Open source alternatives to pyhealth
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O

opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A

andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M

microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O

od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G

github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
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











