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Voiden is an offline, Git-native API client built around plain text files. Instead of storing requests in cloud workspaces or JSON collections, Voiden runs HTTP requests directly from Markdown files in your repository.
Requests, documentation, and tests live side-by-side in the same file and execute in place. Every part of a request โ endpoints, headers, auth, params โ can be structured and reused, making API work modular and version-controlled like code.
There are no exports, no sync steps, and no hidden storage layer. Git is the workspace. Markdown is the format. Your API requests are just files in your repo.
Voiden is designed for developers who already version control everything else โ and expect their API tooling to work the same way.
Voiden.md
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Based on our record, Python should be more popular than Voiden.md. It has been mentiond 299 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I've personally enjoyed following projects like Voiden. It's been interesting to see how quickly the project has evolved and how much the community has contributed. Recently they've even added support for AI agents like Claude and Codex through skills, which feels like a glimpse of where developer tools are heading next. - Source: dev.to / 26 days ago
Great to see this space so active.I see this a TUI. You can also try out Voiden : https://voiden.md/ which has a different approach to this. Also YAML is a interesting choice - any reasons for this. - Source: Hacker News / about 2 months ago
I think you will like https://voiden.md/ - some what similar to what you did here. - Source: Hacker News / 2 months ago
I too built something similar but as an API Client - https://voiden.md/ - Obsidian really picking up ! - Source: Hacker News / 2 months ago
This is very interesting - instead of curl you can integrate https://voiden.md/ maybe. - Source: Hacker News / 2 months ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
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