chronika/config.toml.example at main · rtulke/chronika · GitHub

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# Browser History Timeline Tool Configuration

[browsers]
# Enable/disable specific browsers
chrome = true
firefox = true
safari = true        # macOS only
brave = true         # Privacy-focused Chromium browser
opera = true         # Opera browser
edge = true          # Microsoft Edge (Chromium-based)
vivaldi = true       # Vivaldi browser (Chromium-based)
tor = true           # Tor Browser (Firefox-based)
chromium = true      # Open source Chromium
librewolf = true     # Privacy-focused Firefox fork

[output]
# Output format: "timeline", "json", "csv", "stats", "top-domains", "browser-usage", "patterns"
# Advanced formats: "splunk", "elk", "gephi", "timeline-json"
format = "timeline"

# Maximum number of entries to retrieve
limit = 100

# Number of days back to search
days_back = 7

[display]
# Show full URLs in timeline view
show_url = true

# Show visit count in timeline view
show_visit_count = true

# Date format for display
date_format = "%Y-%m-%d %H:%M:%S"

[filters]
# Domain filtering (leave empty to include all)
domain_whitelist = []  # Example: ["github.com", "stackoverflow.com"]
domain_blacklist = []  # Example: ["ads.google.com", "facebook.com"]

# Keyword search in titles and URLs (leave empty for no filtering)
keywords = []  # Example: ["python", "security", "linux"]

# Visit count filtering
min_visit_count = 1
max_visit_count = null  # null = no limit, or specify number like 100

# Time range filtering (ISO format: YYYY-MM-DDTHH:MM:SS)
time_from = null  # Example: "2025-06-01T00:00:00"
time_to = null    # Example: "2025-06-07T23:59:59"

# Use regex for domain and keyword filtering
use_regex = false

[analytics]
# Enable statistical analysis
enable_stats = true

# Group browsing patterns by: "hour", "day", "weekday", "month"
group_patterns_by = "hour"

# Number of top domains to show in analysis
top_domains_limit = 20

# Include subdomains in domain analysis
include_subdomains = true

[exports]
# Include metadata in exports (timestamps, source info)
include_metadata = true

# Anonymize URLs for privacy (replace paths with hashes)
anonymize_urls = false

# Compress output files
compress_output = false

# Include user agent information (if available)
include_user_agent = false

# Example configurations for different use cases:

# Security Analysis Configuration:
# [filters]
# keywords = ["login", "admin", "password", "auth"]
# min_visit_count = 1
# [output]
# format = "splunk"

# Privacy-focused Analysis:
# [exports]
# anonymize_urls = true
# include_metadata = false
# [filters]
# domain_blacklist = ["facebook.com", "google.com", "amazon.com"]

# Developer Workflow Analysis:
# [filters]
# domain_whitelist = ["github.com", "stackoverflow.com", "docs.python.org"]
# keywords = ["python", "git", "api"]
# [output]
# format = "stats"

# Time-based Analysis:
# [filters]
# time_from = "2025-06-01T09:00:00"
# time_to = "2025-06-01T17:00:00"
# [analytics]
# group_patterns_by = "hour"
# [output]
# format = "patterns"