Access open-source code for AI research papers instantly
CatalyzeX is a browser extension that helps you find and use code from research papers without manual searching. It integrates with sites like Google Scholar and Arxiv, making it easy to implement new AI models. This tool is trusted by over 500,000 engineers and researchers to accelerate their work.
Seamlessly integrates with academic and social platforms for code access
Directly retrieves open-source code linked to research papers
Works on Google, Arxiv, Scholar, Twitter, and more sites
This tool is best for:
Explore more niche AI tool websites by clicking on a tag* (works only if it has enough tools).
CatalyzeX can be integrated with these apps and services:
Recent data shows that CatalyzeX has 95.7K monthly visits (-3.0% decrease from the previous month), 47.0% bounce rate, and average 1.97 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by China contributing 16% of total traffic. SEO performance is shown by 5 tracked keywords, with "amr hilal," being the top-performing keyword with 240 monthly searches. See below for more info.
Monthly Visits
95.7K
Pages per Visit
1.97
Bounce Rate
47.0%
Average Time on Site
45s
| SEO Keyword | Volume | CPC |
|---|---|---|
| amr hilal, | 240 | - |
| generating 3d small binding molecules using shape-conditioned diffusion models with guidance | 10 | - |
| yolo architecture | 2.6K | $0.15 |
| 10.1109/mra.2025.3603931 | 140 | - |
| gita parkinson dataset | 130 | - |
| Source | Traffic Share |
|---|---|
| Direct | 37% |
| Search | 46% |
| Social | 2% |
| Referrals | 14% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 16% |
 | 16% |
 | 6% |
 | 5% |
 | 5% |
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