Software Alternatives, Accelerators & Startups

Plotly VS WeLoveNoCode

Compare Plotly VS WeLoveNoCode and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

WeLoveNoCode logo WeLoveNoCode

Need landing page in Webflow, web-platform in Bubble, mobile app in Adalo or an automation in Zapier? Don't spend time on learning NoCode platforms.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • WeLoveNoCode Landing page
    Landing page //
    2023-05-13

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.

WeLoveNoCode features and specs

  • Rapid Development
    WeLoveNoCode allows for faster project development and iteration, reducing the time needed to launch a product.
  • Cost-Effective
    No-code platforms often reduce the need for highly specialized, expensive developers, lowering overall project costs.
  • Accessibility
    Enables non-technical users to build and maintain software, broadening the range of individuals who can participate in development.
  • Flexibility
    Users can easily modify and update their applications without needing to reskill or hire additional developers.
  • Support & Community
    WeLoveNoCode offers customer support and access to a community of users and experts who can provide assistance and share best practices.

Possible disadvantages of WeLoveNoCode

  • Scalability Issues
    No-code solutions might struggle with scaling complexities as projects grow, potentially requiring a custom-coded solution eventually.
  • Limited Customization
    No-code platforms might not offer the same level of customization and fine-tuning that custom coding allows.
  • Vendor Lock-in
    Users may find themselves dependent on the WeLoveNoCode platform, making it difficult to switch providers or export projects to other environments.
  • Performance Constraints
    Applications built with no-code tools may not perform as optimally as those custom-built with traditional code, especially for complex functionalities.
  • Security Concerns
    Using a third-party platform for development can introduce security vulnerabilities, as the users rely on the platform's security measures.

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.

Analysis of WeLoveNoCode

Overall verdict

  • WeLoveNoCode is a viable solution for businesses looking to leverage no-code development for their projects. Its network of developers and focus on no-code tools provide a flexible, cost-effective, and rapid development process, making it a beneficial choice for many.

Why this product is good

  • WeLoveNoCode is considered good because it offers a platform that connects businesses with skilled no-code developers to quickly and efficiently build applications without traditional coding. This approach reduces development time and costs, making it accessible for startups and businesses lacking a technical team. The platform also provides access to a wide array of no-code tools and experts, ensuring high-quality and diverse project outcomes.

Recommended for

  • Startups needing rapid MVP development without the resources for a full technical team.
  • Small to medium-sized enterprises seeking cost-effective development solutions.
  • Entrepreneurs and business owners with limited technical knowledge but needing to build custom applications quickly.
  • Project managers interested in exploring the capabilities of no-code platforms to enhance efficiency.

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

WeLoveNoCode videos

How WeLoveNoCode works

More videos:

  • Review - WeLoveNoCode Explainer

Category Popularity

0-100% (relative to Plotly and WeLoveNoCode)
Data Visualization
100 100%
0% 0
No Code
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Education
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 Plotly and WeLoveNoCode

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.

WeLoveNoCode Reviews

We have no reviews of WeLoveNoCode yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly should be more popular than WeLoveNoCode. It has been mentiond 33 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.

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 / 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 / 5 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 / 12 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

WeLoveNoCode mentions (10)

  • $10k Prizes: First ever Bubble AI Hackathon this Saturday
    Hi Community! We are organising the first-ever Virtual Bubble AI Hackathon this Saturday (July 8th) with $10k In Prizes Hosted by welovenocode.com, this hackathon is specifically designed for Bubble developers who want to try their skills in AI The event kicks off on July 8th 2023, at 10:00 AM PST and runs through July 9th, 2023, until 10:00 PM PST. Source: almost 2 years ago
  • Looking for NoCode Developers
    Anyone interested, please DM me or sign up directly on our site: welovenocode.com! Source: almost 3 years ago
  • Sharing our Growth Project template + Guide (Tilda + Typeform + ConvertKit) to attract new leads
    Hi all, this is Stepan from WeLoveNoCode. Thinking about how to attract new leads? Take a free template that gave us thousands of new leads and hundreds of customers. This complete guide is 100% built on our own experience of launching lots of growth activities to attract new leads and customers. Source: about 3 years ago
  • When you need to get money from investors... A To-Do list that helped me fundraise $1M
    That allows us to keep the quality of skills, which people are bringing, and the quality of the work output. For every project, we have an internal review, so we are 100% sure that we are delivering what we promised. WeLoveNoCode is a platform to find a no-code developer in one click, share a project and get it developed in weeks. So for us this "dev quality" question is actually critical. Source: over 3 years ago
  • Can You Build Your SAAS with Bubble?
    If you would like to save time and speed up your development process, you can read our guide on how to hire a Bubble io developer or work with vetted developers from WeLoveNoCode. Source: over 3 years ago
View more

What are some alternatives?

When comparing Plotly and WeLoveNoCode, 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.

No Code Founders - The No Code discovery platform

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

NoCode.tech - Free tools & resources for non-tech makers and entrepreneurs

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

No Code MBA - Learn to build real apps and websites. All without code.