Software Alternatives, Accelerators & Startups

Quantopian VS Plotly.js

Compare Quantopian VS Plotly.js 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.

Quantopian logo Quantopian

Your algorithmic investing platform

Plotly.js logo Plotly.js

Open-source JavaScript charting library behind Plotly and Dash - plotly/plotly.js
  • Quantopian Landing page
    Landing page //
    2023-07-27
  • Plotly.js Landing page
    Landing page //
    2023-09-26

Quantopian features and specs

  • Community Collaboration
    Quantopian provided a platform for users to share and collaborate on trading algorithms, enabling users to learn from each other and improve their strategies.
  • Access to Data
    Quantopian offered access to a wide range of financial data sets, which allowed users to develop and back-test their algorithms using historical data.
  • Comprehensive Development Environment
    It featured an integrated development environment (IDE) with tools for coding, testing, and back-testing trading strategies in Python, which was user-friendly and powerful.
  • Educational Resources
    Quantopian provided various educational resources, including lectures, tutorials, and a supportive community forum, which were beneficial for both beginners and experienced traders.
  • Competition and Incentives
    Quantopian organized contests that incentivized users to develop successful trading algorithms, with the potential to receive a live trading allocation from the company.

Possible disadvantages of Quantopian

  • Shutting Down Services
    Quantopian shut down its retail offering in 2020, which meant that users could no longer use their platform for developing and testing new algorithms.
  • Limited Live Trading Options
    Users found limited options for deploying their strategies into live trading. Quantopian allowed this only for algorithms selected for allocation, which reduced accessibility for many users.
  • Dependence on Platform
    Users who developed algorithms on Quantopian's platform were heavily dependent on it, and when it shut down, they had to transition to other platforms, which could be challenging.
  • Resource Limitations
    There were computational and resource limitations for users, which could restrict the complexity of the algorithms and back-testing users could perform without additional infrastructure.
  • Portfolio Selection Process
    The selection process for having algorithms licenced for live trading allocation was competitive and not transparent to many users, which could lead to frustration.

Plotly.js features and specs

  • Interactive Visualizations
    Plotly.js provides highly interactive charting capabilities, allowing users to hover, zoom, and pan easily within charts, enhancing the user experience.
  • Wide Range of Chart Types
    The library supports a comprehensive variety of chart types, from simple line and bar charts to more complex types like histograms, scatter plots, and even 3D and geographic plots.
  • Cross-Platform Compatibility
    Plotly.js works seamlessly across different platforms and browsers, ensuring consistent chart rendering and functionality whether used on desktops or mobile devices.
  • Customizable
    Users have a high degree of control over the appearance and behavior of plots, with numerous options to customize colors, legends, tooltips, and more.
  • Integration with Dash
    Plotly.js integrates well with the Dash framework, enabling the creation of interactive web applications that are highly visual and data-driven.

Possible disadvantages of Plotly.js

  • Performance Concerns
    Rendering very large datasets can be slow, potentially impacting the performance of the application, particularly in resource-constrained environments.
  • Complexity
    For users new to the library, the learning curve can be steep due to the extensive options and configurations available.
  • Size of Library
    Plotly.js has a relatively large file size, which can be a concern for web applications where minimizing load times and data transfer is critical.
  • Limited Free Features
    Certain advanced features and functionalities may require a paid subscription to Plotly's services, which may not be ideal for all users or projects.
  • Dependency Management
    Managing dependencies and ensuring compatibility with other JavaScript libraries can sometimes pose challenges, especially in complex applications.

Quantopian videos

Algorithmic Trading with Python and Quantopian p. 1

More videos:

  • Review - Quantopian, simple strategies

Plotly.js videos

[Beginner] Simple Bar Chart | React Plotly.js

More videos:

  • Tutorial - Create Real-time Chart with Javascript | Plotly.js Tutorial

Category Popularity

0-100% (relative to Quantopian and Plotly.js)
Finance
100 100%
0% 0
Charting Libraries
0 0%
100% 100
Tool
100 100%
0% 0
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 Quantopian and Plotly.js

Quantopian Reviews

We have no reviews of Quantopian yet.
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Plotly.js Reviews

15 JavaScript Libraries for Creating Beautiful Charts
Plotly.js is the first scientific JavaScript charting library for the web. It has been open-source since 2015, meaning anyone can use it for free. Plotly.js supports 20 chart types, including SVG maps, 3D charts, and statistical graphs. Itโ€™s built on top of D3.js and stack.gl.
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
Plotly.js is a high-level JavaScript library, free and open-source. It is built on D3.js and WebGL, so can be used to create many different chart types including 3D charts to statistical graphs.
Source: hackernoon.com

Social recommendations and mentions

Based on our record, Plotly.js seems to be more popular. It has been mentiond 4 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.

Quantopian mentions (0)

We have not tracked any mentions of Quantopian yet. Tracking of Quantopian recommendations started around Mar 2021.

Plotly.js mentions (4)

  • Weekly JavaScript Roundup: Friday Links 17, February 07, 2025
    Plotly.js - Open-source JavaScript charting library behind Plotly and Dash. - Source: dev.to / over 1 year ago
  • Ask HN: What packages can be used to create interactive mathematics simulations?
    Well, MathML[1] support is (nearly) everywhere now, and as the docs say: MathML Core is a subset with increased implementation details based on rules from LaTeX and the Open Font Format. It is tailored for browsers and designed specifically to work well with other web standards including HTML, CSS, DOM, JavaScript. I don't have a lot of experience working with this stuff (yet) but if you can script your... - Source: Hacker News / about 3 years ago
  • What's new in Matplotlib 3.7.0 (Feb 13, 2023)
    Plotly offers multiple options (python, R, javascript). The weby stuff is done with plotly.js and uses d3.js underneath - https://github.com/plotly/plotly.js. - Source: Hacker News / over 3 years ago
  • How to decide between Dash versus Flask + React + Plotly.js?
    So you didn't use Django DRF as the backend? I'm just curious how Dash communicated with Django - did it communicate via plain HTTP calls? I guess you ran non-React Plotly.js (https://github.com/plotly/plotly.js)? Source: about 5 years ago

What are some alternatives?

When comparing Quantopian and Plotly.js, you can also consider the following products

QuantConnect - 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.

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.

Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

CloudQuant - Crowd based algorithmic trading development and backtesing for stock market trading.

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