ynqa/jnv

Interactive JSON filter using jq

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Summary Information

Updated 14 minutes ago
Added to GitGenius on September 11th, 2026
Created on March 18th, 2024
Open Issues & Pull Requests: 31 (+0)
GitHub issues: Enabled
Number of forks: 76
Total Stargazers: 6,104 (+0)
Total Subscribers: 17 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 41.9 days
Mean response time: 98.4 days
90th percentile: 324.1 days
Tracked items: 23

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 5% of issues opened in the past year have been closed. Three people close 95% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 15
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 543 days
Stale 30+ days: 15
Stale 90+ days: 14

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • feature request (4)
  • bug (2)
  • v0.5.0 (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

jnv is a command-line tool that provides an interactive JSON filter using jq syntax.

The tool addresses the friction of manually constructing jq filters when exploring unfamiliar JSON structures. Rather than requiring users to write complete filter expressions upfront, jnv presents an interactive prompt where users can build and test jq filters incrementally. As users type, the tool evaluates their filter against the input JSON and displays results in real time, allowing them to refine their query through immediate feedback. This interactive approach transforms jq from a write-once tool into an exploratory interface.

jnv suits developers who frequently work with JSON data at the command line, particularly when inspecting API responses, configuration files, or Kubernetes manifests where the structure may not be immediately familiar. The interactive prompt with autocomplete support makes it valuable for learning jq syntax without consulting documentation. It works well in workflows where you need to understand JSON structure before committing to a permanent filter, or when you want to experiment with different filter approaches quickly.

The project shows consistent development activity with regular commits addressing bug fixes and feature refinements. The maintainer responds to issues and pull requests, indicating active stewardship of the codebase. The tool maintains a focused scope around the core interactive filtering experience rather than attempting to extend jq's capabilities themselves.