strategy Design Backtrader offers a flexible and intuitive framework to design complex trading strategies, enabling users to test multiple strategies with different parameters efficiently.
Possible disadvantages
Steep Learning Curve Despite its flexibility, new users may find Backtrader's extensive features and options overwhelming, requiring a significant amount of time to learn and effectively utilize.
Performance Issues For very large datasets, Backtrader might experience performance bottlenecks or require additional optimization, as Python is not the fastest language for high-frequency backtesting.
Limited Technical Support As a community-driven open-source project, Backtrader might lack the formal technical support and customer service that comes with commercial trading platforms.
Complexity in Live Trading Transitioning from backtesting to live trading can require significant additional setup and potential custom development, especially in integrating broker APIs.
Outdated Resources Some educational materials and tutorials may be outdated, leading to confusion due to interface or feature updates that are not well-documented.
Analysis
An editorial look at what each product does well and who it suits.
PlotlyBacktrader
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.
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.
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...
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...
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
/
8 months ago
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
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...
- Source: dev.to
/
almost 2 years ago
My reality of trading and how i wish i had never started.
I do like what I see and hear about backtrader.com. I would say they are a notable exception to my general rule of not trusting or using backtesting frameworks. However, I still think it is important to understand how the framework you...
Source:
over 3 years ago
My reality of trading and how i wish i had never started.
What about backtrader.com? And I feel like it would be step 2 after you at least have something to backtrade and test haha.
Source:
over 3 years ago
I need to know what can go wrong with my 'masterplan'
Backtesting is basically applying your strategy on historical price data to see if it makes money. I've used Backtrader it works decently well: https://backtrader.com/.
Source:
about 5 years ago
Alternatives to Plotly and Backtrader
When comparing Plotly and Backtrader, you can also consider the following products.
QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.
QuantRocket is an all-in-one end-to-end data trading platform and is securing your connection to other trading applications that will be the key to query data and submit orders.
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
QuantConnect
CloudQuant
QuantRocket
Quantopian
TradingView
Gekko Plus
Intrinio
