rpi_rtlsdr_weather_station is Python code, based on https://dash.plotly.com to show weather data from a wireless weather station to a web page, served from a raspberry pi. Wireless data from the weather station is received with a RTL-SDR dongle and decoded by https://github.com/merbanan/rtl_433/.
The code is tested with a Fine Offset Electronics WH1080/WH3080 compatible Weather Station (Alecto WS-4000).
Omnivore is a cross-platform app for modern hardware (running linux, MacOS and Windows) to work with executables or media images of Atari 8-bit, Apple ][+, and other retrocomputer machines and game consoles.
I'm using Flask to host some simple REST APIs for custom Huginn agents.
- expenses.py - Uses the Plaid API to get transactions and expenses filed.
- logger.py - The agents's logging service.
A silly microblogging site, like Twitter but for crabs.
ssh-audit is a tool for ssh server and client configuration auditing. Analyzes client and server configuration, connection negotiation parameters, and cryptographic settings and outputs a security report. Has no dependencies.
Passhunt is a simple tool for searching of default credentials for network devices, web applications and more. Search through 523 vendors and their 2084 default passwords.
GPUtil is a Python module for getting the GPU status from NVIDA GPUs using nvidia-smi. GPUtil locates all GPUs on the computer, determines their availablity and returns a ordered list of available GPUs. Availablity is based upon the current memory consumption and load of each GPU. The module is written with GPU selection for Deep Learning in mind, but it is not task/library specific and it can be applied to any task, where it may be useful to identify available GPUs.
nvidia-smi aside, all of its dependencies are in the basic Python install.
pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet.
pyspread expects Python expressions in its grid cells and returns Python objects, which makes a spreadsheet specific language obsolete. Each cell returns a Python object that can be accessed from other cells. These objects can represent anything including lists or matrices. Has a built-in renderer that interfaces with matplotlib for showing visualizations and graphics. Other Python modules can be imported and referenced as cells. Import CSV, export CSV, PDF, and SVG.
The latest stable release v1.1.3 of pyspread runs on Python 2.7.x. A Python 3 compatible version that runs on Python 3.6+ is available as a beta.
Git repo: https://gitlab.com/pyspread/pyspread
Jupyter recompiled into WASM so that it'll run in a web browser natively.
JupyterLite is a JupyterLab distribution that runs entirely in the browser built from the ground-up using JupyterLab components and extensions. Not all the usual features available in JupyterLab and the Classic Notebook will work with JupyterLite, but many already do!
Can be installed with pip.
MultiBootUSB is a cross platform* software/utility to create multi boot live Linux on a removable USB disk. It is similar to UNetbootin but many distros can be installed, provided you have enough space on the disk. MultiBootUSB also provides an option to uninstall distro(s) at any time, if you wish. Also supports persistent storage volumes for some live OSes. Can also uninstall live OSes that it's installed.
There must be only one partition on the flash drive in question, and it must be formatted (mine was formatted VFAT).
A simple interactive BASIC interpreter written in Python 3. It is based heavily on material in the excellent book Writing Interpreters and Compilers for the Raspberry Pi Using Python by Anthony J. Dos Reis. However, I have had to adapt the Python interpreter presented in the book, both to work with the BASIC programming language and to produce an interactive command line interface. The interpreter therefore adopts the key techniques for interpreter and compiler writing, the use of a lexical analysis stage followed by a recursive descent parser which implements the context free grammar representing the target programming language.
The interpreter is a homage to the home computers of the early 1980s, and when executed, presents an interactive prompt ('>') typical of such a home computer. Commands to run, list, save and load BASIC programs can be entered at the prompt as well as program statements themselves.
The BASIC dialect that has been implemented is slightly simplified, and naturally avoids machine specific instructions, such as those concerned with sound and graphics for example.
Web browsers are ubiquitous, but how do they work? This book explains, building a basic but complete web browser, from networking to JavaScript, in a thousand lines of Python.
A django-framework self-hosted invest statistics tool. Works well in analysis index-based investments.
MiniTorch is a diy teaching library for machine learning engineers who wish to learn about the internal concepts underlying deep learning systems. It is a pure Python re-implementation of the Torch API designed to be simple, easy-to-read, tested, and incremental. The final library can run Torch code. The project was developed for the course Machine Learning Engineering at Cornell Tech.
Github: https://github.com/minitorch/
A utility which searches entire social networks for a supplied username and prints the profiles it finds.
English readme: https://github.com/snooppr/snoop/blob/master/README.en.md
Recoll WebUI is a Python-based web interface for Recoll text search tool for Unix/Linux.
This is an updated clone of Koniu's original version on GitHub, which has not been updated lately, and is now slightly obsolete.
As compared to the original, this version has an additional dependancy when running the webui-standalone.py server (i.e. not with apache): it uses the python3-waitress module which must be installed. This makes webui-standalone quite suitable for moderate multiaccess loads with no authentication needs.
Required to plug Recoll into Searx.
Dynamic web based reports/dashboards in Python. Write a little bit of code to define the dashboard and populate the layout, and treat the rest like Python. Seems pretty straightforward. Has a built-in DSL to make defining some parts of a dashboard easier to do. Also has a CLI tool that you can use to interactively build dashboards without having to stop and start the server again and again. Even has a REST API that can be used to update the page's widgets in the background, so you can push instead of pull.
Bokeh is a Python library for creating interactive visualizations for modern web browsers. It helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming datasets. With Bokeh, you can create JavaScript-powered visualizations without writing any JavaScript yourself.
Can run as a server - that's what you'll want to grep the docs to figure out how to do.
Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users leverage Redash to explore, query, visualize, and share data from any data sources. Their work in turn enables anybody in their organization to use the data. Every day, millions of users at thousands of organizations around the world use Redash to develop insights and make data-driven decisions.
Can use data from REST APIs, direct database connections, CSV files, and more.
Has its own REST API, also.
Very heavy - Postgres, Redis, Celery... not something you can just throw up in a hurry.