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What is Evidently AI?

It helps analyze machine learning models during validation or production monitoring. It generates interactive reports or JSON profiles from pandas DataFramesor csv files. The tool currently works with tabular data.
Evidently AI is a tool in the Machine Learning Tools category of a tech stack.
Evidently AI is an open source tool with 1.3K GitHub stars and 100 GitHub forks. Here’s a link to Evidently AI's open source repository on GitHub

Evidently AI Integrations

Evidently AI's Features

  • Quickly visualize model performance and important metrics. Get a prioritized list of issues to debug
  • Compare recent data with the past. Learn which features changed and if key models drivers shifted. Visually explore and understand drift
  • Understand how model predictions and target change over time. If the ground truth is delayed, catch the model decay in advance

Evidently AI Alternatives & Comparisons

What are some alternatives to Evidently AI?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
CUDA
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
See all alternatives
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