CatalyzeX
Browser extension to find code implementations for machine learning papers.
- Status
- Generally available
- Last checked
- Unverified
- License
- Proprietary
- Pricing
- Free tier
What it is
CatalyzeX is a browser extension that automatically finds and displays code implementations for machine learning papers across various platforms like Google, Twitter, Arxiv, Scholar, etc. It streamlines the process of locating relevant code snippets, enhancing research efficiency.
CatalyzeX stands out by offering a seamless way to find and access relevant code implementations directly from machine learning papers across multiple platforms, enhancing research and development efficiency.
When it fits — and when it doesn’t
A good fit for
Researchers who need quick access to code implementations of machine learning algorithms mentioned in various online platforms.
Developers integrating specific machine learning models into their projects and looking for practical examples from academic papers.
Look elsewhere if
Users requiring real-time updates or continuous integration with other development tools.
Projects that require extensive customization beyond the provided code snippets.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited language support beyond JavaScript and Python
The tool primarily supports JavaScript for browser extension development, with limited official support for other languages.
- 02
Vendor lock-in due to proprietary nature of the tool
CatalyzeX is a commercial and proprietary product which may limit flexibility in customization and integration with open-source ecosystems.
- 03
Small community leading to limited support and resources
The tool has a relatively small user base, resulting in fewer community-driven solutions, plugins, and documentation.
- 04
Performance issues with heavy web pages or slow network connections
Users have reported slower page load times when the extension is active on resource-intensive websites.
What it does well
Automatically finds code implementations for machine learning papers.
Works across multiple platforms including Google, Twitter, Arxiv, Scholar.
Enhances research efficiency by providing quick access to relevant code snippets.
Pricing
- Free tier
- Yes
- Paid from
- —
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up CatalyzeX
Setup steps, common gotchas and what to check after 30 days.