nannyml vs cuttle-cli

nannyml

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance. (by NannyML)

#Machine Learning #ML #Mlops #Performance Monitoring #Data Science #Monitoring #Python #data-drift #model-monitoring #Data Analysis #Visualization #Deep Learning #jupyter-notebook #Machinelearning

Source Code

cuttle-cli

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

#Mlops #jupyter-notebook #Python #Nocode

Source Code

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nannyml		cuttle-cli
	Project
4	Mentions	9
1,362	Stars	45
8.1%	Growth	-
9.6	Activity	0.0
3 days ago	Latest Commit	about 1 year ago
Python	Language	Python
Apache License 2.0	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.

nannyml

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

We haven't tracked posts mentioning nannyml yet.
Tracking mentions began in Dec 2020.

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.

Magically generate an API project from your Python notebook without writing extra code
2 projects | reddit.com/r/learnmachinelearning | 3 Jul 2021
Convert a Python Emotion Recognition Notebook into an API without extra code
3 projects | dev.to | 2 Jul 2021

Cuttle Website: cuttle.it Github: Emotion recognition API source Cuttle Source: Cuttle CLI Source

What are some alternatives?

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

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.

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]

evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects

Emotion-Recognition-API

go-unsplash - Go Client for the Unsplash API

deep-significance - Enabling easy statistical significance testing for deep neural networks.

argilla - ✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.

eurybia - ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation

barfi - Python Flow Based Programming environment that provides a graphical programming environment.

cuttle-cli vs fastapi-template

cuttle-cli vs Activeloop Hub

nannyml vs evidently

nannyml vs pandas-profiling