Zeal
DevDocs
Dash for macOS
Velocity
DASH
Papaya Global
Greenboard
Zest
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
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.
Zeal MatplotlibZeal'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, Matplotlib should be more popular than Zeal. It has been mentiond 114 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 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
Zeal might be what you are looking for - https://zealdocs.org/. - Source: Hacker News / 7 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] โ both amazing projects, but somehow they feel more complex, and the formats they use arenโt 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
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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.
NumPy - NumPy is the fundamental package for scientific computing with Python
Velocity - Velocity gives your Windows desktop offline access to over 150 API documentation sets provided by...
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
