devdocs.el
Dash-iOS
devdocs.el | Dash-iOS | |
---|---|---|
12 | 8 | |
271 | 7,136 | |
- | - | |
6.0 | 0.0 | |
19 days ago | about 3 years ago | |
Emacs Lisp | Objective-C | |
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
devdocs.el
- Emacs Viewer for Devdocs.io
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DevDocs
emacs integration: https://github.com/astoff/devdocs.el
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Emacs Advent Calendar 9: devdocs, code-cells, dREPL, etc.
devdocs.el: Documentation reader with quick and handy lookup commands. It is similar to the built-in Info reader, but has a different (likely larger) document coverage.
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Zeal is an offline documentation browser for software developers
I use this (https://github.com/astoff/devdocs.el) emacs package to download devdocs locally and access them from emacs, which is pretty great.
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I've found what I've been looking for!!
Support for other languages is a good point. Most don't ship info documentation. :P If you want something inside a normal Emacs buffer rather than a separate browser-like application, maybe you'd enjoy devdocs.io and astoff's devdocs.el package.
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How I’m a Productive Programmer With a Memory of a Fruit Fly
+1. I'm using an amazing Emacs package that treats DevDocs kinda like Dash: https://github.com/astoff/devdocs.el
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How to show pandas, numpy documentation in el-doc?
info-like: https://github.com/astoff/devdocs.el
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What is your setup for python coding in emacs?
devdocs.el to read documentation
- devdocs.el: Emacs viewer for DevDocs
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Emacs help interface for languages other than emacs-lisp
Wow, so many devdocs packages! Of the two I mentioned, devdocs-browser is the one in the emacs-devdocs-browser repo you found. But the other one I was thinking of didn't turn up in your search: devdocs. I wasn't aware of the others you found, probably because they aren't on GNU ELPA or on MELPA.
Dash-iOS
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Show HN: I made a better Perplexity for developers
Hi HN,
I am Jiayuan, and I'm here to introduce a tool we've been building over the past few months: Devv (https://devv.ai). In simple terms, it is an AI-powered search engine specifically designed for developers.
Now, you might ask, with so many AI search engines already available—Perplexity, You.com, Phind, and several open-source projects—why do we need another one?
We all know that Generative Search Engines are built on RAG (Retrieval-Augmented Generation)[1] combined with Large Language Models (LLMs). Most of the products mentioned above use indexes from general search engines (like Google/Bing APIs), but we've taken a different approach.
We've created a vertical search index focused on the development domain, which includes:
- Documents: These are essentially the single source of truth for programming languages or libraries; I believe many of you are users of Dash (https://kapeli.com/dash) or devdocs (https://devdocs.io/).
- Code: While not natural language, code contains rich contextual information. If you have a question related to the Django framework, nothing is more convincing than code snippets from Django's repository.
- Web Search: We still use data from search engines because these results contain additional contextual information.
Our reasons for doing this include:
- The quality of the index is crucial to the RAG system; its effectiveness determines the output quality of the entire system.
- We focus more on the Index (RAG) rather than LLMs because LLMs evolve rapidly; even models performing well today may be superseded by better ones in a few months, and fine-tuning an LLM now has relatively low costs.
- All players are currently exploring what kind of LLM product works best; we hope to contribute some different insights ourselves (and plan to open source parts of our underlying infrastructure in return for contributions back into open source communities).
Some brief product features:
- Three modes: - Fast mode: Offers quick answers within seconds. - Agent mode: For complex queries where Devv Agent infers your question before selecting appropriate solutions. - GitHub mode(currently in beta): Links directly with your own GitHub repositories allowing inquiries about specific codebases.
- Clean & intuitive UI/UX design.
- Currently only available as web version but Chrome extension & VSCode plugin planned soon!
Technical details regarding how we build our Index:
- Documents section involves crawling most documentation sources using scripts inspired by devdocs project’s crawler logic then slicing them up according function/symbol dimensions before embedding into vector databases;
- Codes require special treatment beyond just embeddings alone hence why custom parsers were developed per language type extracting logical structures within repos such as architectural layouts calling relationships between functions definitions etc., semantically processed via LMM;
- Web searches combine both selfmade indices targeting developer niches alongside traditional API based methods. We crawled relevant sites including blogs forums tech news outlets etc..
For the Agent Mode, we have actually developed a multi-agent framework. It first categorizes the user's query and then selects different agents based on these categories to address the issues. These various agents employ different models and solution steps.
Future Plans:
- Build a more comprehensive index that includes internal context (The Devv for Teams version will support indexing team repositories, documents, issue trackers for Q&A)
- Fully localized: All of the above technologies can be executed locally, ensuring privacy and security through complete localization.
Devv is still in its very early stages and can be used without logging in. We welcome everyone to experience it and provide feedback on any issues; we will continue to iterate on it.
[1]: https://arxiv.org/abs/2005.11401
- Dash for macOS – API Documentation Browser, Snippet Manager
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DevDocs
Not a complete answer, but I hope Markdown is or becomes the standard for offline docs and text for local/offline consumption. I only ever write in markdown anyway (usually with http://obsidian.md).
The closest thing I know of for a service like RSS to download documents is [Dash for macOS - API Documentation Browser, Snippet Manager - Kapeli](https://kapeli.com/dash).
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At Least Skim The Manual
There are so many great sources of information out there and tools to improve the developer experience of documentation. Dash can make some of these online resources local for instant search and access on-the-go, if you prefer.
- Developer account removed by Apple – $108,878 frozen
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How can I download the rust docs to my phone?
For iOS, there used to be dash, but I'm learning now that was discontinued.
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Apple is threatening to remove Farmhouse unless they give 30%
If developer accounts count, then you can run unsigned / self signed code on iOS as well. That's how Dash for iOS was distributed for some time when it was banned from the App store: https://github.com/Kapeli/Dash-iOS
What are some alternatives?
emacs-devdocs-browser
zeal - Offline documentation browser inspired by Dash
devdocs-lookup - Quick Emacs API lookup on devdocs.io
DockAltTab - Window preview app for MacOS (on the dock) using AltTab.
helm-dash - Browse Dash docsets inside emacs
devdocs - API Documentation Browser
counsel-dash - Browse Dash docsets using Ivy
BetterMultitasking - iPadOS tweak to run iPhone apps natively on iPad.
devdocs-macos - An unofficial DevDocs API Documentation viewer for macOS.
ChatSecure-iOS - ChatSecure is a free and open source encrypted chat client for iOS that supports OTR and OMEMO encryption over XMPP.
Dash-User-Contributions - Dash repo of user contributed docsets
nvim-devdocs - Neovim DevDocs integration