eido
A project metadata validator
What it is and what it does
Eido is a metadata validator built on jsonschema that checks project configurations against PEP schemas. It's designed for bioinformatics workflows and sequencing projects, where structured project metadata is critical for reproducibility and automation. The tool integrates with the pepkit ecosystem and depends on standard libraries including pandas, jsonschema, and logmuse to perform schema validation and reporting.
You use eido when you need to ensure that project metadata files conform to a defined schema before processing them in a workflow. It catches configuration errors early by validating against a schema definition, reducing downstream failures in metadata-driven systems.
Use it for:
- Validate bioinformatics project metadata files against PEP schema definitions before pipeline execution
- Enforce consistent project structure and metadata fields across multiple sequencing or NGS workflows
- Catch configuration errors in project metadata early in the workflow lifecycle
- Integrate metadata validation into workflow automation or CI/CD systems for reproducibility
- Validate custom project metadata schemas in research or production pipelines
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Validates project metadata against PEP schemas using jsonschema for structured configuration validation.
Yes, if you work with PEP-based project metadata or bioinformatics workflows. The package is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive BSD2 license. It fills a specific niche; if your workflows don't use PEP schemas, it's unlikely to be relevant.
Install
eido on PyPI
pip
pip install eidouv
uv add eidopoetry
poetry add eidoInstalling eido
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a recent release 22 days old and ongoing commits. Six runtime dependencies are all standard Python packages.
License in practice
BSD2 permissive license allows broad use, modification, and distribution with minimal restrictions—suitable for both open and proprietary projects.
Quickstart
pip install eido
import eido
# Validate metadata against a PEP schema
eido.validate(metadata_dict, schema_dict)
Verify before relying
- Whether eido can validate schemas beyond the bioinformatics domain or is domain-specific
- Performance characteristics when validating large or deeply nested metadata structures
- CLI interface availability and command-line usage patterns
Package facts
| License | BSD2 (permissive) |
| Python support | not specified |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 6 — importlib-metadata, jsonschema, logmuse, pandas, peppy, ubiquerg |
| Maintenance | actively maintained — 22 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 115,501/month — #12,248 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: eido-0.2.6-py3-none-any.whl
Keywords: project, metadata, bioinformatics, sequencing, ngs, workflow
Tags
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