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What Is Papers with Code Used For: Features, Reviews & Alternatives

Free resource for ML papers, code, datasets, methods, and leaderboards.

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Editorially updated Oct 5, 2025

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The overview

What Papers with Code is for

Papers with Code serves as a centralized, browser-first hub for discovering and tracking advancements in machine learning research. It directly addresses the challenge of navigating the rapidly evolving landscape of AI by linking academic papers with their corresponding open-source implementations, datasets, and performance benchmarks on standardized leaderboards.
Key features

1Core Capabilitie

  • SOTA Leaderboard View
  • Paper-Code Repository Linker
  • Dataset Catalog Browser
  • Methodology Taxonomy Explorer

2Specialized Workflow

  • Task-Specific Research Search
  • Model Performance Comparison Panel
  • Community Submission Portal

Who it helps

Useful ways to use Papers with Code

01
Benchmarking Model Architecture
ML engineers rapidly identify and compare state-of-the-art model architectures and their implementations for specific tasks, informing their own model development and experimentation
02
Evaluating Production-Ready Model
Data scientists and MLOps teams assess the practical performance of published models on relevant benchmarks, aiding in the selection of robust solutions for deployment or fine-tuning
03
Accelerating AI Feature Prototyping
AI startup teams quickly discover existing codebases and pre-trained models for novel features, significantly reducing R&D cycles for proof-of-concept development

A practical path

How to use Papers with Code

Discover SOTA for a Task

Navigate to the 'Tasks' section from the homepage, select a specific machine learning domain (e.g., 'Computer Vision' -> 'Object Detection'), and browse the associated leaderboards to identify top-performing models and their metric

External signals

Reviews & reputation

AI aggregated
4.9/ 5

Aggregated review score

An indispensable, community-driven platform for ML researchers and practitioners to track state-of-the-art advancements, discover open-source implementations, and benchmark models across diverse tasks.

G2LarryLudwigProduct ReviewSmartCustomerTrustpilot

Quick answers

Frequently asked questions

1Is Papers with Code truly free to use, and how is it sustained?⌄

Yes, Papers with Code is a completely free resource. It was acquired by Meta AI in 2021 and is maintained as a public good for the AI research community, without any subscription fees or premium features.

2How frequently are the leaderboards and paper listings updated?⌄

Leaderboards are updated continuously as new research is submitted and validated. The platform integrates with arXiv for new paper ingestion and relies on community contributions and internal curation for code links and performance updates, ensuring a near real-time reflection of SOTA.

3Can I contribute my own research paper and code to Papers with Code?⌄

Absolutely. Researchers can submit their papers and associated code via the 'Submit a Paper' portal. Submissions are reviewed for relevance and accuracy before being integrated into the platform's leaderboards and listings.

4What is the process for verifying the performance metrics on the leaderboards?⌄

Performance metrics are typically extracted directly from the published papers or their official code repositories. While Papers with Code strives for accuracy, it relies on the integrity of the submitted research. Community flags and internal checks help maintain data quality.

5Does Papers with Code host the datasets or code directly?⌄

No, Papers with Code primarily acts as an aggregator and linker. It provides direct links to external sources for datasets (e.g., official project pages, Hugging Face Datasets) and code repositories (e.g., GitHub, GitLab), rather than hosting the files itself.

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