linkdb 0.1.1

A zero-dependency CLI tool for managing curated project lists - zero dependencies, stdlib only

linkdb - terminal-first bookmarking.

linkdb is a simple, zero-dependency CLI tool for collecting and managing interesting project links (like "awesome" lists).

It lets you build a personal database of project URLs you want to remember and organize them locally with search, tags, and export tools.

Designed for people who enjoy discovering things on the internet and keeping track of what matters.

It consists of a single-file Python script using only the standard library. Python 3.8+.

Installation

pip install linkdb

or

# Clone and install
git clone https://github.com/user/linkdb.git
cd linkdb
uv sync

# Or just run directly
./linkdb.py --help

Quick Start

# Check data health
linkdb doctor

# Import to database
linkdb import

# List entries
linkdb list

# List with filters
linkdb list --stars-min 100 --language python --active-only

# Search
linkdb search synthesizer

# Add a new entry (auto-fetches GitHub metadata)
linkdb add -r "https://github.com/user/my-project" -c synthesis

# Add interactively
linkdb add -i

# Add multiple entries from file
linkdb add --file urls.txt -c synthesis

# Update an entry
linkdb update my-project -d "An awesome synth"

# Remove an entry
linkdb remove my-project

# Remove all entries in a category
linkdb remove --category obsolete-category

# Sort entries.json
linkdb sort
linkdb sort --by-category

# Generate README
linkdb generate -o README.md

# Create backup
linkdb backup create

# View change history
linkdb history
linkdb history my-project

CLI Commands Reference

Command	Description
add	Add entry (supports --file for batch, -i for interactive)
add-link	Add a link to an entry
backup create	Create a backup of JSON and database
backup restore	Restore from a backup
backup list	List available backups
category list	List all categories
category add	Add a new category
category rm	Remove a category
check	Validate URLs for broken links
dedupe	Find and merge duplicate entries
doctor	Check data integrity and health
export	Export database to JSON
generate	Generate README from database
github fetch	Fetch GitHub repository stats
github stale	Find unmaintained projects
github cache	Manage GitHub API cache
history	Show change history (optional entry filter)
import	Import JSON to database (supports --webloc for .webloc files)
list	List entries with filters
list-links	List links for an entry or all entries
remove	Remove entry (supports --category for bulk removal)
remove-link	Remove a link from an entry
search	Search entries
sort	Sort entries.json file
stats	Show database statistics
update	Update an existing entry

GitHub Subcommands

linkdb github fetch          # Fetch stats for all repos
linkdb github fetch --no-cache  # Bypass cache
linkdb github stale          # Find unmaintained projects
linkdb github cache stats    # Show cache statistics
linkdb github cache clear    # Clear expired cache entries

Backup Subcommands

linkdb backup create         # Create new backup
linkdb backup list           # List available backups
linkdb backup restore <file> # Restore from backup

Link Commands

Associate relevant links (articles, tutorials, videos) with entries:

# Add a link to an entry
linkdb add-link my-project https://example.com/article -t "Getting Started" --type article

# Add with note
linkdb add-link my-project https://youtube.com/watch?v=xyz -t "Tutorial" --type video -n "Great intro"

# List links for an entry
linkdb list-links my-project

# List all links (JSON format)
linkdb list-links -f json

# Remove a link
linkdb remove-link my-project https://example.com/article

Valid link types: article, tutorial, video, docs, discussion

Global Options

-v, --verbose    # Increase verbosity (use -vv for debug)
-q, --quiet      # Suppress non-error output
--version        # Show version

Environment Variables

LINKDB_JSON      # Override default entries.json path
LINKDB_DB        # Override default database path
GITHUB_TOKEN     # GitHub API token for higher rate limits

Data Format

Entries are stored in data/entries.json:

{
  "categories": ["synthesis", "dsp", "midi"],
  "entries": [
    {
      "name": "project-name",
      "category": "synthesis",
      "desc": "Project description",
      "url": "https://example.com",
      "repo": "https://github.com/user/project",
      "links": [
        {
          "url": "https://example.com/tutorial",
          "title": "Getting Started Guide",
          "link_type": "tutorial",
          "note": "Great introduction"
        }
      ]
    }
  ]
}

Each entry must have:

• name - unique project name
• category - from defined categories list
• desc - description
• url and/or repo - at least one link

Optional fields:

• links - array of related links (articles, tutorials, videos, docs, discussions)
• tags - comma-separated tags
• aliases - alternative names
• mirror_urls - additional URLs

Programmatic API

from linkdb import (
    add_entry, update_entry, remove_entry, get_entry,
    sort_entries_file, find_duplicates, create_backup
)

# Add entry (returns entry dict, raises ValueError/KeyError on error)
entry = add_entry("my-project", "dsp", "Description",
                  repo="https://github.com/...")

# Add from GitHub URL (auto-fetches metadata)
from linkdb import add_entry_from_github
entry = add_entry_from_github("https://github.com/user/repo", "dsp")

# Update entry
entry = update_entry("my-project", desc="New description")

# Get entry (returns dict or None)
entry = get_entry("my-project")

# Remove entry
entry = remove_entry("my-project")

# Sort entries file
sort_entries_file()                      # Sort by name
sort_entries_file(by_category=True)      # Sort by category, then name

# Find duplicates
duplicates = find_duplicates()

# Create backup
backup_path = create_backup()

Development

# Install dev dependencies
uv sync

# Run tests
make test

# Run full QA (test + lint + typecheck + format)
make qa

# Lint only
make lint

# Type check
make typecheck

License

MIT