agstudy Goto Github PK

amphtml

android-developers-samples

Tracking changes for Android Developers Samples

angular

One framework. Mobile & desktop.

augenmass

Measure relative sizes on background image.

aws-lambda-r-runtime

Serverless execution of R code on AWS Lambda

aws-lambda-tor

beagleg

For Beaglebone Black: A G-code interpreter and stepmotor controller for coordinated moves of up to 8 steppers. Uses the Programmable Realtime Unit (PRU).

changereview

chartreader

Fully automated end-to-end framework to extract data from bar plots and other figures in scientific research papers using modules such as OpenCV, AWS-Rekognition.

connexion

Swagger/OpenAPI First framework for Python on top of Flask with automatic endpoint validation & OAuth2 support

connexion-example

Example REST service using Connexion Swagger-first Python library: includes schema validation and OAuth 2

crawler

Blog crawler for the blogforever project.

cw-omnibus

Source code to omnibus edition of _The Busy Coder's Guide to Android Development_

d3-china-map

A template to create map of China by province using d3js

d3tablefilter

A table widget based on Max Guglielmi's "HTML Table Filter Generator" and D3.js

discordgo

(Golang) Go bindings for Discord

dom

Drive web browser content from R

domovoi

AWS Lambda event handler manager

dplyr

Plyr specialised for data frames: faster & with remote datastores

dplyr.sqlserver

SQL Server source driver for dplyr

elections

contains TUNISIA elections data for first and second round.

fastapi-to-aws-lambda-with-container

fireship.io

Content Designed for Developer Happiness https://fireship.io

flask-blogging

A Markdown Based Python Blog Engine as a Flask Extension.

flexocpu

Exemple of use of opencpu in a flexdashboard

formattable

Formattable Data Structures

fst

Lightning Fast Serialization of Data Frames for R

future

:rocket: R package: A Future API for R

geojson-regions

A repo to create simplified GeoJSON regions so we can display map-based visualisations without having to load tiles all over the place.

ggforce

Accelerating ggplot2