Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Dash for macOS
Zeal
DevDocs
Velocity
iTerm2
Kaleidoscope
Devhints
Obsidian.md
Matplotlib Dash for macOSOnce 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.
Matplotlib might be a bit more popular than Dash for macOS. We know about 114 links to it since March 2021 and only 94 links to Dash for macOS. 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.
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
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 / over 1 year ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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.
NumPy - NumPy is the fundamental package for scientific computing with Python
DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Velocity - Velocity gives your Windows desktop offline access to over 150 API documentation sets provided by...
