yokoffing/filterlists

Collection of blocklists to fill in the gaps

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Summary Information

Updated 56 minutes ago
Type:Configuration / DotfilesCategory(s):Privacy & CryptographySecurity & Privacy
Added to GitGenius on September 19th, 2026
Created on August 29th, 2021
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 92
Total Stargazers: 3,575 (+0)
Total Subscribers: 33 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 20.5 hours
Mean response time: 7.6 days
90th percentile: 23.9 days
Tracked items: 89

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Issue Activity (beta)

Open issues: 3
New in 7 days: 2
Closed in 7 days: 1
Avg open age: 292 days
Stale 30+ days: 2
Stale 90+ days: 2

Recent activity

Opened in 7 days: 2
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (6)
  • bug (5)
  • documentation (3)
  • invalid (1)
  • needs more info (1)
  • question (1)
  • wontfix (1)

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Detailed Description

Filterlists is a curated collection of blocklists designed to fill gaps in ad-blocking and privacy protection across multiple platforms.

The project addresses the problem that standard ad-blocking configurations often either miss certain categories of unwanted content or include redundant rules that degrade performance. Its approach applies the principle of diminishing returns, recommending a carefully selected minimum set of filter lists that balance coverage with efficiency. Rather than advocating for maximum blocking, the tool emphasizes quality resources and avoidance of bloat, recognizing that more rules do not necessarily produce a better user experience.

The project is most suitable for users of uBlock Origin, AdGuard, and Brave who want evidence-based recommendations on which filter lists to enable. It provides specific guidance for platform-specific challenges, such as blocking server-side ads on Twitch through userscripts like AdGuard Extra with Violentmonkey, and handling YouTube ad-blocking across different uBlock Origin variants including the Lite version. The README does not compare the tool to alternative ad-blocking solutions but instead focuses on optimizing configuration within existing tools.

Development activity shows consistent maintenance with regular commits addressing filter list updates and configuration refinements. The project maintains active engagement with community feedback, particularly through references to relevant subreddit discussions where users report on the effectiveness of recommended configurations. Updates reflect ongoing changes in how platforms deliver ads and tracking, indicating the maintainers actively monitor shifts in the ad-blocking landscape.