Self-hosted alternatives to pyhealth
5 self-hosted AI Skills apps to use instead, best rated first.
Top picks
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claude-to-deerflow
Launchclaude-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
- O

open-notebook
Launchopen-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
- R

Reactive Resume
LaunchReactive 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
- S

self-hosted-funnel-launch
LaunchSelf-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
- G

get-convex/convex-backend
LaunchConvex 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 pyhealth

pyhealth
Builds and validates PyHealth clinical machine-learning pipelines for EHR
pyhealth is an agent skill for building and validating clinical machine-learning pipelines with PyHealth, covering electronic health record sequences, physiological signals, imaging tasks and medical-code lookup. It also covers loading datasets such as MIMIC-III and MIMIC-IV. The pipeline runs Dataset, then Task, then Model, then Trainer, then Metrics. The skill targets PyHealth 2.0.2, verified against the released wheel, the current documentation and CPU runs on Python 3.12 with Torch 2.7.1. Its 1.x and 2.x interfaces differ, and the skill warns not to combine legacy Visit examples with the 2.x event and processor API. Before modelling, the skill asks you to establish the cohort, the prediction time, the observation window, the outcome horizon and the unit of evaluation. For general tabular learning that has no PyHealth dataset or task, the skill is optional. It includes a starter pipeline with a demo mode you can run to check the install. Use it for clinical prediction research with PyHealth. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/pyhealth