Software Alternatives, Accelerators & Startups

Plotly VS No Code Chart

Compare Plotly VS No Code Chart and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

No Code Chart logo No Code Chart

Free no-code tool to create and export chart to your website
  • Plotly Landing page
    Landing page //
    2023-07-31
  • No Code Chart Landing page
    Landing page //
    2021-12-08

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.

No Code Chart features and specs

  • Ease of Use
    No Code Chart allows users to create charts without any coding knowledge, making it accessible to a broader audience, including those with no technical background.
  • Time Efficiency
    The platform streamlines the process of chart creation, enabling users to generate visualizations quickly as opposed to writing and debugging code.
  • Cost-Effective
    Eliminates the need to hire professional developers for creating charts, which can significantly reduce expenses for small businesses or individual users.
  • User-Friendly Interface
    Designed with a simple and intuitive interface that guides users through the process, enhancing user experience and reducing the learning curve.
  • Customization Options
    Offers a variety of customization options to tailor charts to specific needs and preferences, improving flexibility while maintaining simplicity.

Possible disadvantages of No Code Chart

  • Limited Flexibility
    May not support the creation of highly customized or complex charts that require specific coding solutions, which can be a limitation for advanced users.
  • Potential Performance Issues
    Depending on how the platform is built, performance issues may arise with large datasets or complex operations that it is not optimized to handle.
  • Dependency on Platform
    Relying heavily on a third-party tool may pose risks if the platform goes down, changes its pricing model, or discontinues certain features.
  • Integration Challenges
    May face difficulties integrating with other tools or systems, especially if it doesn’t provide sufficient API or export options.
  • Learning Curve for Complex Features
    While basic features may be easy to use, more advanced features might still require some learning, which could be challenging for non-technical users.

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

No Code Chart videos

No No Code Chart videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Plotly and No Code Chart)
Data Visualization
100 100%
0% 0
Data Dashboard
88 88%
12% 12
Charting Libraries
90 90%
10% 10
Web App
0 0%
100% 100

User comments

Share your experience with using Plotly and No Code Chart. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and No Code Chart

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.

No Code Chart Reviews

We have no reviews of No Code Chart yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than No Code Chart. While we know about 33 links to Plotly, we've tracked only 1 mention of No Code Chart. 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.

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

No Code Chart mentions (1)

  • Create a chart and paste it to your website
    Nocodechart.xyz, no-code solution to create charts and add it to your website. Source: about 4 years ago

What are some alternatives?

When comparing Plotly and No Code Chart, you can also consider the following products

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.

Styled chart - Create beautiful charts with styled-components

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

AnyChart - Award-winning JavaScript charting library & Qlik Sense extensions from a global leader in data visualization! Loved by thousands of happy customers, including over 75% of Fortune 500 companies & over half of the top 1000 software vendors worldwide.

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

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