Software Alternatives, Accelerators & Startups

10015.io VS Plotly

Compare 10015.io VS Plotly and see what are their differences

10015.io logo 10015.io

10015.io is an all-in-one toolbox offering many tools from various categories.

Plotly logo Plotly

Low-Code Data Apps
  • 10015.io Landing page
    Landing page //
    2023-02-25
  • Plotly Landing page
    Landing page //
    2023-07-31

10015.io features and specs

  • User-Friendly Interface
    10015.io features a clean and intuitive interface, making it accessible for users of all skill levels.
  • Wide Range of Tools
    The platform provides a diverse set of tools catering to different needs, including graphic and design utilities.
  • No Registration Required
    Users can access the majority of features without the need to create an account, allowing for quick and easy access.
  • Cross-Platform Support
    10015.io is web-based and can be accessed from various devices and operating systems including PCs, tablets, and smartphones.
  • Freemium Model
    The platform offers free access to many services, making it accessible to users who might not want to invest upfront.

Possible disadvantages of 10015.io

  • Limited Advanced Features
    While 10015.io offers a wide range of tools, some advanced features might be unavailable compared to specialized software.
  • Internet Dependency
    Being a web-based service, a stable internet connection is required to use the platform effectively.
  • Privacy Concerns
    Users might have concerns about data privacy, especially if the tools involve uploading personal files to the platform.
  • Advertising and Promotions
    Free usage may come with advertising, which could be distracting to some users.
  • Performance Limitations
    Depending on the user's internet speed and device, the performance of web-based tools might be hindered compared to desktop applications.

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.

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.

10015.io videos

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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

Category Popularity

0-100% (relative to 10015.io and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Online Tools
100 100%
0% 0
Charting 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 10015.io and Plotly

10015.io Reviews

  1. great toolbox

    i added chrome extension of 10015 and it works great. there are lots of web tools and all are free.

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.

Social recommendations and mentions

Based on our record, Plotly should be more popular than 10015.io. 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.

10015.io mentions (12)

  • Show HN: Kody Tools โ€“ I developed 300 tools in 6 months
    More versatile and polished: https://10015.io. - Source: Hacker News / over 3 years ago
  • All Online Tools in โ€œOne Boxโ€
    10015.io is designed and coded by Fatih Telis (me) as a side project. I am a frontend developer based in Istanbul, Turkey. I started this project to build a platform which will work as an all-in-one toolbox while I'm challenging myself to create tools which does many different things. Even though I'm not a professional designer, I'm doing my best to construct a simple, aesthetic and easy-to-use UI system. You can... - Source: dev.to / about 4 years ago
  • Best "Code to Image Converter" on web ๐Ÿง‘โ€๐Ÿ’ป
    We, as software developers, like to share over knowledge throughout our network and one of the most frequent way to do it is to share code screenshots. For making it more attractive, it is popular to use code to image converters where you can add fancy backgrounds and customize the look of code block. I've developed a free tool on 10015.io for converting code blocks into images and it is one of the best on web... - Source: dev.to / over 4 years ago
  • Better Shadow Generator for React Native ๐Ÿ“ฑ
    As a frontend developer who is actively coding an online toolbox (10015.io), this pushed me to develop a better shadow generator for React Native. - Source: dev.to / over 4 years ago
  • โญ• Building biggest CSS loading animation generator (250+ fully customizable loaders)
    I've written a blog post about my online tools project 10015.io recently and got really kind feedbacks from you. I really appreciate your support. Since then, I'm building new tools each and every day. - Source: dev.to / over 4 years ago
View more

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

What are some alternatives?

When comparing 10015.io and Plotly, you can also consider the following products

TinyWow - TinyWow provides free online conversion, pdf, and other handy tools to help you solve problems of all types.

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.

A.Tools - Convenient and Easy-to-use Free Online Tools Collection

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

IT Tools - IT Tools is a free and open-source collection of handy online tools for developers & people working in IT.

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.