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Tools/Papers with Code/vs Connected Papers
Papers with Code

Papers with Code

ai-research
vs
Connected Papers

Connected Papers

ai-research

Papers with Code vs Connected Papers — Comparison

Pain: 0/1008 integrations8 features
15 integrations8 features
The Bottom Line

Papers with Code excels in providing a comprehensive repository of AI research papers linked with code implementations, offering effective tools for collaboration and research tracking. Connected Papers, on the other hand, is distinguished by its visual representation of academic literature connections, appealing to researchers focused on visual exploration and trend analysis. While specific metrics like star ratings or download numbers are not mentioned, both tools are endorsed by the academic community for their unique offerings.

Best for

Papers with Code is the better choice when detailed code examples and benchmark datasets are crucial in enhancing theoretical and practical machine learning projects for small research teams.

Best for

Connected Papers is the better choice when visualizing and exploring the interconnected literature landscape is key for mediums to large research teams focusing on interdisciplinary studies.

Key Differences

  • 1.Papers with Code offers direct code implementation links for practical understanding, while Connected Papers focuses on visual graph exploration without direct code emphasis.
  • 2.Connected Papers supports multi-language functionality, which can aid international research teams, whereas Papers with Code currently offers English-only access.
  • 3.Papers with Code provides daily email updates with trending papers, a feature not available in Connected Papers, which focuses instead on static visual exploration.
  • 4.Connected Papers includes mobile support and .bib format downloads, enhancing research efficiency across devices, features not explicitly mentioned for Papers with Code.
  • 5.Papers with Code integrates with social platforms like Twitter and Medium for broader sharing, while Connected Papers emphasizes academic resource integrations such as arXiv and IEEE Xplore.

Verdict

Papers with Code is ideal for engineering leaders who prioritize direct code access and integration with popular sharing and collaboration platforms, catering to efficient AI research development. Connected Papers, with its visual approach and extensive bibliographic tool integrations, suits those investigating interdisciplinary connections and visual trend representation. Both tools offer substantial benefits, but their unique features will appeal differently depending on the research goals and team requirements.

Overview
What each tool does and who it's for

Papers with Code

Your daily dose of AI research from AK

Papers with Code receives praise for its extensive catalog of machine learning research papers coupled with code implementations, making it a valuable resource for both learning and project development. Users appreciate the integration of code, which aids in practical understanding and application of theoretical work. However, a few users note that some papers lack comprehensive code examples or have discrepancies between reported and reproduced results. While it is generally seen as a free and indispensable tool for researchers and developers, there are mentions of resource constraints potentially limiting its expansiveness.

Connected Papers

A unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work.

Connected Papers is highly praised for its unique visual approach to discovering and exploring academic literature, which is beneficial for researchers and scientists. Users appreciate features like mobile support, integration with arXiv, downloads in .bib format, multi-origin graphs, and links to code implementations, which enhance research efficiency. Some users reported server performance issues during spikes in user visits, reflecting a need for infrastructure scaling. The overall sentiment around pricing is not explicitly mentioned, suggesting it may not be a significant concern compared to the tool's functionality and growing reputation in the academic community.

Key Metrics
42
Mentions (30d)
12
Mention Velocity
How discussion volume is trending week-over-week

Papers with Code

-79% vs last week

Connected Papers

+100% vs last week
Where People Discuss
Mention distribution across platforms

Papers with Code

Reddit
96%
YouTube
4%

Connected Papers

Reddit
48%
Twitter/X
48%
YouTube
5%
Community Sentiment
How developers feel about each tool based on mentions and reviews

Papers with Code

19% positive76% neutral5% negative

Connected Papers

13% positive86% neutral1% negative
Pricing

Papers with Code

subscription + tiered

Connected Papers

tiered
Use Cases
When to use each tool

Papers with Code (6)

Staying updated on the latest AI researchFinding code implementations for academic papersIdentifying benchmark datasets for experimentsCollaborating with peers on research projectsConducting literature reviews efficientlyExploring trending topics in AI research

