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Plotly VS Calculist

Compare Plotly VS Calculist and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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Plotly logo Plotly

Low-Code Data Apps

Calculist logo Calculist

The open-source, web-based thinking tool that facilitates effective thinking for solving problems.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Calculist Landing page
    Landing page //
    2023-05-10

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.

Calculist features and specs

  • User-Friendly Interface
    Calculist offers an intuitive and easy-to-use interface that makes organizing tasks and managing information straightforward for users of all levels.
  • Flexible Structure
    The platform's flexible structure allows users to create customizable lists and outline information in a way that fits their personal workflow.
  • Cross-Platform Availability
    Calculist is available on multiple platforms, enabling users to access their information seamlessly across devices.
  • Real-Time Collaboration
    The tool supports real-time collaboration, allowing teams to work together and keep their data synchronized efficiently.

Possible disadvantages of Calculist

  • Limited Features
    Compared to more established productivity tools, Calculist may have fewer features and integrations, which could be a limitation for some users.
  • Pricing Model
    Depending on the pricing model, some users might find it expensive or not cost-effective for the features provided.
  • Learning Curve
    Despite its user-friendly design, new users might still experience a learning curve to fully utilize all of Calculist’s capabilities.
  • Reliability Concerns
    As a newer platform, users might encounter reliability issues or bugs that can affect productivity.

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

Calculist videos

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

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Category Popularity

0-100% (relative to Plotly and Calculist)

Plotly

Calculist

Data Visualization
100 100%
Data Visualization
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Advanced Calculator
0 0%
Advanced Calculator
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 Calculist

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

Calculist Reviews

We have no reviews of Calculist yet.
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Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Calculist. While we know about 33 links to Plotly, we've tracked only 1 mention of Calculist. 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

Calculist mentions (1)

  • Productivity course for people w/ narcolepsy
    I was diagnosed in 2011 and have struggled a lot to stay productive as a software developer. Somewhat ironically, I've also been building productivity software for my entire career (most recently Calculist), and I think that the combination of those two things puts me in a unique position to help my fellow people with narcolepsy. Source: almost 4 years ago

What are some alternatives?

When comparing Plotly and Calculist, 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.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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

BeakerX - Open Source Polyglot Data Science Tool

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

Kajero - Interactive JavaScript notebooks - create good-looking, responsive, interactive documents.

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