Algorithmia VS SST
Compare Algorithmia VS SST and see what are their differences
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Algorithmia
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Algorithmia SSTAlgorithmia is recommended for data scientists, machine learning engineers, and developers who need a flexible and scalable environment to deploy, manage, and share AI and machine learning models. It is particularly suitable for teams seeking to collaborate and leverage pre-built algorithms from a community-driven marketplace. Businesses looking to integrate machine learning capabilities into their operations without extensive infrastructure management will also benefit from Algorithmia's offerings.
Based on our record, SST should be more popular than Algorithmia. 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.
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 4 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 4 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 4 years ago
Seems similar to https://algorithmia.com. Source: over 4 years ago
Algorithmia.com โ Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 5 years ago
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
I use https://github.com/serverless-stack/serverless-stack โ not the serverless project. This one is far better. Source: over 4 years ago
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
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 / over 4 years ago
I'll just plug what we built, SST: https://github.com/serverless-stack/serverless-stack. Source: almost 5 years ago
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