GetOnboard VS Captum · Model Interpretability for PyTorch

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

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Summarize

GetOnboard summarize

Onboard lets you enter the link for any GitHub repo and turns into a subject matter expert on it. You can ask our AI chat questions to find where in the repo certain functionality is, where a specific code change should be made, and more.

GetOnboard Landing Page

Captum · Model Interpretability for PyTorch summarize

Captum · Model Interpretability for PyTorch Landing Page

Compare Details

GetOnboard details

Categories AI Code Assistant, Code Explanation, AI Developer Docs, AI Developer Tools
GetOnboard Website https://getonboard.dev
Added Time July 23 2023
GetOnboard 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 GetOnboard?

To use Onboard, simply enter the link for a GitHub repo and start exploring. You can ask our AI chat questions to locate specific functionality, identify where code changes should be made, and more.

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 GetOnboard and Captum · Model Interpretability for PyTorch

Core features of GetOnboard

  • The core features of Onboard include: - AI-powered codebase navigation - Chat-based Q&A with the AI - Cloning GitHub repositories - Support for finding code locations and functionality

Core features of Captum · Model Interpretability for PyTorch

  • Multi-Modal
  • Built on PyTorch
  • Extensible

Compare Use Cases

Use cases for GetOnboard

  • Onboard is primarily designed to assist developers in quickly understanding and navigating unfamiliar codebases. It can be useful for onboarding new team members, exploring open-source projects, and troubleshooting code issues.

Use cases for Captum · Model Interpretability for PyTorch

  • Interpretability research
Compare Traffic/Monthly Visitors

GetOnboard's traffic

GetOnboard is the one with 0 monthly visits and 00:00:00 Avg.visit duration. GetOnboard has a Page per visit of 0.00 and a bounce rate of 0.00%.

Visit Over Time

Monthly Visits 0
Avg·visit Duration 00:00:00
Page per Visit 0.00
Bounce Rate 0.00%
May 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

Sorry, there are no data

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 GetOnboard are: Mail 0, Direct 0, Search 0, Social 0, Referrals 0, Display Ads 0

Mail
0
Direct
0
Search
0
Social
0
Referrals
0
Display Ads
0
May 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: GetOnboard or Captum · Model Interpretability for PyTorch?

Captum · Model Interpretability for PyTorch might be a bit more popular than GetOnboard.As you can see, GetOnboard has 0 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.

GetOnboard has an Avg.visit duration of 00:00:00, while Captum · Model Interpretability for PyTorch has an Avg.visit duration of 00:09:37. Also, GetOnboard has a page per visit of 0.00 and a Bounce Rate of 0.00%. Captum · Model Interpretability for PyTorch has a page per visit of 3.82 and a Bounce Rate of 33.31%.

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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