Connected Papers (6)

Identifying key research trends in a specific fieldFinding foundational papers for a new research projectExploring interdisciplinary connections between different fieldsVisualizing the evolution of a research topic over timeCollaborating with peers by sharing visual graphsPreparing literature reviews with a comprehensive overview of related works
Features

Shared (1)

User-friendly interface for easy navigation

Only in Papers with Code (7)

Daily email updates with trending papersSearchable database of research papersCode implementations linked to papersBenchmark datasets associated with researchFiltering options by categories and tagsCollaboration tools for researchersCitation tracking for papers

Only in Connected Papers (7)

Graph-based visualization of academic papersAbility to explore related papers through a visual graphSearch functionality to find specific topics or authorsFiltering options based on publication year and relevanceOption to save and share custom graphsIntegration with citation management toolsSupport for multiple languages
Integrations

Only in Papers with Code (8)

GitHub for code repositoriesGoogle Scholar for citation trackingMendeley for reference managementSlack for team notificationsTwitter for sharing trending papersResearchGate for academic networkingZotero for bibliographic managementMedium for publishing summaries of papers

Only in Connected Papers (15)

ZoteroMendeleyEndNoteGoogle ScholarResearchGateORCIDPubMedarXivScopusIEEE XploreSpringerLinkACM Digital LibraryJSTORWeb of ScienceSemantic Scholar
Developer Ecosystem
13
GitHub Repos
—
5,748
GitHub Followers
—
2
npm Packages
—
4
HuggingFace Models
—
Pain Points
Top complaints from reviews and social mentions

Papers with Code

token usage (1)API costs (1)

Connected Papers

down (2)API costs (1)spending too much (1)critical (1)
Top Discussion Keywords
Most mentioned keywords from community discussions

Papers with Code

token usage (1)API costs (1)

Connected Papers

down (2)API costs (1)spending too much (1)critical (1)
Product Screenshots

Papers with Code

Papers with Code screenshot 1

Connected Papers

Connected Papers screenshot 1
What People Talk About
Most discussed topics from community mentions

Papers with Code

open source22
model selection20
api19
workflow16
accuracy15
data privacy13
cost optimization12
documentation9

Connected Papers

api9
open source9
model selection9
accuracy8
cost optimization7
support6
performance6
scalability6
Top Community Mentions
Highest-engagement mentions from the community

Papers with Code

Papers with Code AI

Papers with Code AI

YouTubeneutral source

Connected Papers

After a long beta, we are launching! Connected Papers is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work. https://t.co/KgAbUxmz

After a long beta, we are launching! Connected Papers is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work. https://t.co/KgAbUxmzU0

Twitter/Xby @ConnectedPapers source
Company Intel
research
Industry
information technology & services
3
Employees
4
Supported Languages & Categories

Only in Papers with Code (5)

AI/MLFinTechDevOpsSecurityDeveloper Tools
Frequently Asked Questions
Is Papers with Code or Connected Papers better for finding benchmark datasets?▼

Papers with Code is more suited for finding benchmark datasets associated with specific research papers.

How does Papers with Code pricing compare to Connected Papers?▼

Papers with Code offers a subscription model with tiered pricing, while Connected Papers' pricing structure is also tiered. Specific numbers for both are not disclosed, but pricing does not seem to present significant concerns in user feedback.

Which has better community support, Papers with Code or Connected Papers?▼

Both tools have cultivated community support, but Papers with Code's integration with various community and social platforms like ResearchGate and Twitter may provide broader networking capabilities.

Can Papers with Code and Connected Papers be used together?▼

Yes, they can complement each other, with Papers with Code providing code implementations and Connected Papers offering visual literature exploration, enhancing comprehensive research workflows.

Which is easier to get started with, Papers with Code or Connected Papers?▼

Papers with Code might be easier to start with due to its straightforward interface and practical code links, while Connected Papers may require familiarizing with its visual graph interface for maximum benefit.

View Papers with Code Profile View Connected Papers Profile