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The standard modular Python linter for PEP 8 compliance and cyclomatic complexity management.

The open-source, schema-driven standard for career data portability.

JSON Resume is a community-driven initiative that provides a standardized JSON schema for representing professional CVs and resumes. As of 2026, it serves as the foundational data layer for 'Resume-as-Code' workflows, allowing developers to treat their professional history as a structured dataset rather than a static visual document. The technical architecture relies on a strictly defined JSON schema (resume.json), which can be validated against standardized protocols to ensure interoperability across various platforms, themes, and automated tracking systems (ATS). By decoupling data from design, JSON Resume enables programmatic generation of multiple formats including PDF, HTML, and Markdown using a wide array of community-developed themes. In the 2026 recruitment landscape, this tool is increasingly vital for AI-driven hiring processes, as it provides LLMs and parsing engines with perfectly structured, high-signal data that eliminates the hallucinations and parsing errors common with traditional PDF scraping. The ecosystem includes a CLI for local development, a registry for hosting profiles via a simple URL, and a robust integration layer for CI/CD pipelines, making it the gold standard for technical professionals who value version-controlled career history.
JSON Resume is a community-driven initiative that provides a standardized JSON schema for representing professional CVs and resumes.
Explore all tools that specialize in automated pdf generation. This domain focus ensures JSON Resume delivers optimized results for this specific requirement.
Uses AJV or similar JSON Schema validators to ensure data integrity before rendering.
Uses Handlebars or Mustache templates to separate raw professional data from visual representation.
A command-line interface that handles initialization, serving, and exporting processes.
The .json format is natively compatible with Git, allowing for diff-tracking of career changes.
Utilizes Puppeteer or similar headless browser technologies to render HTML themes into high-quality PDFs.
Supports 'meta' objects within the JSON structure for non-standard data types.
Open-source scripts available to convert LinkedIn profile exports into the JSON Resume format.
Install the CLI globally using 'npm install -g resume-cli'
Initialize a new resume project using the 'resume init' command
Configure the 'resume.json' file with personal, work, and education data
Validate the local file against the official JSON Resume schema
Browse and install community themes via NPM (e.g., 'npm install jsonresume-theme-even')
Preview the resume locally using 'resume serve' to see live theme changes
Export the resume to a static HTML or PDF file using 'resume export resume.pdf'
Publish the resume to the official registry by logging into jsonresume.org
Set up a GitHub repository to version control the 'resume.json' file
Configure a GitHub Action to auto-deploy changes to the registry or personal domain
All Set
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"Highly praised by developers for its 'data-first' approach and version control compatibility, though non-technical users find the CLI setup difficult."
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The standard modular Python linter for PEP 8 compliance and cyclomatic complexity management.

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