Discover @tilfin Open Source projects

Toshimitsu Takahashi (@tilfin)

tilfin

Stars
394
Global Rank 71,158 (Top 3 %)
Followers 42
Following 14
Registered almost 14 years ago
Most used languages

JavaScript
65.2 %

TypeScript
13.0 %

Ruby
8.7 %

Shell
4.3 %

CSS
4.3 %

Python
4.3 %
Location 🇯🇵 Japan
Country Total Rank 1,606
Country Ranking

Ruby
128

CSS
140

Shell
599

TypeScript
661

JavaScript
777

Python
5,893

ougai

A Ruby structured logging is capable of handling a message, custom data or an exception easily and generates JSON or human readable logs.

aws-iam-policy-tool

AWS IAM role/policy management command line tool

deck

Deck is a multi-timeline viewer for GitHub repository events.

homebrew-aws

AWS commands easy to manipulate on terminal

detect-http-attack

Detecting attack tool for HTTP server such as Apache and Nginx.

gc-ddns

Dynamic DNS API Service for Google Cloud

s3-block-read-stream

Readable stream for S3 object divided into blocks by partial download with the range

kinesis-stream-lambda

Readable stream in Lambda for Kinesis Stream

promised-lifestream

Creating promisified stream pipeline for Node.js

reqroot

require a module path resolved from application root dir

transgate

Agent-based task flow framework for Node.js

konfig-yaml

Loader of YAML configuration for each execution enviroments

readline-transform

Transform stream to read content line-by-line and write a string

jsonlines-processor

JSON Lines streaming processor for CLI

dynamo-converter

Light reversible converter JavaScript value to DynamoDB attrbute for Node.js

flatout

Lightweight Single-Page-Application framework for JavaScript

face-detection

Face Detection comparing OpenCV and Dlib on Python

extend-aws-error

Extend AWS SDK request error with the request information

nmpriq

Priority queue service based on HTTP with Node.js and MongoDB backend

httpreqtest

HTTP request test server for Node.js

fastify-openapi

stream-utils

Stream utilities provides readArray, map and writeArray

paced-work-stream

Node.js stream working at constant pace and concurrent