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Which is more popular?
Based on our record, Google App Engine
seems to be a lot more popular than python xlrd.
While we know about 33 links to Google App Engine,
we've tracked only 2 mentions of python xlrd.
social mentions
2 vs 33
Application Builder popularity
100% vs 0%
alternatives listed
12 vs 240+
Base details
Website, pricing, platforms and company facts side by side.
Simplicity xlrd provides a straightforward and easy-to-use API for reading Excel files, making it accessible for beginners and quick implementations.
Widely Used xlrd has been a popular choice for handling Excel files in Python, which means there is a lot of available documentation and community support.
Efficient Reading It is optimized for reading data from Excel files without loading entire data into memory, which is beneficial for handling large files.
Possible disadvantages
No Write Support xlrd is designed solely for reading, and it does not support writing or modifying Excel files.
Limited to Older Excel Formats With version 2.0 and above, xlrd only supports the older .xls Excel file format and does not support .xlsx files.
Deprecated Features Due to changes in dependencies and updates to Excel formats, some features in xlrd have become deprecated or removed, which can limit its functionality.
Auto-scaling Google App Engine automatically scales your application based on the traffic it receives, ensuring that your application can handle varying workloads without manual intervention.
Managed environment App Engine provides a fully managed environment, covering infrastructure management tasks like server provisioning, patching, monitoring, and managing app versions.
Integrated services Seamlessly integrates with other Google Cloud services such as Datastore, Cloud SQL, Pub/Sub, and more, offering a comprehensive ecosystem for building and deploying applications.
Multiple languages support Supports multiple programming languages including Java, Python, PHP, Node.js, Go, Ruby, and .NET, giving developers flexibility in choosing their preferred language.
Security Offers robust security features including Identity and Access Management (IAM), Cloud Identity, and automated security updates, which help protect your applications from vulnerabilities.
Developer productivity App Engine allows rapid development and deployment, letting developers focus on writing code without worrying about infrastructure management, thus boosting productivity.
Versioning Supports versioning of applications, allowing multiple versions of the application to be hosted simultaneously, which helps in A/B testing and rollback capabilities.
Possible disadvantages
Cost While you pay for what you use, costs can escalate quickly with high traffic or resource-intensive applications. Detailed cost prediction can be challenging.
Vendor lock-in Relying heavily on Google App Engine's proprietary services and APIs can make it difficult to migrate applications to other platforms, leading to vendor lock-in.
Limited control Being a fully managed service, App Engine provides limited control over the underlying infrastructure which might be a limitation for certain advanced use cases.
Environment constraints Certain restrictions and limitations are imposed on the runtime environment, such as request timeout limits and specific resource quotas, which can affect application performance.
Complex debugging Debugging issues in a highly abstracted managed environment can be more complex and difficult compared to traditional server-hosted applications.
Cold start latency Serverless environments like App Engine can suffer from cold start latency, where the initial request triggers a delay as the environment spins up resources.
Configuration complexity Despite its benefits, configuring and optimizing App Engine for specific scenarios can be more complex than expected, requiring a steep learning curve.
Analysis
An editorial look at what each product does well and who it suits.
python xlrdGoogle App Engine
No analysis of python xlrd yet.
Overall verdict
Google App Engine is generally considered a good choice for developers looking for a serverless platform to deploy their applications quickly without managing underlying infrastructure. Its ease of use, scalability, and integration with Google's ecosystem make it a strong option, especially for projects expecting to scale significantly or require integration with other Google Cloud services.
Why this product is good
Google App Engine is a fully managed serverless platform that allows developers to build scalable web applications and mobile backends. It abstracts away infrastructure management, handles scaling automatically, and offers integration with other Google Cloud services, providing a high degree of flexibility and efficiency. Its key strengths include support for multiple programming languages, built-in security features, and seamless connectivity to Google's machine learning and data analytics tools.
Recommended for
Google App Engine is recommended for developers building web applications who prefer a Platform as a Service (PaaS) model, startups who need a solution that can grow with them without worrying about scaling issues, teams wanting to leverage Google's robust data and analytics offerings, and businesses that require a global reach with reliable performance.
Google App Engine is fast, easy, but not that very cheap. The pricing is reasonable, and it comes with a free tier, which is great for small projects that are right for beginner developers who want to quickly set up...
AppScale is open source Google App Engine and allows you to run your GAE applications on any infrastructure, anywhere that makes sense for your business. AppScale eliminates lock-in and makes your GAE application...
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
python xlrd2 mentionsGoogle App Engine33 mentions
I need to read multiple excel files, extract a column from each and compose a new file
So to get this out of the way first, xlrd has less features than openpyxl and in addition only works with the old '.xls' format, not the newer '.xlsx' format. Even on the xlrd's Github repo it says: 'Please use openpyxl where you can... '.
Source:
over 4 years ago
Sending Bulk SMS using Africas Talking, Python and Excel
There are few alternative libraries for reading and writing excel files: Pandas,
Xlrd , openpyxl among others. In the end I settled for openpyxl as I had the most experience
Using it and it had support for .xlsx files.
- Source: dev.to
/
over 5 years ago
Google App Engine (GAE) -- the "OG" serverless platform that launched back in 2008 & somewhat modernized in 2018; uses customized, proprietary containers, free static file edge-caching, and generous outbound networking free tier.
- Source: dev.to
/
12 months ago
If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined,...
- Source: dev.to
/
almost 2 years ago
Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Compare Salesforce Platform to python xlrd or Google App Engine:
Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
Compare Heroku to python xlrd or Google App Engine:
Ionic
Flutter
python pillow
Telerik
python docx
Material UI
bokeh python
Salesforce Platform
Heroku
Dokku
AWS Lambda
AWS Elastic Beanstalk
Google Cloud Functions
Azure Web Apps
