FBReader
calibre
Amazon Kindle
Cool Reader
Sumatra PDF
Okular
Google Play Books
Librera Reader
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
FBReader
MatplotlibFBReader is recommended for readers who value customization in their reading experience and need support for various e-book formats. It's ideal for those who read on multiple devices and platforms, as it offers sync features and wide compatibility.
Based on our record, Matplotlib seems to be a lot more popular than FBReader. While we know about 114 links to Matplotlib, we've tracked only 10 mentions of FBReader. 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.
I use fbreader, it's probably in your disto's repository or you can get in from fbreader.org. Source: over 3 years ago
I've been using FBreader for years, and it can use the built in Android TTS. https://fbreader.org/. Source: over 3 years ago
Based on what's on ZLibrary, various formats, though principally PDF, ePub, Mobi (Kindle), DJVU (similar to PDF), FB2, and a few others. Most ebook readers (with the exception of Amazon's own Kindle reader) can read virtually all of these, some with extensions. E.g., FB Reader , PocketBook Reader , Onyx's Neoreader (BOOX) ... No... - Source: Hacker News / almost 4 years ago
I came across FBReader which looks great in principal, but it uses a Google Drive account to sync with no other options. Also it's no longer OSS from 2015 (which wouldn't have been a deal breaker for me). Source: about 4 years ago
I use FBreader on android and PC. It's insanely customizable. I sometimes use it it double-page layout, 'though I haven't tried comics. Source: about 4 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
calibre - Ebook manager, viewer & converter
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Amazon Kindle - Amazon Kindle software lets you read ebooks on your Kindle, iPhone, iPad, PC, Mac, BlackBerry, and...
NumPy - NumPy is the fundamental package for scientific computing with Python
Cool Reader - Fast and small cross-platform eBook reader for desktops and handheld devices
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.