Plotly VS Gnumeric

Compare Plotly VS Gnumeric and see what are their differences

Rating: 0 reviews

Rating: 0 reviews

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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.

Which is more popular?

Based on our record, Plotly seems to be a lot more popular than Gnumeric. While we know about 34 links to Plotly, we've tracked only 2 mentions of Gnumeric.

social mentions: 34 vs 2
Data Visualization popularity: 100% vs 0%
alternatives listed: 240+ vs 62

Base details

Website, pricing, platforms and company facts side by side.

	Plotly	Gnumeric
Website	plotly.com	gnumeric.org
Pricing	Official pricing	—
Listed in	Application And Data Developer Tools App Development App Deployment Data Visualization Low Code +3	Office Suites Spreadsheets Project Management Databases +1

Features and specs

What each product offers, as listed by its team.

Plotly 6 features

Gnumeric 4 features

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

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.

Lightweight
Gnumeric is known for being lightweight and faster to load compared to other spreadsheet software like Microsoft Excel or LibreOffice Calc, making it ideal for users with older hardware or for those who need quick access to spreadsheets.
Accuracy
Gnumeric is renowned for its calculation accuracy, often outperforming other spreadsheet programs in complex mathematical computations, which is beneficial for users who require precise numerical results.
Open Source
Being an open-source application, Gnumeric allows users to modify and distribute the software according to the GPL license, fostering a community of contributors and enabling transparency and customizability.
Compatibility
Gnumeric supports a wide range of file formats, including Excel (.xls and .xlsx), allowing users to open and save documents in these formats which ensures interoperability with other spreadsheet tools.

Possible disadvantages

Limited Features
While Gnumeric covers most basic and advanced spreadsheet functionalities, it lacks some of the more sophisticated features found in Excel or Google Sheets, such as advanced data visualization tools and certain analytic functions.
User Interface
The user interface of Gnumeric may seem outdated or less intuitive compared to modern spreadsheet applications, which might not appeal to users accustomed to more polished UIs.
Ecosystem Integration
Gnumeric does not integrate as seamlessly into productivity ecosystems compared to solutions like Microsoft Excel, which benefits from integration with other Microsoft Office applications.
Community Support
Although Gnumeric is open-source, the community is smaller compared to bigger suites like LibreOffice or Microsoft Office, which might limit the availability of tutorials, forums, and third-party support resources.

Analysis

An editorial look at what each product does well and who it suits.

Plotly

Gnumeric

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.

Overall verdict

Gnumeric is a good choice for users who need a reliable, fast, and accurate spreadsheet tool, particularly for complex calculations and data analysis. It may lack some advanced features found in mainstream commercial products, but it makes up for this with its precision and performance.

Why this product is good

Gnumeric is a free and open-source spreadsheet application that is part of the GNOME Free Software Desktop Project. It is highly regarded for its accuracy, especially in statistical operations, and it offers a wide range of features comparable to other spreadsheet software like Microsoft Excel. Gnumeric is lightweight, which makes it fast and efficient, and it supports various file formats, including Excel, making it easy to share and collaborate with users of other spreadsheet programs.

Recommended for

Gnumeric is recommended for data analysts, researchers, and students who require a robust spreadsheet application for statistical analysis and computational tasks. It is also suitable for Linux users seeking a native spreadsheet solution, as well as users who prefer open-source software solutions.

Videos

Walkthroughs and reviews on video.

Plotly 5 videos + Add

Gnumeric 3 videos + Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100

Plotly

Gnumeric

100% 100%

0% 0%

100% 100%

0% 0%

100% 100%

User comments

Share your experience with using Plotly and Gnumeric. For example, how are they different and which one is better?

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Plotly no reviews yet

Gnumeric no reviews yet

Best 8 Redash Alternatives in 2023 [In Depth Guide]
www.datapad.io · Apr 2023

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.
5 Best Python Libraries For Data Visualization in 2023
www.technotification.com · Mar 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...
Top 8 Python Libraries for Data Visualization
www.geeksforgeeks.org · Aug 2020

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...

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

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Plotly 34 mentions

Gnumeric 2 mentions

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 / 7 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... - Source: dev.to / over 1 year ago

Ask HN: Why did Visual Basic die?
Gnumeric is actually a good excel. The stats routines are shared with R so if ever someone demonstrates a bug, it is fixed! Free, fast, accurate. Pick any three! http://gnumeric.org. - Source: Hacker News / about 3 years ago
Any Suckless Excel like tool?
I can recommend http://gnumeric.org/. It is really fast, accurate and relative light weight compared to libreoffice calc. Source: over 3 years ago

Alternatives to Plotly and Gnumeric

When comparing Plotly and Gnumeric, 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.

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Microsoft Office Excel
Microsoft Office Excel is a commercial spreadsheet application.

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Google Sheets
Synchronizing, online-based word processor, part of Google Drive.

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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.

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Apple Numbers
Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone — or on a PC using iWork for iCloud. And it’s compatible with Apple Pencil.

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