# lluminy vs Stenography

lluminy records 0 monthly visits with 0% month-over-month growth and Freemium pricing. Stenography records 973 monthly visits with -44.8% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [lluminy](https://openaitools.app/tool/lluminy) | [Stenography](https://openaitools.app/tool/stenography) |
| :--- | :--- | :--- |
| Website URL | https://lluminy.com | https://stenography.dev |
| Categories | AI Documents Generator, AI Code Assistant, AI Developer Tools, AI Code Generator | AI Documents Generator, AI Code Assistant, AI API |
| Pricing Model | Freemium | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 0 | 973 |
| MoM Growth Rate | 0% | -44.8% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 386 |
| Review Score | 4.3 | 4.2 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## lluminy

lluminy takes aim at a job most teams avoid: writing and maintaining documentation. It is built for Python codebases specifically, and its promise is that you can turn an undocumented project into a clearly commented one without editing anything by hand. The tool analyses your code and produces docstrings, either for every function in scope or only for the functions that currently lack documentation.

The workflow is GitHub-centric. You connect your account, choose a repository — personal or organization — and select the files, directories or branches you want covered. lluminy then runs the generation and creates a pull request with the resulting docstrings, so review and merge happen in your normal Git process rather than through copy and paste. A one-click "add parameter across the pipeline" style of bulk work is not required; the tool focuses on comments only.

A deliberate design decision is that lluminy claims to work exclusively with docstrings and to leave the original code unchanged, which addresses the common worry that an LLM might silently rewrite logic while documenting it. Pricing is simple: a free tier for hobby projects and a $20/month Premium plan for teams with a 10M monthly token allowance. Generation is powered by Llama 3.3.

**Pricing & Plans:** Freemium. A free tier covers small hobby projects with limited AI token usage. The Premium plan is $20/month with a 10M/month AI token limit and priority support. Generation is powered by Llama 3.3.

- **AI docstring generation for Python:** The generator produces docstrings for functions across whole files, directories, branches or entire projects in minutes.
- **GitHub integration:** Connect your GitHub account and pick personal or organization repositories, then push results directly as a pull request.
- **Document all or fill gaps:** Document everything, or fill in only the functions that are missing docstrings, so you can adopt it gradually.
- **Original code preserved:** Per the developer, only docstrings are written or changed — original logic is left untouched to avoid hallucination-driven edits.
- **GitHub bot (coming soon):** Automated documentation suggestions for pull requests are in development as a GitHub bot.

**Strengths:** Cuts documentation work on Python codebases dramatically; Direct GitHub integration with pull-request output; Claimed to modify only docstrings, not original code; Flexible: document everything or only fill gaps

**Limitations:** Focused only on Python — other languages are not covered; Documentation is generated by a Llama 3.3-based model, so docstrings still warrant review; The GitHub bot for continuous PR suggestions is still 'coming soon'; Premium token limits can be reached quickly on very large production repositories

[Profile (Markdown)](https://openaitools.app/tool/lluminy.md)

## Stenography

Stenography tackles a persistent developer chore: keeping code documented. Its central feature, Autopilot, watches your codebase and documents it automatically as you save, so explanations stay close to the code they describe instead of drifting out of date.

Under the hood it is powered by an API that accepts a block of code and returns an explanation in plain English. Because that API is public, you can use it beyond the built-in integrations: build your own extension, wire it into a review bot, or explain snippets programmatically. Responses can be enriched with Stack Overflow suggestions and linked documentation from around the web, cutting down on manual searching.

Stenography is privacy-conscious by design — it describes a passthrough API that does not store your code. It is the work of Bram Adams, an OpenAI Developer Ambassador, and offers 250 free API invocations per month, making it easy to evaluate before committing to a paid plan.

**Pricing & Plans:** Stenography is freemium: the API includes 250 free invocations per month on VSC or your own extension. Paid plans are available for heavier use, and enterprise or custom arrangements are handled by contacting the team.

- **Autopilot documentation:** Autopilot documents entire codebases every time you hit save, so documentation keeps pace with your code.
- **Code explanation API:** Pass in code and receive an explanation in plain English, customizable to your needs through a public API.
- **Stack Overflow and doc suggestions:** Enrich generated explanations with Stack Overflow suggestions and documentation from across the web so you do not have to search manually.
- **Editor and tool extensions:** Integrations for editors and wherever code can be found, including the VSC extension.
- **Privacy-first design:** A passthrough API that does not store your code, keeping sensitive source on your own system.
- **Free monthly usage:** The API includes 250 free monthly invocations to try on VSC or your own extension.

**Strengths:** Automates documentation continuously via Autopilot; Public API lets you build your own integrations; Enriches explanations with Stack Overflow and linked docs; Privacy-first passthrough that does not store code

**Limitations:** Best value comes from the VSC/editor extensions, so CLI-only users get less; Autopilot quality depends on the underlying models used; The product's marketing and examples date from the GPT-3 era and updates are infrequent; Plain-English explanations still need review for critical code

[Profile (Markdown)](https://openaitools.app/tool/stenography.md)

## Frequently Asked Questions

### How do lluminy and Stenography compare in monthly traffic?

lluminy has 0 monthly visits, while Stenography has 973. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

lluminy has a month-over-month growth rate of 0%; Stenography has -44.8%.

### How does pricing compare?

lluminy: Freemium. Freemium. A free tier covers small hobby projects with limited AI token usage. The Premium plan is $20/month with a 10M/month AI token limit and priority support. Generation is powered by Llama 3.3. Stenography: Freemium, Paid, Contact for Pricing. Stenography is freemium: the API includes 250 free invocations per month on VSC or your own extension. Paid plans are available for heavier use, and enterprise or custom arrangements are handled by contacting the team.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 2 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 3 | [DeepWiki by Cognition](https://openaitools.app/tool/deepwiki-by-congnition) | 879,539 | -3.1% | Free | AI-generated wikis and chat for any public GitHub repository | [.md](https://openaitools.app/tool/deepwiki-by-congnition.md) |
| 4 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |
| 5 | [Mintlify](https://openaitools.app/tool/mintlify) | 248,197 | -22.9% | Freemium, Free Trial, Paid, Contact for Pricing | The intelligent documentation platform that keeps itself up to date | [.md](https://openaitools.app/tool/mintlify.md) |
| 6 | [Workik](https://openaitools.app/tool/workik) | 167,268 | -26.3% | Freemium | Context-aware AI that plans, codes, tests, and documents across your engineering workflows | [.md](https://openaitools.app/tool/workik.md) |
| 7 | [Theneo](https://openaitools.app/tool/theneo) | 31,850 | -17.3% | Freemium, Paid, Contact for Pricing | API docs that humans and AI agents ship together | [.md](https://openaitools.app/tool/theneo.md) |
| 8 | [DocuWriter.ai](https://openaitools.app/tool/docuwriter-ai) | 23,235 | +16% | Free Trial, Paid | AI code documentation for any codebase, kept current automatically | [.md](https://openaitools.app/tool/docuwriter-ai.md) |
| 9 | [Documentation.AI](https://openaitools.app/tool/documentation-ai) | 17,513 | -10.6% | Freemium, Contact for Pricing | Self-updating AI documentation, knowledge bases and API references | [.md](https://openaitools.app/tool/documentation-ai.md) |
| 10 | [GitLoop](https://openaitools.app/tool/gitloop) | 9,501 | -22.9% | Freemium | Context-aware AI assistant that knows your entire Git codebase | [.md](https://openaitools.app/tool/gitloop.md) |

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Source: https://openaitools.app/compare/lluminy-vs-stenography

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