tensorflow/ecosystem

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1377 stars · 390 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of templates and connectors for integrating TensorFlow with other open-source frameworks such as Kubernetes, Kubeflow, Spark, Hadoop, and Mesos. It provides Docker configurations, cluster manager templates, and data connectors like the Spark TensorFlow Connector for TFRecord I/O.

Use cases

• run distributed TensorFlow training on Kubernetes
• train TensorFlow models on a Spark cluster
• read and write TFRecord files from Hadoop MapReduce or Spark
• deploy TensorFlow Serving with Docker and Kubernetes templates
• run TensorFlow jobs via Marathon on Mesos
• set up Jupyter images for TensorFlow on Kubeflow

When to choose

• you need to run distributed TensorFlow training on cluster managers like Kubernetes or Mesos
• you want to move data between Spark/Hadoop and TensorFlow via TFRecord
• you need ready-made templates for TensorFlow Serving deployments on Kubernetes

When to avoid

• you use PyTorch or other frameworks instead of TensorFlow
• you want a modern managed training platform rather than templates
• you need active development - the repo is largely in maintenance mode with minimal updates

Facets

library · maturity maintenance

machine-learning container-orchestration etl deployment infrastructure-as-code machine-learning deep-learning big-data cloud-computing microservices python jvm cloud self-hosted tensorflow spark hadoop kubeflow distributed-training mesos marathon tfrecord containers kubernetes docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tensorflow/ecosystem")