training vs sdg-hub
training is a plugin bundle for AI coding tools published by jmagly. Marketplaces we read that list it: 1 (Community GitHub marketplaces). sdg-hub is a plugin bundle for AI coding tools published by Red Hat AI Innovation Team. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-11-07. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  training | |
|---|---|---|
| Community marketplace jmagly/aiwg | Listed Version: 1.0.0 Forks (GitHub): 1 Stars (GitHub): 1 Not marked · First seen |
Not listed |
| Community marketplace red-hat-ai-innovation-team/sdg_hub | Not listed | Listed Version: not stated Forks (GitHub): 64 Stars (GitHub): 170 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | training | sdg-hub |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 1 (worse) | 170 (better) |
| Forks (GitHub) (differs) | 1 (worse) | 64 (better) |
| Last release | Not published | Not published |
| Where it runs | Installs as a plugin bundle | Installs as a plugin bundle |
| Transport | Not stated | Not stated |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 24 | 4 |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/jmagly/aiwg-training | github.com/red-hat-ai-innovation-team/sdg_hub |
| Changes in the last 7 days (differs) | 0 | 2 |
| First seen (differs) | 2026-10-23 | 2026-11-03 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
training
Corpus-to-dataset pipeline for AI training data curation. Ingests sources, synthesizes examples, generates DPO/KTO preference pairs, applies decontamination, and exports to Alpaca/ShareGPT/ChatML/JSONL/Parquet with provenance. Optional Python runtime (aiwg-training CLI) for scale.
sdg-hub
Synthetic data generation — composable blocks and YAML-defined flows for building LLM training datasets
How to run each
training As a Claude Code plugin
/plugin marketplace add jmagly/aiwg
/plugin install training@aiwgsdg-hub As a Claude Code plugin
/plugin marketplace add red-hat-ai-innovation-team/sdg_hub
/plugin install sdg-hub@sdg-hubCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: training · What it can do: sdg-hub · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.