Skip to main content

Complete Machine Learning Framework for Production

Project description

FRAMEWORM

Complete Machine Learning Framework for Production

PyPI Python Tests Coverage Documentation License Discord


Features

  • 🚀 Simple API - Train models in minutes
  • 📊 Experiment Tracking - Built-in, no external servers
  • 🔍 Hyperparameter Search - Grid, random, Bayesian
  • 🎯 Production Ready - Export, serve, deploy
  • Fast - Multi-GPU, distributed, mixed precision
  • 🎨 Web Dashboard - Beautiful UI for tracking

Quick Start

pip install frameworm
frameworm init my-project
cd my-project
frameworm train --config config.yaml

See documentation for more.


Why FRAMEWORM?

Feature FRAMEWORM PyTorch Lightning Others
Training
Experiment Tracking ✅ Built-in ⚠️ External ⚠️ External
Hyperparameter Search ✅ Built-in ⚠️ Limited
Deployment ✅ Built-in ⚠️ Limited
Web UI ✅ Built-in
Complexity Low Medium High

Documentation


Contributing

See CONTRIBUTING.md


License

MIT License - see LICENSE


Citation

@software{frameworm2024,
  title = {FRAMEWORM: Complete Machine Learning Framework},
  author = {Aakash Ali},
  year = {2026},
  url = {https://github.com/Aakash0440/frameworm}
}

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

frameworm-1.0.4.tar.gz (107.3 kB view details)

Uploaded Source

Built Distribution

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

frameworm-1.0.4-py3-none-any.whl (134.1 kB view details)

Uploaded Python 3

File details

Details for the file frameworm-1.0.4.tar.gz.

File metadata

  • Download URL: frameworm-1.0.4.tar.gz
  • Upload date:
  • Size: 107.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for frameworm-1.0.4.tar.gz
Algorithm Hash digest
SHA256 52d2fa3d93215203c09af0d017cb9efd8276777306b9dd43ef1d874b06244989
MD5 4a393688136786d750baafe793a854c9
BLAKE2b-256 7c01a5614414114787e56be95910cfba6f3900f4b3b32a702080d1d63396b261

See more details on using hashes here.

File details

Details for the file frameworm-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: frameworm-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 134.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for frameworm-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 ccb4709411afbf336e35ca4633a4f1df806b0aee7c6bf1a9f7339ce908e6e3fb
MD5 4ca972e7ad23fe63ab4b8a9c9106c838
BLAKE2b-256 ce196122c5dff275f12734757b08d2dff651cf40a2f987884728eac36b48fbf3

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