Recap VS Captum · Model Interpretability for PyTorch

Compare Recap VS Captum · Model Interpretability for PyTorch, what is the difference between Recap and Captum · Model Interpretability for PyTorch?

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Summarize

Recap summarize

Recap is a Chrome extension that utilizes ChatGPT to summarize webpages. Compared to other existing extensions, Recap's main feature is to split content into passages, allowing users to summarize specific sections of an article, rather than the entire text.

Recap Landing Page

Captum · Model Interpretability for PyTorch summarize

Captum · Model Interpretability for PyTorch Landing Page

Compare Details

Recap details

Categories AI Code Assistant, Code Explanation, AI Developer Docs, AI Developer Tools
Recap Website https://recapext.xyz
Added Time May 06 2023
Recap Pricing --

Captum · Model Interpretability for PyTorch details

Categories AI Developer Docs, AI Developer Tools, AI Code Assistant
Captum · Model Interpretability for PyTorch Website https://captum.ai
Added Time April 07 2024
Captum · Model Interpretability for PyTorch Pricing --

Comparison of usage

How to use Recap?

To use Recap, simply add the browser extension to Chrome. Once added, you can select any portion of a webpage and click on the Recap extension icon. ChatGPT will then generate a summary of the selected content.

How to use Captum · Model Interpretability for PyTorch?

Install the Captum library, create and prepare your model, define input and baseline tensors, select an interpretability algorithm, and apply it to your model.

Compare Pros between Recap and Captum · Model Interpretability for PyTorch

Core features of Recap

  • The core features of Recap include the ability to select and summarize any portion of a webpage using ChatGPT. It provides a seamless integration within the Chrome browser and is completely free to use.

Core features of Captum · Model Interpretability for PyTorch

  • Multi-Modal
  • Built on PyTorch
  • Extensible

Compare Use Cases

Use cases for Recap

  • Recap can be used in various scenarios, such as quickly summarizing news articles, blog posts, research papers, and any other web content. It helps users save time by condensing long texts into concise summaries.

Use cases for Captum · Model Interpretability for PyTorch

  • Interpretability research
Compare Traffic/Monthly Visitors

Recap's traffic

Recap is the one with 5.3K monthly visits and 00:00:43 Avg.visit duration. Recap has a Page per visit of 0.28 and a bounce rate of 44.70%.

Visit Over Time

Monthly Visits 5.3K
Avg·visit Duration 00:00:43
Page per Visit 0.28
Bounce Rate 44.70%
Jan 2023 - Apr 2024 All traffic:

Captum · Model Interpretability for PyTorch's traffic

Captum · Model Interpretability for PyTorch is the one with 48.5K monthly visits and 00:09:37 Avg.visit duration. Captum · Model Interpretability for PyTorch has a Page per visit of 3.82 and a bounce rate of 33.31%.

Visit Over Time

Monthly Visits 48.5K
Avg·visit Duration 00:09:37
Page per Visit 3.82
Bounce Rate 33.31%
Dec 2023 - Apr 2024 All traffic:

Geography

The top 5 countries/regions for Recap are:France 19.75%, United States 14.54%, India 12.30%, Argentina 11.68%, Sweden 11.30%

Top 5 Countries/regions

France
19.75%
United States
14.54%
India
12.30%
Argentina
11.68%
Sweden
11.30%

Geography

The top 5 countries/regions for Captum · Model Interpretability for PyTorch are:United States 26.62%, Korea 20.12%, Switzerland 8.63%, Italy 5.59%, Singapore 5.21%

Top 5 Countries/regions

United States
26.62%
Korea
20.12%
Switzerland
8.63%
Italy
5.59%
Singapore
5.21%

Traffic Sources

The 6 main sources of traffic to Recap are: Referrals 87.52%, Direct 12.48%, Mail 0.00%, Search 0.00%, Social 0.00%, Display Ads 0.00%

Referrals
87.52%
Direct
12.48%
Mail
0.00%
Search
0.00%
Social
0.00%
Display Ads
0.00%
Jan 2023 - Apr 2024 Worldwide Desktop Only

Traffic Sources

The 6 main sources of traffic to Captum · Model Interpretability for PyTorch are: Search 49.51%, Direct 32.59%, Referrals 9.75%, Mail 5.05%, Social 3.11%, Display Ads 0.00%

Search
49.51%
Direct
32.59%
Referrals
9.75%
Mail
5.05%
Social
3.11%
Display Ads
0.00%
Dec 2023 - Apr 2024 Worldwide Desktop Only

Which is better: Recap or Captum · Model Interpretability for PyTorch?

Captum · Model Interpretability for PyTorch might be a bit more popular than Recap.As you can see, Recap has 5.3K monthly visits, while Captum · Model Interpretability for PyTorch has 48.5K monthly visits. So more people choose Captum · Model Interpretability for PyTorch. So the odds are that people will recommend Captum · Model Interpretability for PyTorch more on social platforms.

Recap has an Avg.visit duration of 00:00:43, while Captum · Model Interpretability for PyTorch has an Avg.visit duration of 00:09:37. Also, Recap has a page per visit of 0.28 and a Bounce Rate of 44.70%. Captum · Model Interpretability for PyTorch has a page per visit of 3.82 and a Bounce Rate of 33.31%.

The main users of Recap are France, United States, India, Argentina, Sweden, with the following distribution: 19.75%, 14.54%, 12.30%, 11.68%, 11.30%.

The main users of Captum · Model Interpretability for PyTorch are United States, Korea, Switzerland, Italy, Singapore, with the following distribution: 26.62%, 20.12%, 8.63%, 5.59%, 5.21%.

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