cuttle-cli VS fastapi-template

Compare cuttle-cli vs fastapi-template and see what are their differences.

cuttle-cli

Cuttle automates the transformation of your Python notebook into deployment-ready projects (API, ML pipeline, or just a Python script) (by CuttleLabs)

fastapi-template

Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework. (by 99sbr)
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cuttle-cli fastapi-template
9 3
48 208
- -
0.0 0.0
over 2 years ago over 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

cuttle-cli

Posts with mentions or reviews of cuttle-cli. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-03.

fastapi-template

Posts with mentions or reviews of fastapi-template. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing cuttle-cli and fastapi-template you can also consider the following projects:

nannyml - nannyml: post-deployment data science in python

budgetml - Deploy a ML inference service on a budget in less than 10 lines of code.

Emotion-Recognition-API

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

go-unsplash - Go Client for the Unsplash API

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.