Skip to main content

Merantix Momentum AI Platform client library

Project description

Scaffold Logo

Scaffold Core

Scaffold is the foundational Python package for all AI development at Merantix Momentum. It provides the "scaffolding" to accelerate building, deploying, and orchestrating AI systems on our platform.

This library is opinionated by design. It contains a collection of wrappers, convenience functions, and boilerplate code that enforce our best practices and ensure seamless integration between our most-used tools (like Flyte, PyTorch, and internal platform services).

🚀 Key Features

  • ⚡ Accelerate Development: Reduces boilerplate for common tasks like data handling, configuration management, and model orchestration
  • 🧩 Modular Installation: Install only the dependencies you need using "extras" (e.g., flyte, torch)
  • ⚙️ Standardized: Enforces Merantix Momentum's processes for building and scaling AI projects
  • 🔗 Platform Integration: Provides simple, high-level APIs for interacting with the Merantix Momentum AI Platform

📦 Installation

    pip install mxm-scaffold

The base package is lightweight. You install additional functionality via "extras".

Install the extras you need for your project. For example, to install the Flyte and PyTorch utilities:

    # To use Flyte for orchestration
    pip install mxm-scaffold[flyte]

    # To use PyTorch utilities
    pip install mxm-scaffold[torch]

    # To install everything (common for development)
    pip install mxm-scaffold[all]

Available extras:

  • data: Data handling, datasets, and dataloaders
  • flyte: Utilities for working with Flyte
  • torch: Utilities for working with PyTorch
  • monitoring: Utilities for monitoring training jobs
  • wandb: Utilities for logging to Weights and Biases
  • dev: Dependencies required for development and running tests

📖 Documentation

If you work at Merantix Momentum, you can visit additional documentation via https://docs.scaffold.merantix-momentum.cloud/.

The documentation is built & deployed for the main-branch and tags. Please find more information about documentation here.

Alternatively, build the publicly available documentation locally:

cd scaffold/docs
make html

🤝 Contributing

This is an internal tool, and contributions from all teams are welcome!

Check the documentation for more information on how to contribute.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mxm_scaffold-0.19.0.dev165704249.tar.gz (60.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mxm_scaffold-0.19.0.dev165704249-py3-none-any.whl (85.6 kB view details)

Uploaded Python 3

File details

Details for the file mxm_scaffold-0.19.0.dev165704249.tar.gz.

File metadata

File hashes

Hashes for mxm_scaffold-0.19.0.dev165704249.tar.gz
Algorithm Hash digest
SHA256 21f4c86ceba592fc7ea1d39705eb2938108855b237576daed72efa2a544d1d11
MD5 5da7d4fc097090f69ba18558de5ad680
BLAKE2b-256 a6a7c1b5f79170ee525dbe70d3a593b3170f410c4cee7e0d342b670a71caaefa

See more details on using hashes here.

File details

Details for the file mxm_scaffold-0.19.0.dev165704249-py3-none-any.whl.

File metadata

File hashes

Hashes for mxm_scaffold-0.19.0.dev165704249-py3-none-any.whl
Algorithm Hash digest
SHA256 ddadf333a152ae55d84cce61ef859b859701d0fe90a7d9717b2b7d3fe65a53fd
MD5 857e2ed6f578e4e726c41b2e08f88471
BLAKE2b-256 e2e5bcb04f5016c92d5abfa5c7d47a62670d7026903c79a1e9c304dd509fa0d0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page