Datathings Marketplace
- 10 repo stars
- Updated July 21, 2026
- datathings/marketplace
datathings-marketplace is a Claude Code plugin marketplace that offers twelve plugins for GPU numerics, scientific libraries, and local LLM inference integration.
About
datathings-marketplace is a Claude Code plugin marketplace with twelve plugins aimed at developers who live at the intersection of numerical computing, GPU acceleration, and optional on-device inference. Rather than generic productivity shortcuts, the keyword surface reads like a technical catalog: BLAS and LAPACK families, cuBLAS and cuFFT, graph-based kernels, embeddings pipelines, and references to greycat-style structured systems alongside power-network and short-circuit analysis tooling. founders prototyping ML features, scientific SaaS, or energy-adjacent analytics can use it to keep heavy dependencies and API patterns one marketplace search away instead of re-explaining CUDA ports or inference server setup every sprint. The repo positions itself as community-sourced with a small star count, so treat each plugin as an integration accelerator you validate against your stack—Windows, Linux, ROCm vs CUDA, and offline vs server inference all change what installs cleanly. This is ideal when your agent must generate correct glue code around tensors, solvers, or local model runners, not when you only need marketing copy or SEO plugins.
- Marketplace lists 12 plugins spanning GPU linear algebra, FFT, and sparse solvers
- Covers local and OpenAI-compatible inference paths including Ollama, llama.cpp, and vLLM
- Includes power-grid and pandapower-oriented modeling keywords for engineering domains
- Documents cross-platform paths: NVIDIA CUDA and ROCm (rocBLAS, rocFFT, etc.)
- Emphasizes batch computation, profiling, and multibackend numerical workflows
Datathings Marketplace by the numbers
- Data as of Jul 22, 2026 (Skillselion catalog sync)
/plugin install datathings-marketplace@datathings/marketplaceAdd your badge
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| repo stars | ★ 10 |
|---|---|
| Last updated | July 21, 2026 |
| Repository | datathings/marketplace ↗ |
What it does
Register a 12-plugin marketplace when you need GPU numerics, local LLM inference, and power-system modeling helpers inside Claude Code driven builds.
Who is it for?
Best when you're shipping Python or C/C++ backends that need LAPACK, GPU kernels, pandapower-style grids, or self-hosted model inference.
Skip if: Skip if you only need landing pages, CRM hooks, or lightweight no-GPU CRUD apps.
What you get
After registration, you can enable domain-specific plugins so Claude Code follows vetted patterns for solvers, tensors, and Ollama or vLLM style inference in your repo.
- Twelve scoped integration plugins for compute and inference stacks
- Agent-ready patterns for solvers, tensors, and model serving glue code
- Faster scaffolding for engineering or ML backends with heavy libraries
By the numbers
- 12 plugins in the marketplace
- Repository: datathings/marketplace
- Community listing with GPU, BLAS, and inference-related keyword coverage
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Numerical and inference integration marketplace, not a front-end UI kit or a single brainstorming skill.
FAQ
Who is Datathings Marketplace for?
It is for developers and technical founders who combine scientific computing, GPU libraries, or local LLM serving with Claude Code assisted implementation.
When should I use Datathings Marketplace?
Use it during backend or ML integration work when your agent must respect BLAS, CUDA, ROCm, or inference-server conventions instead of inventing APIs from scratch.
How do I add Datathings Marketplace to my agent?
Add the datathings/marketplace entry to Claude Code, install the marketplace bundle, then turn on only the plugins that match your hardware and Python stack.