https://github.com/ericm/projects
List of projects I've worked on
https://github.com/ericm/projects
Last synced: about 2 months ago
JSON representation
List of projects I've worked on
- Host: GitHub
- URL: https://github.com/ericm/projects
- Owner: ericm
- Created: 2018-09-26T14:51:44.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2021-01-19T19:26:14.000Z (about 5 years ago)
- Last Synced: 2025-04-17T19:53:16.548Z (11 months ago)
- Homepage: http://moynihan.io/projects
- Size: 16.6 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# [Stonks](https://github.com/ericm/stonks)
- Stonks is a terminal based stock visualizer and tracker.
- It uses Yahoo Finance as a backend so use the ticker format as seen on their website.
## `$ stonks AMD`
```
Displays realtime stocks in graph format in a terminal
Usage:
stonks [flags]
Flags:
-d, --days int 24 hour period of stocks from X of days ago.
-e, --extra Include extra pre + post time. (Only works for day)
-h, --help help for stonks
-i, --interval string stonks -i X[m|h] (eg 15m, 5m, 1h, 1d) (default "15m")
-n, --name string Optional name for a stonk save
-r, --remove string Remove an item from favourites
-s, --save string Add an item to the default stonks command. (Eg: -s AMD -n "Advanced Micro Devices")
-t, --theme string Display theme for the chart (Options: "line", "dot", "icon")
-v, --version stonks version
-w, --week Display the last week (will set interval to 1d)
-y, --year Display the last year (will set interval to 5d)
--ytd Display the year to date (will set interval to 5d)
```
* * *
# [Yup](https://github.com/ericm/yup)
[](https://aur.archlinux.org/packages/yup/)
- Yup helps you install packages with ease on Arch Linux, from both pacman and the AUR
- It uses ncurses to display search results. This allows for mouse interaction in the terminal and easier navigation.
* * *
# [Docker HealScript](https://github.com/ericm/healscript)
- This is a Docker image that runs a user-defined script whenever a specific container becomes unhealthy.
- It maps to scripts in the `/scripts` directory and if an image _X_ is found to be unhealthy, it will run `/scripts/X.sh`
* * *
# [Visual Studio Code GitHub Status Presence](https://github.com/ericm/vscode-github-status)
[](https://marketplace.visualstudio.com/items?itemName=ericm.github-status-presence)
- An extension that will sync your current workspace name and time spent on it to your GitHub status.
- The extension will read your current workspace as well as how long it's been open and sync it your GitHub profile like so:
The extension will post to GitHub every X amount of minutes.
* * *
# [Uniui](https://github.com/ericm/uniui)
- Uniui is a React Typescript UI library.
- Components include buttons, radios, selection etc.
* * *
# [React Globules](https://github.com/ericm/react-globules)
- React JS component that gives your project a cool interactive background with simulated bubble physics.
* * *
# [Py The Way](https://github.com/py-the-way/py-the-way)
- This project is a recommendation system that recommends where a user should live in the US using big data, python and pandas.
- The technologies I'm using for this project include: Node.js, Javascript, Python, NumPy + Pandas and scikit-learn
- This came first place in the 2019 Cork Airport Business Park CoderDojo hackathon, sponsored by IBM.
* * *
# [NewLogic](https://github.com/ericm/newlogic)
- Newlogic is a Circuit Builder / Logic Design Desktop Application (like mmlogic) made with Electron + React Typescript.
- It's currently compatible with Windows, Mac and Linux.
* * *
# [RSS Feed Reader Plus](https://github.com/ericm/RSS-Feed-Reader-Plus)
- This is an Open Source Advanced Multi-Platform Desktop RSS Feed Reader I started with support for: Rules and Cloud Sync. It's purpose is to give the user as many options as possible built into a modern desktop feed reader.
- The technologies I'm using for this project include: Node.js, Javascript, Electron and Chromium.
* * *
# [metar-pro](https://github.com/ericm/metar-pro)
- A Web App designed to predict what runway a plane will land on using current data. The landing direction is then illustrated using the Google Maps Api.
- Tech used: Node.js, Express.js, Metar API and Python