它们的增长率如何比较？

Semantic Scholar 的月度环比增长率为 +5.8%；Taskade 为 -9.4%。

价格如何比较？

Semantic Scholar: 免费。Completely free. Semantic Scholar is operated as a non-profit academic project by the Allen Institute for AI, with no subscription tiers — accounts, search, Semantic Reader and the developer API are all available at no cost. Taskade: 免费增值。Freemium with monthly and yearly billing. The Free plan costs $0 and includes 3 published apps, 1 workspace, 250 MB storage, up to 10 automation runs a month and no monthly AI credits (you earn credits by inviting people or sharing on social). Starter is $6/user/month billed yearly ($72/year) covering 3 users, 10,000 AI credits, unlimited apps and workspaces, 3 agents, 5 GB storage and 350 runs. Pro is $10/user/month billed yearly ($120/year) for 10 users, 50,000 credits, unlimited agents and automations, 1,000 runs, 100 GB storage, custom domains and bring-your-own-key AI. Business and higher tiers remove user limits and add branding, SEO settings and unlimited custom domains. Separate plan choices apply inside the App Store version.

Semantic Scholar 和 Taskade 的替代方案有哪些？

相关分类中的其他工具包括 Notion, Perplexity, Consensus, Zapier, SciSpace。

Semantic Scholar vs Taskade — 流量对比 (819.87万 vs 53.97万)、价格与选型结论

Open AI Tools

Semantic Scholar vs Taskade — 流量对比 (819.87万 vs 53.97万)、价格与选型结论 | Open AI Tools

并排流量和规格矩阵

维度 / 指标	Semantic Scholar	Taskade
官方域名	semanticscholar.org	taskade.com
定价模式	免费	免费增值
月访问量	819.87万 (8,198,672)	53.97万 (539,714)
月度环比流量变化	+45.07万 (+5.8%)	-5.63万 (-9.4%)
主要市场与份额	🇺🇸 美国 (22.9%)	🇺🇸 美国 (18.5%)
直接访问 / 月	188.44万	23.22万
用户评分	4.8	4.5
支持的平台	网站	网站

Semantic Scholar

Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.

Semantic search across 240M+ papers

Search 241 million-plus publications from every scientific field using natural-language queries that match meaning rather than exact keywords.

AI-generated TLDR summaries

Each indexed paper gets a one-sentence machine-generated TLDR so you can triage results before committing to reading the full text.

Semantic Reader

An augmented PDF reader that highlights citations, definitions, equations and figures inline, and shows which later papers cited the passage you are reading.

Citation context and influence signals

See how a paper was cited, whether citations were influential, and which references shaped the work — useful for literature reviews and citation chasing.