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Pytrial

PyTrial is an open-source Python package that provides AI and machine-learning pipelines for drug-development and clinical-trial tasks.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Pytrial — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use PyTrial when you want a Python library with documented pipelines and tutorials for experimenting with AI methods on clinical-trial or drug-development tasks.

Who it is for

  • Machine-learning researchers exploring AI methods for drug development.
  • Medical practitioners and research teams working with clinical-trial data.
  • Python developers building or prototyping clinical-trial analysis workflows.

Documented uses

  • Predict individual patient outcomes or clinical-trial outcomes.
  • Support clinical-trial site selection and patient-trial matching.
  • Search for similar trials or simulate trial data.
  • Explore data-mining and natural-language-processing workflows relevant to drug development.
Before you choose

Requirements & limits

The project is public on GitHub and specifies a BSD-2-Clause license. Installation guidance requires PyTorch first and recommends installing PyTrial from GitHub rather than PyPI while development is ongoing.

  • The package expects task data to be prepared according to the relevant input protocol.
  • The README identifies Python 3.7 as the tested version.
  • PyTrial uses a consistent fit, predict, save, and load interface across tasks and models.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install PyTrial from its GitHub source

Set up PyTrial in a Python environment for later clinical-trial or drug-development workflows.

Before you start

  • Python 3.7 or later; the installation documentation says PyTrial was tested with Python 3.7+.
  • PyTorch 1.8.0 or later, installed using instructions appropriate for the device and CUDA setup.

Steps

  1. Install a compatible PyTorch version using the official PyTorch installation instructions.

  2. Install PyTrial from GitHub with the command below.

    Documented command
    pip install git+https://github.com/RyanWangZf/pytrial.git

  3. For the alternative local-source method, clone the repository, change into the pytrial directory, and run the command below.

    Documented command
    pip install .

Expected outcome

PyTrial is installed and ready for task-specific tutorials covering clinical-trial and drug-development workflows.

Guide limitations

  • The installation page identifies Python 3.7+ and PyTorch 1.8.0+ as tested requirements.
  • The repository README does not recommend PyPI installation while the package is undergoing rapid development.
Documentation 1 ↗Documentation 2 ↗Documentation 3 ↗
Evidence and transparency

Sources & review

Official repository ↗Guide documentation ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
12 October 2026
Original website title
Keiji-AI/PyTrial · Official homepage title · retained in its source language
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