pip install ml-metadata==1.4.0

A library for maintaining metadata for artifacts.

Source
Among top 1000 packages on PyPI.
Over 3.1M downloads in the last 90 days.

Commonly used with ml-metadata

Based on how often these packages appear together in public requirements.txt files on GitHub.

tensorflow-serving-api

TensorFlow Serving Python API.

tfx-bsl

tfx_bsl (TFX Basic Shared Libraries) contains libraries shared by many TFX (TensorFlow eXtended) libraries and components.

tfx

TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google

google-cloud-dlp

Cloud Data Loss Prevention (DLP) API API client library

tensorflow-model-analysis

A library for analyzing TensorFlow models

tensorflow-transform

A library for data preprocessing with TensorFlow

yamale

A schema and validator for YAML.

tensorflow-data-validation

A library for exploring and validating machine learning data.

keras-tuner

Hypertuner for Keras

tensorflow-metadata

Library and standards for schema and statistics.

grpcio-gcp

gRPC extensions for Google Cloud Platform

kfp-server-api

Kubeflow Pipelines API

google-cloud-videointelligence

Google Cloud Video Intelligence API client library

opt-einsum

Optimizing numpys einsum function

strip-hints

Function and command-line program to strip Python type hints.

tensorboard-plugin-wit

What-If Tool TensorBoard plugin.

papermill

Parametrize and run Jupyter and nteract Notebooks

argo-models

Generated openapi models for Argo objects.

astunparse

An AST unparser for Python

Version usage of ml-metadata

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.28.0

35.56%

0.29.0

19.25%

0.30.0

14.44%

0.27.0

14.16%

0.26.0

8.06%

1.2.0

2.03%

0.25.1

1.39%

0.23.0

1.35%

0.24.0

1.13%