Find web libraries for technical books and low-volume automation, noting audience, public/private status, resource type, access method (free/donation/paid), clearnet vs darknet, topics, leaked video courses, non-technical and recreational content, grey areas such as OSINT and scraping, and scam or illegal activity (to be discouraged in scoring). Score candidates 1–100 with backing evidence, output a ranked feature matrix with vanity metrics, and surface authoritative catalogs and review-site mentions.
This report covers 53 discovered candidates — 24 lawful/recommended platforms and 29 discouraged, high-risk services — scored 5–100 on an editorial fit scale built from evidence completeness and alignment with technical coverage, lawful access, and a documented low-volume automation path. It is a discovered set, not the complete universe of web libraries; private/invite-only tracker coverage is thin because authoritative public evidence was sparse. All scored rows are clearnet; darknet presence was not operationally assessed.
Score is editorial fit (evidence + lawful access + automation path), not a crowdsourced rating. Hover or tap a bar for the full profile. Discouraged rows are risk intelligence, never access recommendations.
Picked from the top of the matrix: technical breadth, clear access terms, and an official low-volume automation interface.
From 211 catalog/review mentions across university library guides, OER directories and review pages. A mention count measures pages found, not quality; numeric “ratings” may be ranks copied from list pages. DOAB and OAPEN lead as open-access book discovery infrastructure even though they did not make the final top-24 official-page shortlist.
Click a header to sort. Blank cells mean unresolved or not stated — not zero. Discouraged rows link only the government, court, security or trade warning source, never the service.
| # | Platform | Score | Class | Access | Automation | Topics | Scale | Evidence |
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29 shadow libraries, piracy trackers and leaked-course services, listed strictly as risk intelligence with the enforcement evidence beside each. No access instructions are given and domains are not linked. Scores 5–22 reflect heavy penalties for legal exposure and scam risk.
Method: 53 discovered candidates (24 lawful, 29 discouraged) compiled from official product pages, university library guides, court records, FBI/DOJ material, trade bodies and security reporting — 25 independent source hosts, with no single URL backing more than 5 rows (9.4%). The 1–100 fit score is editorial, weighting technical breadth, access clarity, official APIs/OAI-PMH/OPDS/metadata export, restrictions and collection metrics; shadow libraries and leaked-course sites are heavily penalized. 211 catalog/review mentions inform the mentions section (top 10 shown). Vanity metrics are self-reported scale claims. Long topic and audience strings were shortened for space; several warning rows rely on a single source and are lower-confidence. Automate only via documented interfaces, respecting API terms, robots.txt, rate limits, licenses, DRM and institutional contracts.