Real time stock quote data using yahoo-stocks.
Shell Welcome Quote :: Data Contracts
Detailed, real-time stock quote data
quote and parse shell commands
Detailed, real-time stock quote data
A widget that displays a typical ticker row with quote data
Block quote feature for CKEditor 5.
transform a stream into a quoted string
TypeScript definitions for shell-quote
Add quotes to given string unless it already has them
Quote Tool for Editor.js
quote and unquote strings. escapes internal quotes and slashes. Automatically decides whether to use single or double quotes.
A user interface for JSON.
unquote a single shell arguments
hast utility to serialize to HTML
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
Fast, disk space efficient package manager
Uniswap Smart Order Router
Block quote UI for Plate
The Lord of the Rings SDK is a software development kit that provides easy access to the Lord of the Rings API. It simplifies the consumption of movie and quote data from the API, allowing developers to integrate Lord of the Rings content into their appli
RegExp.quote = require('regexp-quote')
remark-lint rule to check mdx jsx quotes
Node.js port of Python's shlex shell-like lexer
Quote a value
A tokenization Library for Rust
Internal codegen for quote-it
Internal functions, struct for quote-it
A wrapper to Yahoo! Finance market data (quotes and exchange rates) feed
Ron Swanson addition to Faker library
Medici is a library for obtaining stock quotes and historical stock data using the undocumented Google Finance API.
GeoRuby is intended as a holder for data returned from PostGIS and MySQL Spatial queries. The data model roughly follows the OGC "Simple Features for SQL" specification (see www.opengis.org/docs/99-049.pdf), although without any kind of advanced functionalities (such as geometric operators or reprojections)
Provides SMTP STARTTLS support for Ruby 1.8.6 (built-in for 1.8.7+). Simply require 'smtp_tls' and use the Net::SMTP#enable_starttls method to talk to servers that use STARTTLS. require 'net/smtp' begin require 'smtp_tls' rescue LoadError end smtp = Net::SMTP.new address, port smtp.enable_starttls smtp.start Socket.gethostname, user, password, authentication do |server| server.send_message message, from, to end You can also test your SMTP connection settings using mail_smtp_tls: $ date | ruby -Ilib bin/mail_smtp_tls smtp.example.com submission \ "your username" "your password" plain \ from@example.com to@example.com Using SMTP_TLS 1.0.3 -> "220 smtp.example.com ESMTP XXX\r\n" <- "EHLO you.example.com\r\n" -> "250-smtp.example.com at your service, [192.0.2.1]\r\n" -> "250-SIZE 35651584\r\n" -> "250-8BITMIME\r\n" -> "250-STARTTLS\r\n" -> "250-ENHANCEDSTATUSCODES\r\n" -> "250 PIPELINING\r\n" <- "STARTTLS\r\n" -> "220 2.0.0 Ready to start TLS\r\n" TLS connection started <- "EHLO you.example.com\r\n" -> "250-smtp.example.com at your service, [192.0.2.1]\r\n" -> "250-SIZE 35651584\r\n" -> "250-8BITMIME\r\n" -> "250-AUTH LOGIN PLAIN\r\n" -> "250-ENHANCEDSTATUSCODES\r\n" -> "250 PIPELINING\r\n" <- "AUTH PLAIN BASE64_STUFF_HERE\r\n" -> "235 2.7.0 Accepted\r\n" <- "MAIL FROM:<from@example.com>\r\n" -> "250 2.1.0 OK XXX\r\n" <- "RCPT TO:<to@example.com>\r\n" -> "250 2.1.5 OK XXX\r\n" <- "DATA\r\n" -> "354 Go ahead XXX\r\n" writing message from String wrote 91 bytes -> "250 2.0.0 OK 1247028988 XXX\r\n" <- "QUIT\r\n" -> "221 2.0.0 closing connection XXX\r\n" This will connect to smtp.example.com using the submission port (port 587) with a username and password of "your username" and "your password" and authenticate using plain-text auth (the submission port always uses SSL) then send the current date to to@example.com from from@example.com. Debug output from the connection will be printed on stderr.
wrapper for yahoo finance stock quotes and chart data
== FEATURES: * Input your data as an array of hashes * Input a report layout, built using a Ruby DSL * Outputs ASCII pivot tables suitable for fast reports * Pretty fast: takes less than a second to process 1,000 records of data by a report with 100 rows and 10 columns. == SYNOPSIS: require 'rubygems' require 'crosstab' data = [{:gender => "M", :age => 1}, {:gender => "F", :age => 2}, {:gender => "M", :age => 3}] my_crosstab = crosstab data do table do title "Q.A Age:" group "18 - 54" do row "18 - 34", :age => 1 row "35 - 54", :age => 2 end row "55 or older", :age => 3 end banner do column "Total" group "Gender" do column "Male", :gender => "M" column "Female", :gender => "F" end end end puts my_crosstab.to_s # => ... Table 1 Q.A Age: Gender ---------------- Total Male Female (A) (B) (C) ------- ------- ------- (BASE) 3 2 1 18 - 54 2 1 1 ----------------------------- 67% 50% 100% 18 - 34 1 1 -- 33% 50% 35 - 54 1 -- 1 33% 100% 55 or older 1 1 -- 33% 50% == JUST THE BEGINNING: * I hope to add in later releases: * New export formats: html, pdf, csv, excel. * More stats than just frequency and percentage: mean, median, std. deviation, std. error, and significance testing * Optional row and table suppression for low frequencies * Optional table rows populating from the data * Optional table ranking -- automatically reorder rows based in descending order based on frequencies observed == REQUIREMENTS: * None
Parse binds in SQL or any other data query language, quote, even configure for client-side binding. It all works!
== FEATURES/PROBLEMS: * Up-to-date Ruby client * Allows simple access to most popular AWIS data == SYNOPSIS: ACCESS_KEY_ID = "05RTY5ESSE0EDGR68G2" SECRET_ACCESS_KEY = "1tmO+Tgvp0YU/ZOTwUTRYui7JppEc/lSMSD" host = 'votanweb.com' info = AWIS4Ruby::get_url_info(ACCESS_KEY_ID, SECRET_ACCESS_KEY, host) p info.online_since.strftime('%m-%d-%Y') p info.rank # traffic rank == REQUIREMENTS:
Harvixture is a tool that can be used to extract data, in the form of fixtures, from a Rails project. It is done by pointing the harvixture at a request_path and dumping fixtures for all "found" ActiveRecord objects.
Tattle is a little reporting script used for collecting system information from the Ruby community. The purpose is to help implementors of Ruby and its libraries to better understand the install footprint of the community at large. After installing the gem, you can simply run "tattle" to help add to the existing data available. Tattle sends information from Config::CONFIG to a central server which aggregates and reports the data received.
A Model Context Protocol server that provides Claude with access to Schwab trading API for quotes and market data
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.