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shap

Self-hosted alternatives to shap

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Launch

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Launch

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Launch

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Launch

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Launch

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

About shap

S

shap

Explain and audit machine-learning predictions with SHAP

shap is an agent skill for explaining and auditing machine-learning predictions with SHAP. It describes how a fitted model maps inputs to outputs. The skill works from the modern shap.Explanation interface, makes the explained output and the background distribution explicit, and checks every explanation before anyone interprets it. It covers choosing explainers and maskers, computing and validating feature attributions, and plotting them. It is aligned with SHAP 0.52.0, released on 28 May 2026, which requires Python 3.12 or newer. The maintained examples were checked on Python 3.12 with NumPy 2.5.3, pandas 3.0.6, scikit-learn 1.9.1 and matplotlib 3.11.2. Native tests cover several explainer types, and XGBoost 3.4.1 smoke checks cover raw, probability, loss and interaction outputs. The skill sets firm operating rules. It explains a fixed, evaluated model and does not use SHAP as a substitute for predictive validation. Explanations should use held-out rows, and background rows should come from an appropriate reference population.

View shapAll AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/shap