evidently VS ml-pipeline-engineering

Compare evidently vs ml-pipeline-engineering and see what are their differences.

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b (by evidentlyai)

ml-pipeline-engineering

Best practices for engineering ML pipelines. (by bodywork-ml)
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evidently ml-pipeline-engineering
10 2
4,557 36
4.2% -
9.5 0.0
about 7 hours ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

evidently

Posts with mentions or reviews of evidently. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-11.

ml-pipeline-engineering

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

We haven't tracked posts mentioning ml-pipeline-engineering yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing evidently and ml-pipeline-engineering you can also consider the following projects:

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

MLflow - Open source platform for the machine learning lifecycle

whylogs - An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

dvc - 🦉 ML Experiments and Data Management with Git

nannyml - nannyml: post-deployment data science in python

flight-delay-notebooks - Analyzing flight delay and weather data using Elyra, IBM Data Asset Exchange, Kubeflow Pipelines and KFServing

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

bodywork-pipeline-with-aporia-monitoring - Integrating Aporia ML model monitoring into a Bodywork serving pipeline.

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!