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-0.21.4.dev252928413.tar.gz (94.1 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-0.21.4.dev252928413-py3-none-any.whl (117.9 kB view details)

Uploaded Python 3

File details

Details for the file mxm_scaffold-0.21.4.dev252928413.tar.gz.

File metadata

File hashes

Hashes for mxm_scaffold-0.21.4.dev252928413.tar.gz
Algorithm Hash digest
SHA256 95abd7010d875f74cd1d76971d5ea06b62e50ce9bdda52d56fb3abf13d51e5e7
MD5 3ec0cd01822ee1e15e49bb1cb3de0f99
BLAKE2b-256 353288df853e8513d1edd45fcb7348f67f62ee625210de003a29b80972d903ba

See more details on using hashes here.

File details

Details for the file mxm_scaffold-0.21.4.dev252928413-py3-none-any.whl.

File metadata

File hashes

Hashes for mxm_scaffold-0.21.4.dev252928413-py3-none-any.whl
Algorithm Hash digest
SHA256 c12e08349bf8e1b0adbb52e4ff8d5b5f4e7db375a32ec04551093dbe68885842
MD5 98c5169ab17cb74763c54a089f0682fa
BLAKE2b-256 77fd24289e30e936ce3e19dced611e0e79cf9352bc3a3accf34b88a67d063fb7

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