SST VS Thanks (for Python)

Compare SST VS Thanks (for Python) and see what are their differences

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Thanks (for Python)

A Python tool for giving back to the packages we use.

Landing page //
2023-08-27

Landing page //
2023-09-16

SST features and specs

Ease of Use
SST is designed to simplify the process of building serverless applications, providing developers with higher-level abstractions and tools that streamline development.
Integration with AWS
SST is well-integrated with AWS services, allowing developers to leverage the full power of AWS infrastructure while maintaining a focus on serverless architecture.
Live Lambda Development
SST supports live Lambda development, enabling developers to make real-time changes and see them reflected immediately without the need for lengthy deployment processes.
Infrastructure as Code
With SST, developers can define their infrastructure programmatically, which promotes version control, scalability, and collaboration among team members.
Flexibility
SST provides flexibility to developers, allowing them to use popular libraries and frameworks alongside serverless components, thus accommodating various use cases.

Possible disadvantages of SST

Learning Curve
Developers unfamiliar with SST and its abstractions may face a learning curve in understanding how to effectively use the toolkit and take full advantage of its features.
AWS Lock-in
As SST is tightly integrated with AWS services, it can lead to vendor lock-in, making it challenging for organizations to switch to other cloud providers in the future.
Complexity for Small Projects
For smaller projects, the overhead introduced by SST's abstractions and tooling might be unnecessary, adding complexity without significant benefits.
Dependency on Community Support
SST relies on community support for maintenance and feature development, which could pose a risk if the community's interest wanes or if support does not keep pace with AWS innovations.

Thanks (for Python) features and specs

No features have been listed yet.

Analysis of Thanks (for Python)

Overall verdict

Thanks is a lightweight, useful utility for Python developers who want to automatically credit open-source dependencies, making it a good niche tool though not a mainstream necessity.

Why this product is good

Automatically generates attribution and license acknowledgments for dependencies used in a project
Simple and easy to integrate into existing Python workflows
Encourages good open-source citizenship by crediting maintainers and libraries
Lightweight tool with minimal setup and configuration required
Open-source itself, allowing community contributions and transparency

Recommended for

Python developers who want to give proper credit to open-source library maintainers
Teams maintaining compliance or attribution requirements for open-source usage
Open-source project maintainers looking to foster a culture of appreciation
Developers building README or documentation sections crediting dependencies

SST videos

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Thanks (for Python) videos

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Category Popularity

0-100% (relative to SST and Thanks (for Python))

Thanks (for Python)

Developer Tools

94 94%

Developer Tools

6% 6

Crowdfunding

0 0%

Crowdfunding

100% 100

Open Source

100 100%

Open Source

0% 0

Software Engineering

100 100%

Software Engineering

0% 0

User comments

Share your experience with using SST and Thanks (for Python). For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, SST seems to be more popular. It has been mentiond 31 times since March 2021. 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.

SST mentions (31)

Best/low maintenance devops toolchain for basic sass?
After researching all night, https://github.com/serverless-stack/sst seems like a good trade off between flexibility, simplicity and features. Source: over 3 years ago
Dynamodb design with Appsync
I use https://github.com/serverless-stack/serverless-stack — not the serverless project. This one is far better. Source: over 4 years ago
A magical AWS serverless developer experience
That said: SST is open source, so you could maybe somehow reimplement their debug stack which is the websockets magic + the Lambda shim in terraform to get it working... Source: over 4 years ago
Anti-Patterns to Avoid in Lambda Based Apps
If you are using CDK then check out SST: https://github.com/serverless-stack/serverless-stack It's based on CDK and has a great local development environment for Lambda. It allows you to set breakpoints and test it locally: https://serverless-stack.com/examples/how-to-debug-lambda-functions-with-visual-studio-code.html. - Source: Hacker News / almost 5 years ago
Introducing Serverless Cloud: AWS Serverless Power for Back-Ends—Without the Complexity
I'll just plug what we built, SST: https://github.com/serverless-stack/serverless-stack. Source: almost 5 years ago