Dash for macOS
Zeal
DevDocs
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Python
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Dash for macOS PythonOnce you get use to it, you won't be able to imagine your life without Dash. It will save you a bit of time every day. Many times.
As a bonus you can use the "snippets" feature as a generic text-expander. That saves me tons of time when writing emails, too.
p.s. aText is not exactly a direct competitor; however, I replaced it through the snippets feature of Dash.
Based on our record, Python should be more popular than Dash for macOS. 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.
Dash for MacOS (proprietary, paid) has the documentation for over 200 APIs and over 100 cheat sheets, and the ability to generate documentation for packages for Swift, Python, Ruby, PHP, Java, Go, Rust, Scala, Dart, Haskell, Hex, Clojure. - Source: dev.to / about 2 months ago
This isn't a new idea for developer tools. DevDocs, Zeal, and Dash have offered offline documentation browsing for years. What's new is applying this architecture to AI agents โ giving your coding assistant the same offline, instant, version-accurate access to docs that you'd want for yourself. - Source: dev.to / 5 months ago
"the IDE had to be discoverable right away (which it was) and self-contained to offer you a complete development experience" This right here was the key to super flow state. Lightning fast help (F1), very terse and straightforward manuals. I have tried to replicate this with things like Dash (https://kapeli.com/dash), to some degree of success. The closest thing I had to this in windows was probably Visual Studio... - Source: Hacker News / 9 months ago
You're absolutely right about the root cause being outdated AI knowledge bases/training data. I agree, my solution doesn't address that directly. Where this actually shines is with local LLMs (Ollama, etc) - smaller models, no API costs, fully offline, and the AI gets fresh docs without waiting months for model retraining cycles. Your point about convincing major providers to integrate something like Dash... - Source: Hacker News / 12 months ago
Https://kapeli.com/dash for MacOS supports man pages just like any of its many other documentation sources. Just prefix the search query with `man:`. Absolute hall of fame app IMO. - Source: Hacker News / about 1 year 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 / 3 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
Zeal - A free, open-source offline documentation browser that puts documentation for every major language and framework one instant search away, on Linux and Windows.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Velocity - Velocity gives your Windows desktop offline access to over 150 API documentation sets provided by...
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
