sspipe VS kindleServer

Compare sspipe vs kindleServer and see what are their differences.

kindleServer

This project serve HTML files (and a few more) saved in your computer with a UI suitable for Kindle web browser. On top of that, it include a Read Mode (thanks to ReadabiliPy) to display the text in a comfortable size without have to use the 'Article Mode' in Kindle web browser. (by edgartaor)
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sspipe kindleServer
1 4
145 154
0.0% -
0.0 0.0
almost 2 years ago about 2 years ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

sspipe

Posts with mentions or reviews of sspipe. We have used some of these posts to build our list of alternatives and similar projects.

kindleServer

Posts with mentions or reviews of kindleServer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-14.

What are some alternatives?

When comparing sspipe and kindleServer you can also consider the following projects:

siuba - Python library for using dplyr like syntax with pandas and SQL

cmdmp3 - Lightweight command-line MP3 players for Windows written in C

tsflex - Flexible time series feature extraction & processing

tessen - an interactive menu to autotype and copy pass and gopass data

concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.

pydigitize - Command line tool to easily scan documents into OCRd PDF/A files for archival.

seaborn - Statistical data visualization in Python

PDFCollate - Merge PDFs if your document scanner can't do duplex scanning

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

textstat - :memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.

Dask - Parallel computing with task scheduling

fwf - Interactively create sed/awk/grep/jq/etc commands with immediate feedback