Zeal
DevDocs
Dash for macOS
Velocity
DASH
Papaya Global
Greenboard
Zest
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
Zeal is a free and open-source offline documentation browser for developers. You download docsets for the languages, frameworks, and libraries you use, and Zeal lets you search across all of them at once and jump straight to the symbol, class, or function you need. Because everything is stored locally, lookups are instant and work with no internet connection, which makes Zeal useful on flights, on locked-down networks, or any time you want to stay focused without a browser full of tabs.
Zeal is a native desktop application rather than a web wrapper, so it launches quickly and stays light on resources. It requires no account and includes no built-in tracking, and it runs on both Linux and Windows. Docsets cover hundreds of technologies and can be added or updated from within the app.
ZealZeal's answer
Zeal's answer
C++ and Qt 6, with Qt WebEngine (Chromium) rendering the documentation pages. SQLite powers the search index, libarchive handles docset extraction, and the build uses CMake and Ninja.
Zeal's answer
Zeal started in 2013 as a free, open-source way to get Dash-style offline documentation on Linux, where Dash (macOS-only) was not available. It adopted the same docset format, grew Windows support, and has been developed in the open ever since, maintained by a small team in their spare time with contributions from the community.
Zeal's answer
Software developers who look up reference documentation many times a day: languages, frameworks, libraries, and tools. More broadly, anyone who wants a personal reference library that works without internet access. The docset catalog is developer-focused today and gradually broadening.
Zeal's answer
Compared to Dash, Zeal is free, open-source, and runs on Linux and Windows rather than macOS.
Compared to web-based tools like DevDocs, Zeal is a native desktop application that works with no connection at all, supports a much larger docset catalog, and can be summoned from anywhere with a global shortcut. Compared to searching the web, lookups are instant, ad-free, and exactly scoped to the libraries you actually use.
Zeal's answer
Zeal combines things that usually come as trade-offs: it is fully offline, native, and free.
All documentation is stored locally and searched with instant fuzzy matching across every docset you have installed at once. It uses the same docset format as Dash, so the catalog covers every major language, framework, and tool, while running on Linux and Windows as open-source software under GPL-3.0-or-later.
Based on our record, Python should be more popular than Zeal. It has been mentiond 300 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.
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 — giving your coding assistant the same offline, instant, version-accurate access to docs that you'd want for yourself. - Source: dev.to / 7 months ago
Zeal might be what you are looking for - https://zealdocs.org/. - Source: Hacker News / 9 months ago
I find that self hosting "devdocs" [1] and having zeal (on linux) [2] solve a lot of these problems with the offline docs. [1] https://github.com/freeCodeCamp/devdocs. - Source: Hacker News / about 1 year ago
Yeah, I keep thinking that CHM was the peak format for offline docs. Today we have Kiwix [0] and Dash/Zeal [1] – both amazing projects, but somehow they feel more complex, and the formats they use aren’t as ubiquitous. [0]: https://kiwix.org/en/ [1]: https://kapeli.com/dash for macOS, https://zealdocs.org/ for others. - Source: Hacker News / over 1 year ago
There's also Zeal (https://zealdocs.org/) which is basically the same as Dash but open source and runs on non-Mac devices. - Source: Hacker News / over 2 years ago
> When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a Python binary" from... anywhere. Other than the python-build-standalone project. Are you sure this is right about macOS? I just had a look inside the macOS installer from python.org... - Source: Hacker News / about 1 month 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 / 4 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 / 4 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 — no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 5 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: - “Save this data” - “Get this data” - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 8 months ago
DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Dash for macOS - Dash is an API Documentation Browser and Code Snippet Manager. Dash searches offline documentation of 200+ APIs and stores snippets of code. You can also generate your own documentation sets.
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
