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Plotly VS TABLUM.IO

Compare Plotly VS TABLUM.IO and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

TABLUM.IO logo TABLUM.IO

A versatile online SQL editor to query, visualize, share data loaded from databases and files.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • TABLUM.IO Landing page
    Landing page //
    2023-05-06

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.

TABLUM.IO features and specs

  • User-Friendly Interface
    TABLUM.IO features an intuitive and easy-to-navigate interface, making it accessible for users of various technical proficiencies.
  • Comprehensive Data Visualization
    Offers a wide range of visualization options that help users create clear and insightful representations of their data.
  • Scalability
    Designed to scale efficiently with growing data needs, making it suitable for both small and large datasets.
  • Integration Capabilities
    Provides seamless integration with various data sources, facilitating easier data import and management.
  • Cloud-Based Accessibility
    Being cloud-based, it allows users to access their data and tools from anywhere, promoting flexibility and remote collaboration.

Possible disadvantages of TABLUM.IO

  • Cost
    The pricing structure might be high for small businesses or individual users, presenting a financial barrier.
  • Learning Curve for Advanced Features
    While basic functions are easy to use, more advanced features might require a substantial learning curve for those unfamiliar.
  • Limited Offline Functionality
    As a cloud-based solution, functionality is limited or non-existent without an internet connection.
  • Data Privacy Concerns
    Hosting sensitive data on cloud platforms may raise privacy and security concerns for certain users or organizations.
  • Dependent on Internet Connectivity
    Reliance on stable internet connectivity can be a limitation for users in areas with poor network availability.

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

+ Add

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

TABLUM.IO videos

No TABLUM.IO videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and TABLUM.IO)

Plotly

TABLUM.IO

Data Visualization
96 96%
Data Visualization
4% 4
Productivity
0 0%
Productivity
100% 100
Data Dashboard
91 91%
Data Dashboard
9% 9
Charting Libraries
100 100%
Charting Libraries
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 TABLUM.IO

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

TABLUM.IO Reviews

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

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than TABLUM.IO. While we know about 33 links to Plotly, we've tracked only 3 mentions of TABLUM.IO. 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 / 6 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 / 8 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 / 10 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 / over 1 year 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: almost 2 years ago
View more

TABLUM.IO mentions (3)

  • Data transformation tools other than DBT
    For the data loaded from the raw and unstructured data sources (RESTful APIs, files, feeds) I'd recommend checking tablum.io. The data first gets into the staging SQL DB where you can apply transformations in SQL (ClickHouse dialect with hundreds of ready-to-use functions for aggregations, transformations, string and array processing, etc). After that, you can set up a pipeline to external DWH or DB. Or just... Source: over 2 years ago
  • Hi All. Question about ETL
    Fairly easy to parse it with Python (or any other scripting languages that support regular expressions). Besides, there're no-code parsers that can do that. E.g. tablum.io, it has a regexp parser that turns poorly formatted text into an SQL table. All you need it is to provide the regular expression (regexp) to split the text (per-line basis or the entire text) into chunks that become SQL rows and columns, after... Source: over 2 years ago
  • Data ingestion product questions
    You're right. There should be some way to safely pass the authentication token without storing it in the query. BTW, to keep all data within the company network perimeter and no share any keys with the cloud service, one can install tablum.io as a self-hosted version on a Linux server (it runs in Docker). Source: over 2 years ago

What are some alternatives?

When comparing Plotly and TABLUM.IO, 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.

Notion SQL Learning - Are you looking for a way to save time and fast-track your SQL learning?

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

PCPartPicker - By offering its users with multiple buying guides, this PC building website basically assist its users in building their own PC and give them ideas for creating ideal PC.

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

Marple - Data analysis platform for engineering teams. Organise, find and visualise test and measurement data

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