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|Apache License 2.0||Apache License 2.0|
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Tracking mentions began in Dec 2020.
State of the Art data drift libraries on Python?
3 projects | reddit.com/r/mlops | 24 May 2022
Thank you for your answer. I'm trying it today and the the other libraries mentioned + https://github.com/evidentlyai/evidently
Package for drift detection
2 projects | reddit.com/r/mlops | 6 Apr 2022
The hand-picked selection of the best Python libraries released in 2021
12 projects | reddit.com/r/Python | 21 Dec 2021
[D] 5 considerations for Deploying Machine Learning Models in Production – what did I miss?
3 projects | reddit.com/r/MachineLearning | 21 Nov 2021
Consideration Number #5: For model observability look to Evidently.ai, Arize.ai, Arthur.ai, Fiddler.ai, Valohai.com, or whylabs.ai.
What are some alternatives?
great_expectations - Always know what to expect from your data.
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
ydata-profiling - Create HTML profiling reports from pandas DataFrame objects
MLflow - Open source platform for the machine learning lifecycle
dvc - 🦉Data Version Control | Git for Data & Models | ML Experiments Management
flight-delay-notebooks - Analyzing flight delay and weather data using Elyra, IBM Data Asset Exchange, Kubeflow Pipelines and KFServing
bodywork-pipeline-with-aporia-monitoring - Integrating Aporia ML model monitoring into a Bodywork serving pipeline.
gradio - Create UIs for your machine learning model in Python in 3 minutes
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
whylogs - The open standard for data logging
ml-pipeline-engineering - Best practices for engineering ML pipelines.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.