OpenViSTAI · Agents · Blockchain · Crypto
Submit a project
Menu
AI Developer Tools & SDKs

Datmo

Datmo is an open-source command-line and Python tool for managing machine-learning experiments and model state in a repository. It can record experiment configuration and results, create snapshots of project files and environment, and help users find and rerun previous experiments.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Datmo — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Datmo when your model-development work already lives in a repository and you want to track experiments and project state through a CLI or Python workflow.

Who it is for

  • Data scientists who want experiment records linked to repository project state.
  • Machine-learning developers seeking to reproduce earlier experiments.

Documented uses

  • Initialize a repository for experiment tracking.
  • Record experiment configuration, results and selected model files.
  • Create and inspect project snapshots.
  • Find and rerun a previous experiment.
Before you choose

Requirements & limits

  • Docker must be installed and running before installation.
  • The documented install command is pip install datmo.
  • Datmo says users sync using their own cloud.
  • The README labels the version alpha and notes that commands may change.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Datmo and initialize a repository

Prepare a repository as a trackable experiment project.

Before you start

  • Docker installed and running
  • pip

Steps

  1. Install Datmo with the command below.

    Documented command
    pip install datmo

  2. Navigate to the project repository.

  3. Run datmo init to initialize it as a trackable experiment record.

Expected outcome

The repository is initialized for Datmo experiment tracking.

Guide limitations

  • The README identifies the current version as alpha and says commands may change.
Documentation 1 ↗
Source-based practical guide

Record a project snapshot

Save project state, including files, configuration and statistics, as a snapshot.

Before you start

  • A Datmo-initialized project
  • A Python training script that imports Datmo

Steps

  1. Add import datmo to the training script.

  2. Prepare configuration and statistics values in the script.

  3. Call datmo.snapshot.create with a message, file paths, configuration and statistics.

Expected outcome

The script records a snapshot containing the specified project files and experiment details.

Guide limitations

  • The example shows snapshot creation from a Python script; it does not document a full deployment workflow.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
datmo/datmo · Official homepage title · retained in its source language
How we review sourcesSuggest a correction