A list of interesting aircraft - Governments, Dictators, Military, Historic and just plain odd.
Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is!
HPI is a Python package (named my), a collection of modules for social networks (posts, comments, favorites), reading (e-books and pdfs), annotations, todos and notes, health data, location data, photos & videos, browser history and instant messaging. The package hides the gory details of locating data, parsing, error handling and caching. You simply ‘import’ your data and get to work with familiar Python types and data structures.
This small script is a cheap and easy way to start with IoT projects. By using the great rtl_433 software and a cheap RTL-SDR receiver it will listen to all kinds of devices transmitting at the 433,92 Mhz frequency.
Quite likely it will receive information from weather stations in your area, if you don't own one, your neighbours might! It will also receive signals from remote controls that are popular to use to control the lights.
The gateway will receive information from the SDR receiver and publish them in JSON format to the topic sensors/rtl_433. (Without the slash!)
Subtopics are created from this JSON line allowing to easily subscribe to specific sensors.
Requires the rtl_433 utility as its data source.
An open-source low-code framework to build web apps, admin panels, BI dashboards, workflows, and CRUD apps with ease. Build UIs with YAML that is easy to read and write. Dynamic UIs with simple state management. Mobile friendly and responsive layouts out of the box.
Smashing, the spiritual successor to Dashing, is a Sinatra based framework that lets you build excellent dashboards. It looks especially great on TVs.
Written in Ruby. Has an extensive library of widgets; more can be added with SCSS, HTML, and a little Coffeescript. Has a REST API to push data to the dashboard (not pull it). Claims to have a simple DSL for accessing external data sources. Drag and drop construction. Has an extensive library of third party widgets, too.
A set of tools and libraries to access human-editable, plain text databases called recfiles. The data is stored as a sequence of records, each record containing an arbitrary number of named fields. They're basically flat files. Field names and types are specified with %, data is in field name: value format. It's sort of like key/value, but more structured. Fields can be mandatory or forbidden. Primary keys, unique fields, automatically incrementing counters and timestamps. Template support for running reports. SQL-like joins and foreign keys. Individual fields can be encrypted. Conversion to and from several formats.
Map Maker is a powerful but easy-to-use Web application for creating custom maps. You can upload your data, customize how the data is visualized, then export the map or share it with others for editing. Bulk import, filtering, geocoding, custom icons.
The aim of this database is explicitly not to provide up-to-date fundamentals or stock data as those can be obtained with ease (with the help of this database) by using FundamentalAnalysis or yfinance. Instead, it gives insights into the products that exist in each country, industry and sector and gives the most essential information about each product. With this information, you can analyse specific areas of the financial world and/or find that product that is hard to find. See for examples on how you can combine this database and the earlier mentioned packages the section Examples.
pText is a pure python library to read, write and manipulate PDF documents. It represents a PDF document as a JSON-like datastructure of nested lists, dictionaries and primitives. Extract and edit metadata, extract and edit text and images, add annotations.
Seems like it would be useful for a large-scale indexing effort.
A webapp for gathering data on stocks you might want to purchase. Builds a history of performance to analyze. Supports research code for arbitrary queries. Seems to require MongoDB for its back-end.
Docker webshit, but can be run outside of that context.
The server is written in Go, which is weird, why are they calling it a Python app?
If you are looking for OFX connection information for your bank or brokerage institution then you have come to the right place. OFX Home maintains an extensive directory of financial institution data. At current count we have over 300 institutions in our database. We offer a forum for OFX users and developers. We verify that our OFX URLs connect to working OFX servers. We are peer driven. If one our users finds an error they can submit a correction. If one of our users finds missing or incomplete information they can offer additional data. This ensures that our information is always up to date.
Unfortunately, all of their data is in XML.
A tiny JSON storage service. Create, Read, Update, Delete and Search JSON data.
All returned entries are timestamped (ISO 8601). Blank fields are returned as null and not omitted. Implements JSON:API guidelines. Paginated, 20 hits per by default. OAuth2 authentication on all requests. CRUD.
Authorization: token ...
Free and get instant access to stock, forex, cryptocurrency, investment fund and fundamental market data. Real time, historical, and EOD data.
Multiple payment tiers for access. The free access tier is limited to 8 access requests per minute, 800 access requests per day, and is limited to basic professional data only.
A wholly unnecessary replacement for Dump1090's web interface for tracking ADS-B equipped aircraft.
MetaWeather is an automated weather data aggregator that takes the weather predictions from various forecasters and calculates the most likely outcome. The thinking is that the combined knowledge of the forecasters will produce a better prediction. Free API but drop them an email to let them know if you're going to be hitting their service more than once a minute.
Open source projects sustaining stable climate, energy supply and vital natural resources.
Approximate Nearest Neighbors is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data. It has the ability to use static files as indexes. In particular, this means you can share index across processes. Annoy also decouples creating indexes from loading them, so you can pass around indexes as files and map them into memory quickly. Every user/item can be represented as a vector in f-dimensional space. This library helps us search for similar users/items. We have many millions of tracks in a high-dimensional space, so memory usage is a prime concern.
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