Turn any Google sheet into an API instantly, for free. Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime. Neat
KindProxy offers rotating residential and static ISP proxies across 198+ countries and regions. Featuring HTTP(S) and SOCKS5 support, sticky sessions, and city and ASN targeting, it's ideal for web scraping, SEO monitoring, market research, ad verifi
sponsored
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
should be more popular than Sheety.
It has been mentioned 34 times since March 2021.
social mentions
34 vs 11
Data Visualization popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
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.
Easy integration Sheety offers simple and straightforward APIs that allow users to convert Google Sheets into RESTful APIs, facilitating quick integration into various applications.
Cost-effective Sheety provides a free tier with essential features, making it a cost-effective solution for small projects or startups with limited budgets.
No-code solution Sheety allows non-developers to connect their Google Sheets data to other apps without requiring any coding knowledge.
Automation capabilities Users can automate workflows by integrating Sheety with other tools like Zapier, improving productivity and reducing manual tasks.
Real-time updates Changes in the Google Sheets are reflected almost instantly in the API endpoints, ensuring data is always up-to-date.
Possible disadvantages
Limited scalability For larger projects with complex needs, Sheety’s features may not be sufficient, requiring users to invest in more robust data management solutions.
Privacy concerns Sharing sensitive information via Sheety's API can be risky if proper authentication and data security measures are not in place.
Dependency on Google Sheets Sheety relies heavily on Google Sheets, so any limitations or downtime of Google Sheets directly impacts the functionality of Sheety.
API rate limits The service may have API rate limits that could restrict high-frequency data updates or extensive CRUD operations, posing challenges for data-intensive applications.
Analysis
An editorial look at what each product does well and who it suits.
PlotlySheety
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
Sheety is considered good for simplifying the process of using spreadsheets as a backend service. Its ease of use, especially for those unfamiliar with traditional development environments, makes it a practical solution for specific use cases.
Why this product is good
Sheety is a useful tool for those looking to turn their Google Sheets into a simple RESTful API. It offers a straightforward way to integrate spreadsheets with other applications, making it a good choice for prototyping, small projects, or integrating data without handling complex backend setups.
Recommended for
Non-developers looking for an easy way to create a backend for their applications.
Developers who need to quickly prototype applications with spreadsheet data.
Small teams or startups who want to leverage existing Google Sheets data without setting up a complex database.
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.
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...
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...
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
/
8 months ago
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
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
/
almost 2 years ago
Neat! This seems very similar to Sheety[0], which I've used a bunch of times before (and found a few bugs...). Do you have any plans to open source? [0]https://sheety.co.
- Source: Hacker News
/
over 2 years ago
You can just use retool alone or if you still want to use bubble maybe the easiest way would be to use https://sheety.co.
Source:
over 3 years ago
My mom have a little business and she do all on an excel, is there any way to create her a web page directly connected to a google sheets?
Well there’s https://sheety.co that provides an api to write to google sheets. You just need to set up the fetch mechanism on your web page.
Source:
almost 4 years ago
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Sheetsu
Sheet 2 Site
SheetBest
Sheetson
Bubble.io
SheetDB
Airtable
