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-0.19.1.dev69774692.tar.gz (63.8 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-0.19.1.dev69774692-py3-none-any.whl (87.8 kB view details)

Uploaded Python 3

File details

Details for the file mxm_scaffold-0.19.1.dev69774692.tar.gz.

File metadata

File hashes

Hashes for mxm_scaffold-0.19.1.dev69774692.tar.gz
Algorithm Hash digest
SHA256 d0c40929c607f85e1e615dac7202ae9640b74dead65c7c64b1017cf96751936a
MD5 b78f9acf1a083a2b4fdd3300f65ddf4c
BLAKE2b-256 b4b632edbe3b0fa583e200ef21413b08623454809aa8baa1b65dfdc45e68e67b

See more details on using hashes here.

File details

Details for the file mxm_scaffold-0.19.1.dev69774692-py3-none-any.whl.

File metadata

File hashes

Hashes for mxm_scaffold-0.19.1.dev69774692-py3-none-any.whl
Algorithm Hash digest
SHA256 3ee7a660bc07dc1cf7b653fc3b5028532071c9a88bfed111ea8fd39e247ea46a
MD5 8597e2769aebc885419c60e828084da7
BLAKE2b-256 0f9be01db72373a60783e3cb9a1f3047dbd0115f305547874ba557e8202283b3

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