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-0.20.0.dev151500078.tar.gz (63.7 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-0.20.0.dev151500078-py3-none-any.whl (87.8 kB view details)

Uploaded Python 3

File details

Details for the file mxm_scaffold-0.20.0.dev151500078.tar.gz.

File metadata

File hashes

Hashes for mxm_scaffold-0.20.0.dev151500078.tar.gz
Algorithm Hash digest
SHA256 26546cb7b1bb01063d1bb80ece38fb7cf3d88307434e57d10fa6895ac688a6c2
MD5 5e93fdca9d4afa55f1b7106869f8097e
BLAKE2b-256 ad90f06dd0a78ef2072012c1d3c8d0f836d6eb0030e74af235c8a87937a3ba0b

See more details on using hashes here.

File details

Details for the file mxm_scaffold-0.20.0.dev151500078-py3-none-any.whl.

File metadata

File hashes

Hashes for mxm_scaffold-0.20.0.dev151500078-py3-none-any.whl
Algorithm Hash digest
SHA256 1c37c9538d2ca7a316264f38fa6b60fc84e22590d2baa12cdded3ba7a7730d35
MD5 d86897ba7652d28cc687bb7bf715fa9e
BLAKE2b-256 3920e155cf5b9825f3516cc842b25ac76d26071d16444ee8e221c296dbc30f02

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