RTutor は月間 2,247 訪問、前月比成長率 -60.2%、料金体系料金は要問い合わせ、無料を記録しています。Semantic Scholar は月間 8,198,672 訪問、成長率 +5.8%、料金体系無料を記録しています。
RTutor is a web app that turns plain-English requests into R (or Python) code, runs it against your uploaded data and returns results plus a downloadable HTML report. Built on large language models such as GPT-4o, it lets analysts upload a CSV, TSV or Excel file and explore distributions, plots, correlations and EDA reports without writing code.
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.
| 項目 / 指標 | | |
|---|---|---|
| 公式ドメイン | rtutor.ai | semanticscholar.org |
| 料金モデル | 料金は要問い合わせ、無料 | 無料 |
| 月間訪問数 | 2247 (2,247) | 819.87万 (8,198,672) |
| 前月比トラフィック増減 | -3401 (-60.2%) | +45.07万 (+5.8%) |
| 主要市場とシェア | 🇺🇸 アメリカ合衆国 (57.7%) | 🇺🇸 アメリカ合衆国 (22.9%) |
| 月間ダイレクト訪問数 | 1193 | 188.44万 |
| ユーザー評価 | 4 | 4.8 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |
RTutor is a web app that turns plain-English requests into R (or Python) code, runs it against your uploaded data and returns results plus a downloadable HTML report. Built on large language models such as GPT-4o, it lets analysts upload a CSV, TSV or Excel file and explore distributions, plots, correlations and EDA reports without writing code.
Upload CSV, TSV or Excel files and request analyses in plain English; RTutor generates the R or Python code and executes it for you.
Dedicated tabs for basic, categorical and numerical analysis, summary statistics, tables, correlation and GGpairs plots guide common workflows.
Generate multi-section EDA reports and download them as HTML documents in minutes.
In a session, previous questions and generated code become context, so you can refine charts and clean data conversationally.
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.
Search 241 million-plus publications from every scientific field using natural-language queries that match meaning rather than exact keywords.
Each indexed paper gets a one-sentence machine-generated TLDR so you can triage results before committing to reading the full text.
An augmented PDF reader that highlights citations, definitions, equations and figures inline, and shows which later papers cited the passage you are reading.
See how a paper was cited, whether citations were influential, and which references shaped the work — useful for literature reviews and citation chasing.
特化型Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
特化型Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
科学論文から証拠に基づいた直接的な回答を統合できますが、Semantic Scholarよりも生データの網羅性が劣ります。
自動化されたシステマティックレビューのデータ抽出とエビデンスの統合に優れていますが、インデックス化されている文献の範囲は狭めです。
特化型論文同士がどのように支持し合っているか、あるいは反論しているかを示す高度なスマート引用機能を提供しますが、全体のインデックスは小さめです。
特化型優れた視覚的引用コレクションと文献追跡のおすすめ機能を備えていますが、インラインの論文要約機能がありません。
特化型優れた視覚的引用コレクションと文献追跡のおすすめ機能を備えていますが、インラインの論文要約機能がありません。
問いを、ガバナンスの効いた信頼できる答えに変えるエージェント型分析プラットフォーム
特化型学術論文のつながりを視覚的にマッピングする優れたグラフ機能を提供しますが、従来のキーワード検索や全文閲覧ツールがありません。
特化型学術論文のつながりを視覚的にマッピングする優れたグラフ機能を提供しますが、従来のキーワード検索や全文閲覧ツールがありません。
データと対話して分析・グラフ・レポート・スライドを得る
文献レビューと監査可能なシステマティックレビューのためのAIネイティブ研究ワークスペース
特化型Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
特化型Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
特化型Organizes research fields into visual concept maps for exploratory discovery, but lacks granular paper recommendation feeds.
特化型Organizes research fields into visual concept maps for exploratory discovery, but lacks granular paper recommendation feeds.
