Continue VS Captum · Model Interpretability for PyTorch
Compare Continue VS Captum · Model Interpretability for PyTorch, what is the difference between Continue and Captum · Model Interpretability for PyTorch?
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Summarize
Continue summarize
Continue is the open-source autopilot for software development built to be deeply customizable and continuously learn from development data. It's a VS Code extension that brings the power of ChatGPT to your IDE
Continue Landing Page
Captum · Model Interpretability for PyTorch summarize
Captum · Model Interpretability for PyTorch Landing Page
Compare Details
Continue details
| Categories | AI Code Assistant, AI Code Generator, AI Code Refactoring, AI Developer Tools, Code Explanation |
| Continue Website | https://continue.dev |
| Added Time | August 10 2023 |
| Continue 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 Continue?
To use Continue, you can download and install the VS Code extension from the GitHub repository. Once installed, you can leverage its various features. You can highlight sections of code and ask Continue for auto-completion, code generation, refactoring, or explanations. You can also edit code in a natural language by instructing Continue to perform refactorings or write new code. Moreover, Continue can generate files from scratch, automatically generating Python scripts, React components, 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 Continue and Captum · Model Interpretability for PyTorch
Core features of Continue
- Task-based auto-complete
- Code generation and refactoring
- Code explanation
- Editing code in natural language
- File generation for different programming languages
Core features of Captum · Model Interpretability for PyTorch
- Multi-Modal
- Built on PyTorch
- Extensible
Compare Use Cases
Use cases for Continue
- Generating, refactoring, and explaining code sections
- Answering coding questions
- Seeking alternative perspectives on code
- Refactoring code through natural language instructions
- Creating new files and code from scratch
Use cases for Captum · Model Interpretability for PyTorch
- Interpretability research
Continue's traffic
Continue is the one with 136.6K monthly visits and 00:04:15 Avg.visit duration. Continue has a Page per visit of 3.49 and a bounce rate of 42.92%.
Visit Over Time
| Monthly Visits | 136.6K |
| Avg·visit Duration | 00:04:15 |
| Page per Visit | 3.49 |
| Bounce Rate | 42.92% |
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% |
Geography
The top 5 countries/regions for Continue are:United States 30.72%, China 8.40%, Germany 4.22%, France 3.96%, India 3.81%
Top 5 Countries/regions
 | 30.72% |
 | 8.40% |
 | 4.22% |
 | 3.96% |
 | 3.81% |
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
| 26.62% |
 | 20.12% |
 | 8.63% |
 | 5.59% |
 | 5.21% |
Traffic Sources
The 6 main sources of traffic to Continue are: Direct 70.38%, Search 17.86%, Social 9.54%, Referrals 2.23%, Mail 0.00%, Display Ads 0.00%
Direct | 70.38% |
Search | 17.86% |
Social | 9.54% |
Referrals | 2.23% |
Mail | 0.00% |
Display Ads | 0.00% |
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% |
Which is better: Continue or Captum · Model Interpretability for PyTorch?
Continue might be a bit more popular than Captum · Model Interpretability for PyTorch.As you can see, Continue has 136.6K monthly visits, while Captum · Model Interpretability for PyTorch has 48.5K monthly visits. So more people choose Continue. So the odds are that people will recommend Continue more on social platforms.
Continue has an Avg.visit duration of 00:04:15, while Captum · Model Interpretability for PyTorch has an Avg.visit duration of 00:09:37. Also, Continue has a page per visit of 3.49 and a Bounce Rate of 42.92%. Captum · Model Interpretability for PyTorch has a page per visit of 3.82 and a Bounce Rate of 33.31%.
The main users of Continue are United States, China, Germany, France, India, with the following distribution: 30.72%, 8.40%, 4.22%, 3.96%, 3.81%.
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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