Xmanager

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XManager is an open-source platform for managing machine learning experiments, enabling users to package, run, and track experiments locally or on Google Cloud Platform (GCP). It provides Python APIs for streamlined ML development workflows.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is xmanager?

XManager is an open-source platform developed by Google DeepMind designed for managing machine learning experiments. It simplifies the process of packaging, running, and tracking ML experiments, whether executed locally or on Google Cloud Platform (GCP). The platform offers Python APIs that allow users to interact with experiments through launch scripts, providing a structured approach to ML development. Key features include defining executable specifications for binaries, containers, and Python modules, as well as executor specifications for running jobs on various platforms like local machines, Vertex AI, or Kubernetes. XManager supports both single jobs and JobGroups for gang scheduling, making it suitable for complex, multi-component experiments. It also facilitates the management of hyperparameters and resource requirements for each job.

Best used for

Ideal for developers and data scientists who need to streamline the lifecycle of machine learning experiments, from packaging code to deploying and tracking results. Especially valuable for those working with Google Cloud Platform or requiring robust experiment management for complex, multi-job ML projects.

Common actions

manage machine learning experiments

deploy ML models

track experiment results

orchestrate ML workflows

face swappinggithub copilot"AI Agents"automated workflowcollaborationopen-sourceworkflowslow-code/no-codedeepfake

Capabilities

Key features

Package ML executables
Run experiments locally
Run experiments on GCP
Track experiment metadata
Define executable specifications
Define executor specifications
Manage job groups

Target Audience

developerdata scientist

Integrations

google-cloud-platformdockerkubernetes

Pricing & Plans

Open Source

Free

FAQs

What platforms does XManager support for running experiments?

XManager allows users to run machine learning experiments locally on their machines or deploy them to Google Cloud Platform (GCP). Specifically, it supports running containers on Vertex AI and Kubernetes, providing flexibility for various deployment needs.

How do I define and run an experiment using XManager?

Experiments are defined using Python launch scripts. You create an experiment context, define executable specifications (e.g., Python containers, binaries), package them, and then add jobs or job groups with specific executors and hyperparameters. The `xmanager launch` command then executes the script.

What are the prerequisites for using XManager?

XManager requires Python 3.9+. For local container execution, Docker is needed. For Bazel-based executables, Bazel is required. If deploying to GCP, a GCP project, gcloud CLI, and enabled Cloud APIs (IAM, Cloud AI Platform, Container Registry) are necessary.

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AI Agents & Automation › AI Frameworks & Infra Productivity & Business › Project Management

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