Software Alternatives, Accelerators & Startups

Plotly VS Losant

Compare Plotly VS Losant 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.

Plotly logo Plotly

Low-Code Data Apps

Losant logo Losant

Losant makes building connected experiences and solutions easy.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Losant Landing page
    Landing page //
    2023-09-14

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.

Losant features and specs

  • Comprehensive IoT Platform
    Losant provides an integrated suite of tools for IoT application development, including data collection, processing, and visualization, making it easier for users to manage their IoT solutions from a single platform.
  • User-Friendly Interface
    The platform offers a visually intuitive drag-and-drop interface, which simplifies the process of building IoT applications and workflows, even for users with limited coding experience.
  • Scalability
    Losant is designed to handle projects of various sizes, from small-scale prototypes to large-scale deployments, providing flexibility as your IoT needs grow.
  • Real-Time Data Processing
    The platform supports real-time data processing and analytics, enabling users to gain immediate insights and react quickly to changes in their IoT system.
  • Integration Capabilities
    Losant supports integrations with a wide range of third-party services and devices, which enhances its utility and allows users to leverage existing technologies and infrastructure.
  • Strong Security Features
    The platform places a strong emphasis on security, offering features such as end-to-end encryption, secure device authentication, and comprehensive access controls to protect your IoT data.

Possible disadvantages of Losant

  • Pricing
    While Losant offers a free tier, its more advanced features and higher usage plans can become costly, which may be a consideration for small businesses or individual developers with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with mastering all of Losant's features and capabilities, particularly for users who are new to IoT development.
  • Dependency on Internet Connectivity
    As a cloud-based platform, Losant's performance and reliability are dependent on internet connectivity, which can be a limitation in areas with unstable or limited internet access.
  • Limited Offline Capabilities
    Losant primarily operates in the cloud, and its offline capabilities are relatively limited compared to platforms that offer robust edge computing features.
  • Platform Lock-In
    Using a proprietary platform like Losant can lead to vendor lock-in, where migrating to another platform or service in the future may require significant effort and resources.

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 Losant

Overall verdict

  • Yes, Losant is generally considered a good option for IoT development due to its comprehensive feature set, ease of use, and flexibility in handling diverse IoT projects.

Why this product is good

  • Losant is a versatile IoT platform known for its user-friendly design, powerful features, and ability to integrate with various devices and data sources. It offers an intuitive workflow engine, real-time data visualization, and edge computing capabilities, making it suitable for both developers and enterprise solutions. The platform's scalability and robust set of APIs allow for building complex IoT applications efficiently.

Recommended for

  • IoT developers
  • Enterprise solutions
  • Data scientists
  • Product managers
  • Organizations looking for scalable IoT platforms
  • Experts needing real-time data visualization
  • Teams interested in edge computing solutions

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

Losant videos

Losant Internet of Things: Builder Kit [1/3]

More videos:

  • Review - Use Losant to Track NHL Stats Without Writing a Line of Code
  • Review - Call a Particle Function from a Losant Dashboard

Category Popularity

0-100% (relative to Plotly and Losant)
Data Visualization
100 100%
0% 0
IoT Platform
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Data Dashboard
32 32%
68% 68

User comments

Share your experience with using Plotly and Losant. 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 Losant

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 thatโ€™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.

Losant Reviews

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

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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 (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    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 / 4 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 / about 2 years ago
View more

Losant mentions (0)

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

What are some alternatives?

When comparing Plotly and Losant, 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.

Hologram.io - Cellular IoT connectivity that powers innovation

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

Cisco Jasper - Jasper provides a SaaS IoT platform to enable companies of all sizes to launch, manage and monetize IoT services on a global scale.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

C3 IoT - C3 IoT enables energy companies to realize the full benefit of their IoT and system investments.