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higgsfield-ai / higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Stars
6,326 stars
Forks
1,192 forks
Language
Jupyter Notebook
License
APACHE-2.0
Created
May 26, 2018
Last push
Oct 26, 2026
Updated
Nov 11, 2026
Status
Archived
Why these Tags: an agent read the README and quoted it
  • Distributed training from the readme: Supporting ZeRO-3 deepspeed API and fully sharded data parallel API of PyTorch, enabling efficient sharding for trillion-parameter models.

An agent gave these Tags from the fixed Tag list in the AwesomeRepos source code. A code check kept each Tag only when its quote is in the text. A wrong Tag? Report an error with the form at the end of this page.

Admitted to the Repository Index on Nov 10, 2026: 6,305 stars on 2026-11-10.

Star History

188 days recorded, May 8, 2026 – Nov 11, 2026 (UTC). Net change +2,675 stars.

Stars at the end of each day 6,326 now
5K
May 8, 2026 Nov 11, 2026
Net stars each day highest +439
+439 on Sep 20, 2026
May 8, 2026 Nov 11, 2026

The star count of each day is the latest count minus the net stars of the later days.

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Star History chart

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Badge

[![AwesomeRepos](https://awesomerepos.com/higgsfield-ai/higgsfield/badge.svg)](https://awesomerepos.com/higgsfield-ai/higgsfield)

Timeline

It gained stars on 183 of the 188 days recorded since May 8, 2026.

Its largest 7 days were Sep 17, 2026 to Sep 23, 2026: 1,431 stars.

In the 30 days to Nov 11, 2026 it got 369 stars, 79% fewer than in the 30 days before.

It was archived before Nov 11, 2026, the day of its first Observation.

  1. Created on the Repository Host
  2. Release v0.0.4-rc
  3. +207 stars in one day
  4. Reached 5,000 stars, 3,038 days after it was created
  5. +417 stars in one day
  6. Largest star day recorded: +439 stars
  7. Latest push
  8. Entered the Repository Index: 6,305 stars on 2026-11-10

The timeline comes from the creation date and the releases on the Repository Host, the Admission, the Star History, and the Observations. Star milestones show only when the Star History records the day. The list shows up to 5 stable releases from the latest 10 releases recorded. When none of them is stable, one item counts the pre-releases. On the chart of net stars each day, a solid line marks each recorded release.

Forks and pushes

From 2 Observations, Nov 11, 2026 – Nov 12, 2026. Forks +8. AwesomeRepos saw a new push on 0 of 1 days.

Forks 1,192
  1. Nov 12, 2026: no new push

A filled day: the last push time changed since the Observation before it.

Health facts

Measured facts in four separate dimensions, each with a date and a source. AwesomeRepos does not add them into one score. AwesomeRepos reads the weekly commits, the changelog, and the community files each week for the 5,000 visible repositories with the most stars and for each rising repository. How AwesomeRepos defines each check

Copies a prompt for a coding agent. It has 1 task for the maintainers of higgsfield-ai/higgsfield.

Maintenance

1 of 4 checks (2 without data)
  • No: Not archived

    GitHub marks the repository as archived. Source

  • Yes: A push in the last 90 days

    Last push on 2026-10-26, 16 days ago. Source

  • No data: Commits in the last 13 weeks

    No data: AwesomeRepos has not read the weekly commits.

  • No data: Commits in 26 or more of the last 52 weeks

    No data: AwesomeRepos has not read the weekly commits.

Releases

1 of 3 checks (1 without data)
  • No: A release in the last 365 days

    Newest release v0.0.4-rc on 2024-03-23, 964 days ago. 0 releases in the last 365 days. Source

  • Yes: The newest release tag is a semantic version

    The newest release tag is v0.0.4-rc. Source

  • No data: A changelog file at the root

    No data: AwesomeRepos has not scanned this repository.

Security practice

0 of 1 check (1 without data)
  • No data: A security policy

    No data: AwesomeRepos has not scanned this repository.

AwesomeRepos has not asked OpenSSF Scorecard about this repository.

Community files

1 of 3 checks (2 without data)
  • Yes: A licence

    GitHub finds the licence APACHE-2.0. Source

  • No data: A contributing guide

    No data: AwesomeRepos has not scanned this repository.

  • No data: A code of conduct

    No data: AwesomeRepos has not scanned this repository.

Dependencies in the index

This section shows the packages that connect this repository to other repositories in the index.

The GitHub dependency graph of this repository names 16 direct packages (scanned on Nov 12, 2026). Packages from 10 other repositories in the index are among them.

No scanned repository names a package from this repository.

Uses (8 of 10) Used by higgsfield-ai/higgsfield pola-rs/polars pola-rs/polars huggingface/datasets huggingface/datasets huggingface/peft huggingface/peft pallets/click pallets/click wandb/wandb wandb/wandb theskumar/python-dotenv theskumar/python-dotenv pyca/cryptography pyca/cryptography yaml/pyyaml yaml/pyyaml None in the scan
An arrow points from the repository that names a package to the repository that the package comes from.

Uses (in the index) · 10

Used by (in the index) · 0

None.

Sources: the GitHub dependency graph of each repository, and deps.dev for the source repository of each package (checked on Nov 3, 2026). A dependency graph also names development packages. deps.dev takes most source repositories from package metadata. How the dependency graph is made

Observations

Latest Observation, Nov 12, 2026: 6,326 stars, 1,192 forks, last push Oct 26, 2026, archived. One of 2 Observations since Nov 11, 2026.

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