Software Alternatives, Accelerators & Startups

Plotly VS ios-linechart

Compare Plotly VS ios-linechart and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

ios-linechart logo ios-linechart

ios-linechart provides interactive line charts for iOS.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • ios-linechart Landing page
    Landing page //
    2023-07-31

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.

ios-linechart features and specs

  • Ease of Use
    The library offers an easy-to-use interface for creating line charts, making it accessible for developers with varying levels of experience in iOS development.
  • Customization
    It provides a range of customization options, allowing developers to tailor the appearance and behavior of charts to fit specific application needs.
  • Open Source
    Being open source, it allows developers to contribute to its improvement, inspect the source code, and build upon it if necessary.
  • Integration
    The library is designed to integrate smoothly with iOS applications, ensuring that adding charts to apps can be done with minimal disruption.

Possible disadvantages of ios-linechart

  • Limited Features
    Compared to more comprehensive charting libraries, ios-linechart may offer fewer features and capabilities, which could be a limitation for complex data visualization needs.
  • Maintenance
    Depending on the activity of the maintainers and contributors, there may be periods of inactivity or delays in addressing issues and updating the library.
  • Performance
    For applications requiring intensive data visualization, the library's performance might not match that of some optimized commercial alternatives.
  • Documentation
    The quality and comprehensiveness of the documentation may not be on par with larger, more established libraries, potentially leading to implementation challenges for some developers.

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.

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

ios-linechart videos

No ios-linechart videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and ios-linechart)
Data Visualization
94 94%
6% 6
Charting Libraries
89 89%
11% 11
Data Dashboard
91 91%
9% 9
Business Intelligence
100 100%
0% 0

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 ios-linechart

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.

ios-linechart Reviews

We have no reviews of ios-linechart yet.
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Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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 / 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 / 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

ios-linechart mentions (0)

We have not tracked any mentions of ios-linechart yet. Tracking of ios-linechart recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and ios-linechart, 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.

Google Charts - Interactive charts for browsers and mobile devices.

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

OrgWeaver - OrgWeaver is a cloud-based organizational chart software.

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

AndroidPlot - AndroidPlot is a library for creating dynamic and static charts in your Android app.