Collection of blocklists to fill in the gaps
AI Analysis
A curated collection of blocklists and filter rules designed for ad-blocking and privacy tools like uBlock Origin, Brave, and AdGuard. It specializes in helping users avoid over-blocking through thoughtfully selected, efficient filter lists with guidance on setup strategies (Enhanced, Pro, Optimized). Best suited for privacy-conscious users and power users of content-blocking extensions who want curated recommendations rather than trial-and-error list selection.
Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.
AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.
Curated blocklists for uBlock Origin, focused on minimal-bloat filter selection
filterlists is a GitHub repository that curates and recommends blocklists specifically designed for uBlock Origin users. It provides categorized filter collections (Privacy, Annoyances, Security, All-Purpose) with explicit guidance on avoiding bloat and diminishing returns. The project targets power users and those seeking curated alternatives to default filter lists. Adoption appears concentrated among uBlock Origin communities, with moderate GitHub visibility but unverified production-scale metrics.
Created August 2021, the project emerged during the period of increasing ad-blocking fragmentation and complexity. It addresses a specific gap: users overwhelmed by filter list selection decisions and seeking pre-vetted, minimal-redundancy recommendations aligned with uBlock Origin's philosophy.
The repository gained 3,421 stars over approximately 5 years, averaging modest adoption growth. Star velocity is flat in recent weeks (0 stars gained in last 7 days as of July 2026), suggesting the project has reached a steady-state plateau rather than accelerating or declining. Activity appears consistent with the README's self-description as 'maintained,' with last commit occurring on evaluation date.
Adoption not verified. The repository does not document downstream usage metrics, integration counts, or user base size. GitHub stars (3,421) and forks (91) provide weak signals—star count is moderate for a reference project but does not confirm real-world deployment scale. No mention of analytics, surveys, or production telemetry. uBlock Origin community discussions on Reddit (referenced in README) likely contain anecdotal adoption, but quantitative evidence is absent.
Based on README, the project is not a software application but rather a curated collection of filter list URLs and instructions. It consists of categorized plaintext filter rules, configuration examples, and setup guidance. Architecture is fundamentally static/reference material rather than algorithmic code.
Not applicable—this is a reference/configuration repository, not executable code. README does not document validation processes, but mentions application to specific ad blockers (uBlock Origin, AdGuard, Brave, AdBlock Plus) with platform-specific instructions.
Last push on 2026-07-03 (evaluation date) indicates active monitoring. README badges state 'maintained: yes.' Commit history metadata not fully accessible, but consistent push pattern and README currency suggest the maintainer is actively refreshing recommendations rather than passively archiving. Pace appears deliberately measured rather than reactive to emergencies.
ADOPT IF: you use uBlock Origin and want vetted, minimal-bloat filter recommendations backed by reasoning about diminishing returns; you value reduced maintenance overhead from redundant lists; you trust the maintainer's curation philosophy. AVOID IF: you require programmatic filter list validation, automated testing, or SLA guarantees; you need multi-platform ad blocker support (repository is explicitly uBO-focused); you depend on real-time threat feeds or security-driven updates. MONITOR IF: you are building an ad blocker or filter list aggregator and considering this as a reference model; adoption signals remain weak, so viability as a canonical source is not yet proven at scale.
Independent dimensions
Mainstream potential
3/10
Technical importance
4/10
Adoption evidence
2/10
- Single-maintainer project with no visible succession plan or distributed governance; maintainer burnout or abandonment would halt updates.
- Adoption metrics are unverifiable; repository may have far less real-world impact than GitHub stars suggest, limiting its authority as a reference.
- Filter list landscape is adversarial and fast-moving (new ad formats, blocking techniques); slow update velocity relative to emergent threats could cause recommendations to decay.
- Repository is explicitly tailored to uBlock Origin; applicability to other ad blockers is limited or untested, constraining growth into adjacent platforms.
- No formalized process for list vetting, deprecation, or conflict resolution if recommended lists become hostile or unmaintained; curation relies on maintainer judgment.
filterlists will likely remain a niche reference resource for uBlock Origin power users and community moderators rather than a dominant platform. Steady maintenance without accelerating growth suggests it has found a stable role as a secondary resource. If ad blocker fragmentation increases, demand may grow; if unified defaults improve, demand may plateau further.
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Languages
No language breakdown available.
Information
- Last updated
- 1w ago
- Created
- 59mo ago
- Analyzed with
- anthropic/claude-haiku-4-5
Stars over time
Contributors over time
Top 100 contributors only — repos with more will plateau at 100.
Open issues
Open pull requests
No open pull requests.
Top contributors
Recent releases
No releases published yet.
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| Repository | Stars | Week Δ | Language | Score | Updated |
|---|---|---|---|---|---|
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3.4k | — | — | 7/10 | 1w ago |
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4.4k | — | Adblock Filter List | 8/10 | 8h ago |
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3k | — | Adblock Filter List | 8/10 | 8h ago |
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5.9k | — | Adblock Filter List | 8/10 | 9h ago |
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2.2k | — | Adblock Filter List | 7/10 | 2w ago |
filterlists explicitly provides supplementary, curated selections rather than replacing defaults. Positioning is 'fill in the gaps,' not compete for core functionality.
AdGuard publishes its own maintained filter lists; filterlists recommends AdGuard filters alongside others but is not a direct alternative—it's a curation layer.
These are foundational, widely-adopted filter standards. filterlists likely recommends them; the repo's value is in selective bundling and diminishing-returns guidance, not in replacing established lists.
Community-maintained annoyance filters; filterlists likely includes or references these rather than competes, functioning as a directory with curation principles.
Informal community guidance; filterlists offers a more formalized, version-controlled alternative for filter recommendations, but both serve the same audience through different channels.