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This release is a pre-release and may not be stable for production use.

BioPB - AI-assisted bio-image analysis

License MIT PyPI Sonatype Central Python Tests Java Tests

The repo provides the core harness framework of the biopb project. The goal is to coordinate a LLM agent with a user in an interactive session to perform complex image ananlysis tasks relavent to scientific researches.

Quick Start

curl -fsSL https://biopb.org/install.sh | bash

biopb-tensor-server

An imaging data server for sharing large collections of imaging datasets, distributed and interfacing with both human users (GUI) and LLMs (API). Read More...

biopb-image-runtime

Deploy distributed image processing algorithms (e.g., large deep-learning models) on the network as services. Read More...

biopb-mcp

An LLM interface for the full biopb platform, so an AI agent can collaboate with a user on image analysis tasks. Data analysis is python code (ipykernel) with two input streams: (1) Jupyter notebook (human), or (2) chat -> LLM -> agent code. Read More...

SDK

Schema, utilities and cli for building your own workflow. Explore your data in jupyter notebook etc.

Python

pip install biopb[tensor]

Java

<dependency>
  <groupId>io.github.jiyuuchc</groupId>
  <artifactId>biopb</artifactId>
  <version>CURRENT_VERSION</version>
</dependency>

biopb-servers

Specific implementations of biopb-image-runtimes. Read More...

Contributing

Contributions are very welcome. Read the developement document first to understand the overall design architecture.

License

Distributed under the terms of the MIT license,

Issues

If you encounter any problems, please file an issue along with a detailed description.

Metadata

Release files for biopb 0.11.0rc5

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Source distribution for biopb 0.11.0rc5
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