Radio Receiver is an HTML5 webpage that uses an USB digital TV receiver plugged into your system to capture radio signals, demodulates them in the browser, and plays the demodulated audio through your computer's speakers or headphones. This is called SDR (Software-Defined Radio), because all the radio signal processing is done by software running in the computer instead of purpose-built hardware.
Radio Receiver was written to work with an RTL-2832U-based DVB-T (European digital TV) USB receiver, with a R820T tuner chip. This hardware configuration is a little dated, but support for newer tuner chips is planned.
npm install esbuildnpm run buildnpm run dist
Output in dist/. dist/apps/radioreceiver/ is where the web front-end stuff is, dist/tools/ is where the utility stuff lives.
Picking apart the demo site, it looks like you only need to serve dist/apps/radioreceiver/ because the only three files that get pulled down from it are index.html, main.js, and favicon.png (which implies that everything in there needs to be uploaded).
Requires a browser that supports the HTML5 USB API, which is pretty much everything but Firefox.
PyBonsai is inspired by the amazing cbonsai repository. Whereas cbonsai grows bonsai trees, PyBonsai trees look more like trees you would find in a forest (oak, ash and so on). The trees are configurable via CLI options to make them different sizes, more or less complex, grow at different rates, or use a different set of characters. See useage for more information. Currently, PyBonsai supports 4 different types of tree.
Has no external dependencies.
A feature-rich Software Defined Radio (SDR) spectrum analyzer with real-time visualization, demodulation, and signal analysis capabilities. Real-time spectrum analysis and waterfall display. Multiple visualization modes (spectrum, waterfall, persistence, surface, gradient). Supports FM, AM, SSB demodulation with audio output. Frequency scanning and signal classification. Bookmark management for frequencies of interest. Automatic Gain Control (AGC). Recording capabilities for both RF and audio. Band presets for common frequency ranges. Configurable display and processing parameters.
Heatwave is a real-time RF spectrum analyzer that creates a waterfall display using RTL-SDR and other SoapySDR-compatible devices. It provides a visual representation of RF activity across frequency ranges with various analysis tools and features.
It uses the Linux framebuffer for graphics drawing!
A small library for legible console plotting in Python. Uses plain ASCII and some ANSI colors to do it.
A Jupyter notebook that noodles over using waterfall visualizations to analyze AWS Cloudwatch logs. Uses Matplotlib and Numpy.
sjvisualizer is a data visualization and animation library for Python for time-series data.
Tries to be easy to use. Give it a file of data (the examples given are .xlsx files, can probably use others) and it seems to know what to do if it thinks it's time-series data.
Has an actual website with more detailed and elaborate examples, including background information: https://www.sjdataviz.com/software
Awesome Regex curates the best regular expression tools, tutorials, libraries, and other resources. It covers all major regex flavors, and currently includes especially deep coverage of regular expressions in JavaScript.
Use Python to map a website's external facing links. And then apply D3 to visualize those outbound connections as a network graph.
A Python package on top of matplotlib to create 'cyberpunk' style plots with 3 additional lines of code. After importing the package, the cyberpunk stylesheet (dark background etc.) is available via plt.style.use. The line glow and 'underglow' effects are added via calling add_glow_effects.
Go to their editor. Paste in a well-formed data document. Watch it generate a graph for you out of the data. You can even download the generated image. No API yet.
Setup process:
cd jsoncrack.compnpm installcd srcpnpm buildcd ..
You want to copy the contents of the out/ subdirectory up to your web server because that's where all the business is.
stree is a CLI tool designed to visualize the directory tree structure of an S3 bucket. By inputting an S3 bucket/prefix and utilizing various flags to customize your request, you can obtain a colorized or non-colorized directory tree right in your terminal.
Welcome to PY-SDR v2.0, a powerful real-time spectrum visualization tool built using PyQt5 and Matplotlib. This application leverages the capabilities of RTL-SDR (Software Defined Radio) to provide a dynamic and interactive representation of radio frequency spectra.
Real-Time Spectrum Analysis: Capture and analyze radio frequency spectra in real-time with a customizable FFT size. 3D and 2D Waterfall Views: Visualize the spectrum data in both 3D and 2D waterfall plots for a comprehensive understanding. Set your desired RTL-SDR parameters, including sample rate, center frequency, and gain. Easily adjust the capture duration, FFT size, and other parameters to suit your needs.
An interactive visualization (with simple explanations) of how large language models work.
MesoWx is a real-time HTML front-end for visualizing personal weather station data. It provides a real-time graph and console display, and dynamic graphs of your weather station history allowing you to explore the details of any recorded time period in your data.
MesoWx displays data from a database and does not itself interface with any weather station hardware directly, however, being built upon Meso it supports an HTTP API for remotely adding data, which allows integration with existing weather station software. MesoWx integrates well with Weewx and should support any weather station that it supports.
Requires quite a bit of configuration and background work (like setting up another database for this extension to use exclusively) so read the docs before deciding to set it up.
AKA the "I'm not a climate scientist but I play one on the internet" dashboard.
A curated dynamic collection of websites offer a interesting and interactive experience for users. With real-time data (most of it), engaging maps, and visually stunning data visualizations, this collection is a treasure for enthusiasts of air industry, space, history, world statistics and more!
Open-source, self-hosted alternative to CARTO and Foursquare Studio for data scientists, analysts and engineers. State-of-the art WebGL-powered map visualizations and spatial analysis based on deck.gl. Tested at 100Mb and 1M rows. Efficient query result caching on Amazon S3 or Google Cloud Storage. Side-by-side SQL editor and support for CSV and GeoJSON file uploads.
NiceGUI handles all the web development details for you. So you can focus on writing Python code. Anything from short scripts and dashboards to full robotics projects, IoT solutions, smart home automations and machine learning projects can benefit from having all code in one place. Offers all of the HTML user interface bits you'd expect. Flexible layout by default, supports HTML, CSS and Markdown. Charts, tables, diagrams, 3d visualization, automatic refresh.
Pretty heavy dependencies, but at least pip handles that for you.
A curated list of awesome ASD-B tools, projects, images, resources and other shiny things.