Connected Papers vs Hugging Face

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Connected Papers

Connected Papers

Visual literature maps that reveal related work around a seed paper, helping researchers explore fields, spot clusters, and find influential prior art quickly.

Pricing Free / $6 per month
Category research
Difficulty Beginner
Type Web App
Status Active
Hugging Face

Hugging Face

Open hub for models datasets and apps plus managed services like Inference Endpoints and dedicated deployments with usage based pricing.

Pricing Free / Pro $9 per month
Category research
Difficulty Beginner
Type Web App
Status Active

Feature Tags Comparison

Only in Connected Papers

researchgraphscholardiscoveryliterature

Shared

None

Only in Hugging Face

modelsdatasetsinferencetransformershub

Key Features

Connected Papers

  • • Graph of related papers via co-citation analysis
  • • Cluster views to identify schools of thought and methods
  • • Filters for date influence and distance from seed
  • • Snapshots and exports for sharing reading lists
  • • Links out to publisher pages and repositories
  • • Free tier plus Academic and Business plans

Hugging Face

  • • Model and dataset hub with versioning and Spaces
  • • Pro accounts for private repos and higher limits
  • • Inference Endpoints starting at low hourly rates
  • • Autoscaling dedicated deployments from the Hub
  • • Org workspaces with roles and permissions
  • • Transformers libraries and eval tools

Use Cases

Connected Papers

  • → Map a field around a seminal work in minutes
  • → Assemble a syllabus or lab reading plan by cluster
  • → Validate novelty and check for near-duplicate ideas
  • → Find bridges between subfields for new directions
  • → Identify review papers to onboard collaborators
  • → Export candidates to your reference manager

Hugging Face

  • → Host and share models with your team
  • → Deploy OSS models without managing GPUs
  • → Run demos in Spaces for feedback
  • → Automate CI pushes and evaluations
  • → Migrate research to production endpoints
  • → Serve long context chat or RAG models

Perfect For

Connected Papers

graduate students PIs applied scientists startup R&D and analysts who need fast field maps and curated reading paths

Hugging Face

ml engineers researchers startups and enterprises standardizing on open ecosystems while needing managed deployment paths

Capabilities

Connected Papers

Co-citation Graphs Professional
Recency & Influence Intermediate
Lists & Exports Basic
Academic & Business Intermediate

Hugging Face

Hub models datasets spaces Professional
Inference Endpoints Professional
Transformers and evals Intermediate
Cloud and silicon partners Intermediate

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