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Plex

Platform for running comp bio applications on distributed compute and storage infrastructure

Install / Use

/learn @labdao/Plex
About this skill

Quality Score

0/100

Category

Operations

Supported Platforms

Zed

README

Lab Exchange 🧫×🧬→💊

Run highly reproducible computational biology applications on top of a decentralised compute and storage network.

<p align="left"> <a href="https://github.com/labdao/plex/blob/main/LICENSE.md" alt="License"> <img src="https://img.shields.io/badge/license-MIT-green" /> </a> <a href="https://github.com/labdao/plex/releases/" alt="Release"> <img src="https://img.shields.io/github/v/release/labdao/plex?display_name=tag" /> </a> <a href="https://github.com/labdao/plex/pulse" alt="Activity"> <img src="https://img.shields.io/github/commit-activity/m/labdao/plex" /> </a> <a href="https://img.shields.io/github/downloads/labdao/plex/total"> <img src="https://img.shields.io/github/downloads/labdao/plex/total" alt="total download"> </a> <a href="https://labdao.xyz/"> <img alt="LabDAO website" src="https://img.shields.io/badge/website-labdao.xyz-red"> </a> <a href="https://twitter.com/intent/follow?screen_name=lab_dao"> <img src="https://img.shields.io/twitter/follow/lab_dao?style=social&logo=twitter" alt="follow on Twitter"> </a> <a href="https://discord.gg/labdao" alt="Discord"> <img src="https://dcbadge.vercel.app/api/server/labdao?compact=true&style=flat-square" /> </a> </p>

The Lab Exchange is a full web stack for distributed computational biology.

  • 🌎 Build once, run anywhere: The Lab Exchange is using distributed compute and storage to run containers on a public network. Need GPUs? We got you covered.
  • 🔍 Content-addressed by default: Every file processed by plex has a deterministic address based on its content. Keep track of your files and always share the right results with other scientists.
  • 🪙 Records: authorship tracking built-in Every compute event on Lab Exchange is mintable as an on-chain token that grants the holder rights over the newly generated data.
  • 🔗 Strictly composable: Every model in plex has declared inputs and outputs. Plugging together models by other authors should be easy.

Plex is built with Bacalhau and IPFS.

Running the App Locally

We have docker-compose files available to bring up the stack locally.

Note:

  • Only amd64 architecture is currently supported.

Build and bring up stack (CPU)

docker compose up -d --wait

Build and bring up stack (GPU)

docker compose -f docker-compose.yml -f docker-compose-gpu.yml up -d --wait --build

To run bacalhau cmds against local environment simply set BACALHAU_API_HOST=127.0.0.1 in your terminal

View on GitHub
GitHub Stars64
CategoryOperations
Updated1mo ago
Forks15

Languages

TypeScript

Security Score

100/100

Audited on Feb 13, 2026

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