yokoffing/filterlists

Collection of blocklists to fill in the gaps

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yokoffing/filterlists has 3.5k+ stars and 80+ forks on GitHub and was last pushed on Oct 12, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 1 hour 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: 88
Total Stargazers: 3,618 (+0)
Total Subscribers: 32 (+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

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 3
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 292 days
Stale 30+ days: 3
Stale 90+ days: 2

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
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.