Code documentation (15)
Snorkell
Automate human-like docstring/documentation for multiple programming languages.
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Starting price from $10/mo
Tool Information
Snorkell.ai is an AI-powered tool geared towards automated generation of documentation or docstrings for various programming languages such as Python, Java, Kotlin, JavaScript, and TypeScript. The tool is commonly used with version control systems like GitHub, GitLab, and Bitbucket. It aims to facilitate smooth coding practice by generating documentation on every pull request merge, keeping the docstring synchronized with the associated codebase. Unlike Python-exclusive tools like PyDoc that only produce syntactic docstrings, Snorkell.ai produces human-readable and understandable docstrings across multiple programming languages. It operates by accessing the latest commit files to create the docstring dynamically and does not retain your code on local storage, thus prioritizing code security. One noted feature of Snorkell.ai is the ability to review and suggest corrections to the auto-generated docstrings via the generated pull request, ensuring accuracy and reliability. The tool offers both free and paid tiers with varying degrees of repository support and other features, including on-premise support, proprietary AI models, and access to experimental features in the elite tier.
F.A.Q (20)
Snorkell.ai is an AI-powered tool that automatically generates documentation or docstrings for various programming languages. It works with version control systems like GitHub, GitLab, and Bitbucket. It generates documentation on every pull request merge, ensuring the docstring stays synchronized with the associated codebase. Notably, Snorkell.ai provides an ability to review and suggest corrections to the auto-generated docstrings through a pull request, offering both free and paid tiers with varying degrees of repository support and other benefits.
Snorkell.ai supports a range of programming languages, including Python, Java, Kotlin, JavaScript, and TypeScript.
Unlike Python-exclusive tools like PyDoc that only generate syntactic docstrings, Snorkell.ai generates docstrings that are human-readable and understandable. Moreover, it supports a more diverse set of programming languages than PyDoc, including Python, Java, Kotlin, JavaScript, and TypeScript.
Snorkell.ai integrates with version control systems such as GitHub, GitLab, and Bitbucket. It automates the generation and update of docstrings on every pull request merge, maintaining high synchronization with the codebase.
Snorkell.ai ensures code security by dynamically generating docstrings from the latest commit files without retaining any code on local storage.
Yes, users have the opportunity to review and suggest corrections to the auto-generated docstrings via the generated pull request. This feature guarantees accuracy and reliability of the generated docstring.
Snorkell.ai offers three pricing tiers. The free plan includes support for 3 daily commits for private repositories and unlimited commits for public repositories, along with 1 full repository documentation. The basic plan, priced at ₹830/month per repository, offers unlimited commits for 1 private repo alongside unlimited commits for public repos and 3 full repo documentation. The elite tier's pricing is available on request and comes with additional features.
Yes, the free plan of Snorkell.ai offers document generation support for all its supported programming languages.
The elite tier of Snorkell.ai offers on-premise support, access to proprietary AI models like GPT-4 and Mistral, private GPT keys, access to experimental features, and 24/7 support.
Yes, Snorkell.ai offers on-premise support as part of its elite tier.
Yes, Snorkell.ai provides access to experimental features, available with the elite tier of service.
Snorkell.ai automatically generates docstrings for Python via accessing the latest commit files on merging a pull request. It creates human-readable and understandable docstrings as opposed to syntactic docstrings produced by some other tools.
Yes, the basic plan of Snorkell.ai offers unlimited commits for 1 private repository, alongside unlimited commits and 3 full documentation for public repositories.
Yes, Kotlin is one of the supported programming languages for docstring generation by Snorkell.ai.
Snorkell.ai's proprietary AI models assist in docstring generation by enabling the creation of human-readable and understandable docstrings. These advanced models are built to comprehend the syntax and semantics of different programming languages and translate that understanding into meaningful, user-friendly documentation.
Yes, Snorkell.ai synchronizes the docstring with the associated codebase on every merge of a pull request, thus keeping the documentation up-to-date with the latest code changes.
No, Snorkell.ai does not retain code on local storage. It operates by accessing the latest commit files to dynamically generate the docstring, ensuring the privacy of your code.
Snorkell.ai generates human-readable and understandable docstrings for JavaScript, going beyond the simple syntactic representation of the code. It accesses the latest code commit and creates docstrings in a dynamic manner to ensure a smooth and accurate translation of the code functionalities.
Yes, Snorkell.ai supports TypeScript and can automatically generate human-readable and understandable docstrings for it.
Snorkell.ai's docstring generation is automated and dynamic. It stands apart from traditional docstring generation methods by generating human-readable and understandable docstrings, as well as enabling review and correction of auto-generated docstrings via pull requests. It synchronizes with the codebase on every pull request merge, maintaining documentation's accuracy and currency. It also prioritizes code security by not retaining your code on local storage.
Pros and Cons
Pros
- Multilingual docstring generation
- Supports version control systems
- Dynamic docstring creation
- Secured code handling
- Reviewable and correctable docstrings
- Free and paid tiers
- On-premise support available
- Access to experimental features
- Documentation on pull request merge
- Integrated with GitHub
- GitLab
- Bitbucket
- Human-readable and understandable docstrings
- Generates docstrings for Python
- Java
- Kotlin
- JavaScript
- TypeScript
- Doesnt retain code on local storage
Cons
- Limited language support
- Pricing can be prohibitive
- Dependency on pull request
- Possible inaccuracies in docstrings
- Manual review required
- No local code retention
- Limited repository support in free version
- On-premise support on elite only
- No immediate support for inaccuracies
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