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CrossRead/scholion

Local health insights for patients and clinicians

Before you install: no copy-paste command · license Apache-2.0 · link reachable

First step: pip install scholion

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Official descriptionLocal health insights for patients and clinicians. Connect lab trends, genetics, prescriptions and wearable data — on your computer. Web, CLI, MCP and Ouroboros.
Install & config
Install command from the repository
pip install scholion

Parsed from the README we fetched on 2026-11-06; we have not executed it.

This is the install method the repository states, not an MCP client config, so no JSON is generated.
Key names differ by client: Clients & CLI
Star count
4 ★ · CrossRead/scholion · read from the GitHub search API · (checked 2026-11-13 20:00:50)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-11-07 · last seen 2026-11-14 · seen 8× · listed by 1 sources
Score
score 103 · 4 ★ · 1 sources · repo
Install
pip install scholion
FAQ (answers come from our records)
How do I install it?
The repository provides this install command: pip install scholion. It comes from the repository itself; we cannot guarantee it runs as-is in your client.
Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository CrossRead/scholion;first catalogued 2026-11-07;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# Scholion

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Understand changes in your health by reading the evidence together.
Scholion connects laboratory history, a person's genome, prescriptions and wearable
measurements in one local workspace. It helps a patient see what deserves attention
and helps a clinician review the facts behind a question: what changed, which
mechanisms may be relevant, and what the available data can actually support.
Use the local web application, the command line, or an assistant connected through
MCP, a skill or an Ouroboros plugin. They share the same analysis core and selected
profile. English and Russian interfaces are included.
Current source version: 0.7.7. See published releases
and PyPI for the version available to install.
Scholion is not a medical device, does not diagnose and does not change treatment.
English presentation
· Russian presentation
· For clinicians
· Changes and update instructions
## Sixty seconds: try the demo
Start with a fictional person. No genome, medical record or Scholion account is
required:
bash
pip install scholion
scholion init --demo
scholion overview
scholion limits
scholion phenoage --panels
To open the same profile in the local web application:
bash
scholion serve
Open the address printed in the terminal; the default is
http://127.0.0.1:1521. The demo includes incomplete data so
that you can also see how an unavailable calculation is explained.
Use an empty data directory for your first demo. When you add a real observation
to a demo profile, Scholion removes the marked synthetic history before saving
your data; fictional and real records must not be mixed. This does not erase an
ordinary real profile. scholion demo is the alternative that builds a demo in a
separate directory and prints how to open it.
## Why
A laboratory result answers one question at one moment. A useful review also asks
how it relates to earlier results, the treatment timeline, known genetic findings
and everyday observations. Those records often live in different files and use
different dates, units and names.
Scholion brings them into a source-labelled history and organises the review by
body system. Its core computes facts, comparisons and qualified findings without a
language model. An optional assistant can explain those results and help prepare
questions for the treating clinician.
## What you can do
| For a patient | For a clinician |
| See which body systems deserve attention and follow annual direction | Review dated values, meaningful changes and their supporting records |
| Keep manual measurements and wearable observations in one history | Compare applicable genetic findings with the person's laboratory results |
| Record symptoms, everyday function and tolerability alongside measurements | Distinguish reported response, measured change and an unproven treatment explanation |
| Understand the purpose and limits of a clinical estimate | Inspect the method, required inputs, applicability and original sources |
| Prepare a focused visit brief | Open the relevant systems and gene panels without a full catalogue dump |
| Retain access through a local application or an assistant | Use separate containers for different people, with explicit selection |
Listed badge (optional)
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[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/en/s/crossread-scholion/)
Source
github · https://github.com/CrossRead/scholion
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