---
id: pipebio
version: "5.6.0"
license: BSD 3-clause
license_treatment: permissive
maintenance: active
---

# pipebio — A PipeBio client package

License: permissive · Maintenance: active · Downloads: 119.0K/mo

## What it is and what it does

PipeBio is a Python SDK for connecting to PipeBio's cloud-based biologics discovery platform. It provides a client interface to configure and run bioinformatics workflows for antibody and peptide analysis, including sequence analysis, engineering, and NGS/Sanger/PacBio data processing. The SDK wraps HTTP requests to the PipeBio API and includes authentication via API key, with support for loading credentials from environment variables or .env files.

The package is built on standard Python data and HTTP libraries (pandas, requests, biopython, openpyxl, pyarrow) and is designed for both wet lab scientists running standard workflows and bioinformaticians deploying custom code. It ships machine-readable reference files (llms.txt) for AI coding assistants and allows direct session access for unsupported endpoints.

Use it for:

- Automate antibody sequence analysis and discovery workflows on the PipeBio platform from Python scripts.
- Integrate NGS, Sanger, PacBio, or single-cell sequence data into bioinformatics pipelines.
- Deploy custom bioinformatics code to PipeBio and trigger workflows programmatically.
- Build SOPs and standard analysis workflows for antibody engineering and peptide discovery.
- Extend the SDK with raw HTTP requests when a specific endpoint is not yet wrapped by the client.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

A Python SDK for the PipeBio cloud platform that enables programmatic access to bioinformatics workflows for antibody and peptide sequence analysis, discovery, and engineering.

Yes. The package is actively maintained (released 1 day ago), has low install friction, no known vulnerabilities, and permissive licensing. Install it if you need to integrate PipeBio's biologics discovery platform into Python workflows. The main prerequisite is obtaining a PipeBio API key and running Python 3.10+.

## Install

pip install pipebio
uv add pipebio
poetry add pipebio

## Installing pipebio

Before you install: Low friction install with a pure-wheel distribution. Actively maintained with a release 1 day old. Depends on common data and HTTP libraries (pandas, requests, biopython) with no compiled dependencies.

License in practice: BSD 3-clause is permissive; you can use this package in commercial and proprietary projects with minimal restrictions, provided you include the license notice.

Quickstart:

pip install pipebio

from pipebio.pipebio_client import PipebioClient

client = PipebioClient(url='https://app.pipebio.com')
response = client.session.get(url='me')
print(response.json())

Requires PIPE_API_KEY environment variable set (obtain from https://app.pipebio.com/AbLabs/me); Python 3.10 or later.

Verify before relying:

- Whether the SDK covers all endpoints you need or if you'll need to extend it with raw session calls.
- Performance characteristics when handling large NGS or single-cell datasets.
- Whether the llms.txt reference files are sufficient for your AI coding assistant use case.

## Package facts

- License: BSD 3-clause (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 119.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

antibody sequence analysis SDK, peptide discovery bioinformatics, PipeBio API client, biologics discovery platform, NGS sequence analysis, antibody engineering tools, cloud bioinformatics workflows, bioinformatics, api-client, biologics-discovery

[View on SkillFed](https://skillfed.io/packages/pipebio) · [View on PyPI](https://pypi.org/project/pipebio/)