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eido

A project metadata validator

With conditionsPyPI Bio-InformaticsReleased Jul 2026115.5K downloads / moBSD2Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — eido-0.2.6-py3-none-any.whl
v0.2.6 · released 2026-07-23 · 6 runtime deps: importlib-metadata, jsonschema, logmuse, pandas, peppy, ubiquerg

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.AI-flagged interpretation of the facts on this page — verify before relying

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 · maintenance · safety

BSD2 (permissive) — BSD2 permissive license allows broad use, modification, and distribution with minimal restrictions—suitable for both open and proprietary projects.

last release 2026-07-23 (22 days) · last repo commit 2026-08-05 · 5 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 115,501 downloads/mo, #12,248 on PyPI

Verify before relying

pip install eido
import eido
# Validate metadata against a PEP schema
eido.validate(metadata_dict, schema_dict)
  • 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
Same gist for agents: .md · .json

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 on it.

With conditions

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

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

LicenseBSD2 permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependencies
6 packages
importlib-metadatajsonschemalogmusepandaspeppyubiquerg
MaintenanceActively maintained 22 days since the last release
Last repo commit
First released
Downloads115,501 / month, #12,248 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaLicense :: OSI Approved :: BSD LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Bio-Informatics

Evidence: eido-0.2.6-py3-none-any.whl

Tags

Capabilities
PEP metadata validationproject metadata validatorjsonschema-based validationbioinformatics project configworkflow metadata validationsequencing project validationschema validator
Topics
metadata-validationbioinformaticsschema-validation
PyPI keywords
projectmetadatabioinformaticssequencingngsworkflow

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See also jsonschema · peppy · pipestat · check-jsonschema · kubernetes-validate · Cerberus · jsonschema-pydantic · jsonschema-rs · isa-rwval · pephubclient