biip
Biip interprets the data in barcodes.
Decision gist · record as of 2026-08-14
Yes. Biip is a focused, well-maintained library with no security vulnerabilities, low install friction, and permissive licensing. Install it if you need to parse or validate barcode data in any of the supported GS1 or UPC formats; it handles the complexity of multiple barcode standards and symbology identifiers so you don't have to.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction install with a single runtime dependency (typing-extensions).
- Actively maintained with recent releases; last commit 2026-08-13 and latest release 2025-10-12 indicate ongoing development.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache License 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most projects.
last release 2025-10-12 (306 days) · last repo commit 2026-08-13 · 59 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 94,034 downloads/mo, #13,348 on PyPI
Alternatives
Verify before relying
pip install biip
import biip
result = biip.parse("]E09781492053743")
print(result.gtin.value, result.gtin.format)- Whether the library handles all GS1 AI codes or only a subset of the GS1 standard.
- Performance characteristics when parsing large batches of barcodes.
- Whether validation (e.g., check-digit verification) is performed automatically or on demand.
What it is and what it does
Biip is a barcode interpretation library that takes raw barcode data—typically a string extracted from a physical barcode scan or QR code—and parses it into structured, human-readable components. It supports multiple barcode standards: GTIN-8/12/13/14 (used in EAN and ITF-14 barcodes), GS1 AI element strings (GS1-128), GS1 Digital Link URIs (QR and Data Matrix), and UPC-A/UPC-E codes. The library returns a ParseResult object containing the symbology identifier, GTIN details (format, check digit, company prefix, GS1 prefix with usage information), and other metadata.
The package is designed for developers building inventory, retail, supply-chain, or logistics systems that need to decode and validate barcode data. It has a single runtime dependency (typing-extensions) and requires Python 3.10+. The library is actively maintained, marked as production-stable, and carries no known security vulnerabilities.
Use it for
- Decode EAN-13 barcodes in retail point-of-sale systems to retrieve product identifiers and validate check digits.
- Parse GS1-128 barcodes in warehouse management to extract shipment and lot information from AI element strings.
- Interpret QR codes containing GS1 Digital Link URIs to access product data in supply-chain tracking applications.
- Validate ISBN numbers embedded in GTIN-13 barcodes on books to verify publisher and title information.
- Extract company prefix and product code from UPC-A barcodes for inventory reconciliation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Biip is a focused, well-maintained library with no security vulnerabilities, low install friction, and permissive licensing. Install it if you need to parse or validate barcode data in any of the supported GS1 or UPC formats; it handles the complexity of multiple barcode standards and symbology identifiers so you don't have to.
Install
biip on PyPI
Before you install
Low friction install with a single runtime dependency (typing-extensions). Actively maintained with recent releases; last commit 2026-08-13 and latest release 2025-10-12 indicate ongoing development.
Requires Python 3.10 or later.
License in practice
Licensed under Apache License 2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions—suitable for most projects.
Quickstart
pip install biip
import biip
result = biip.parse("]E09781492053743")
print(result.gtin.value, result.gtin.format)Verify before relying
- Whether the library handles all GS1 AI codes or only a subset of the GS1 standard.
- Performance characteristics when parsing large batches of barcodes.
- Whether validation (e.g., check-digit verification) is performed automatically or on demand.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagetyping-extensions |
| Maintenance | Actively maintained 306 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 94,034 / month, #13,348 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersTopic :: Software Development :: Libraries |
Evidence: biip-5.0.0-py3-none-any.whl
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