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


Release history Release notifications | RSS feed

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-0.21.2.dev193050433.tar.gz (93.2 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-0.21.2.dev193050433-py3-none-any.whl (117.1 kB view details)

Uploaded Python 3

File details

Details for the file mxm_scaffold-0.21.2.dev193050433.tar.gz.

File metadata

File hashes

Hashes for mxm_scaffold-0.21.2.dev193050433.tar.gz
Algorithm Hash digest
SHA256 24c42c0df3aa92eae8cca4e9a4dd1b939ead72102a112497dac5557925bd4aaa
MD5 0b772484119c2e2a704772c67e948ddd
BLAKE2b-256 2144f9adebd6747002fc9b59dc6fcda51310edf98df2125789c6093142e8fd47

See more details on using hashes here.

File details

Details for the file mxm_scaffold-0.21.2.dev193050433-py3-none-any.whl.

File metadata

File hashes

Hashes for mxm_scaffold-0.21.2.dev193050433-py3-none-any.whl
Algorithm Hash digest
SHA256 0d98e6c6d90c3ddf727374f4ee3c383d282f35828da95e552fdbc8c3c4a4e70f
MD5 d655e6b1e879d4818ed229e7b14079f8
BLAKE2b-256 e0cffba267643ae3c6acd6d00954a2a636d083e3a708c7ac718a03909e18cd62

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