The most simple and minimalistic navigation dashboard.

Overview

Navigation

This project follows a goal to have simple and lightweight dashboard with different links. I use it to have my own self-hosted service dashboard.

Most of the dashboards are heavy and have many features many people don't need.

Here is mine:

Pros:

  1. static html, 0 lines of JS
  2. minimalistic look
  3. easy to set up

Cons:

  1. No customization

Setup

Create navigation.yml following this example:

sorted: true
titles:
  - title:
      name: "database tools"
      items:
        - name: "metabase"
          logo: 📊
          url: "https://metabase.example.com"
        - name: "pg"
          logo: "💾"
          url: "https://pg.example.com"
  - title:
      name: "tools"
      items:
        - name: "notes"
          logo: "📓"
          url: "https://md.example.com"
        - name: "torrent"
          logo: "🏴‍☠️"
          url: "https://torrent.example.com"
        - name: "passwords"
          logo: "🔐"
          url: "https://password.example.com"
        - name: "terminal"
          logo: "💻"
          url: "https://hacker.example.com"
  - title:
      name: "misc"
      items:
        - name: "cat or dog"
          logo: "🙀"
          url: "https://play.example.com"
        - name: "memory game"
          logo: "🧠"
          url: "https://example.com/memorygame"

Amount of titles could be anything, but 4 is probably the max amount of titles, there might be issues if more.

sorted: true is used to sort items in their length order. Set it to false if you want to keep order as is.

logo can accept any text, but you should use emojis. Emojis are the best icons due to high availability (almost every browser font supports it).

That's pretty much it. CSS is adapted to mobile view.

Before running make sure you have PyYML installed.

If not, just run pip3 install pyyaml.

Then run python3 main.py > index.html and put the index.html in your favorite web server. If you don't have one, I recommend caddy. You also may just store the index.html locally and open it everytime you need to navigate.

Docker install with nginx webserver:

  1. Edit the yml file with your necessaries
  2. docker build -t victim/navigation-dashboard .
  3. docker run --name=navigationdashboard -d -p 8080:80 victim/navigation-dashboard
  4. Go to http://yourip:8080 or http://localhost:8080 to see the results

If you want to change your listed websites you'll need to destroy the container and rebuild with any changes.

Owner
Yaroslav
Developer
Yaroslav
Self-supervised learning algorithms provide a way to train Deep Neural Networks in an unsupervised way using contrastive losses

Self-supervised learning Self-supervised learning algorithms provide a way to train Deep Neural Networks in an unsupervised way using contrastive loss

Arijit Das 2 Mar 26, 2022
PyTorch implementation of SIFT descriptor

This is an differentiable pytorch implementation of SIFT patch descriptor. It is very slow for describing one patch, but quite fast for batch. It can

Dmytro Mishkin 150 Dec 24, 2022
A big endian Gentoo port developed on a Pine64.org RockPro64

Gentoo-aarch64_be A big endian Gentoo port developed on a Pine64.org RockPro64 The endian wars are over... little endian won. As a result, it is incre

Rory Bolt 6 Dec 07, 2022
🗺 General purpose U-Network implemented in Keras for image segmentation

TF-Unet General purpose U-Network implemented in Keras for image segmentation Getting started • Training • Evaluation Getting started Looking for Jupy

Or Fleisher 2 Aug 31, 2022
Film review classification

Film review classification Решение задачи классификации отзывов на фильмы на положительные и отрицательные с помощью рекуррентных нейронных сетей 1. З

Nikita Dukin 3 Jan 21, 2022
Rotary Transformer

[中文|English] Rotary Transformer Rotary Transformer is an MLM pre-trained language model with rotary position embedding (RoPE). The RoPE is a relative

325 Jan 03, 2023
Pose estimation with MoveNet Lightning

Pose Estimation With MoveNet Lightning MoveNet is the TensorFlow pre-trained model that identifies 17 different key points of the human body. It is th

Yash Vora 2 Jan 04, 2022
Dataset and Code for the paper "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021), and "Depth-only Object Tracking" (BMVC2021)

DeT and DOT Code and datasets for "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021) "Depth-only Object Tracking" (BMVC2021) @InProceedings

Yan Song 55 Dec 15, 2022
Music Source Separation; Train & Eval & Inference piplines and pretrained models we used for 2021 ISMIR MDX Challenge.

Music Source Separation with Channel-wise Subband Phase Aware ResUnet (CWS-PResUNet) Introduction This repo contains the pretrained Music Source Separ

Lau 100 Dec 25, 2022
"Projelerle Yapay Zeka Ve Bilgisayarlı Görü" Kitabımın projeleri

"Projelerle Yapay Zeka Ve Bilgisayarlı Görü" Kitabımın projeleri Bu Github Reposundaki tüm projeler; kaleme almış olduğum "Projelerle Yapay Zekâ ve Bi

Ümit Aksoylu 4 Aug 03, 2022
Sound-guided Semantic Image Manipulation - Official Pytorch Code (CVPR 2022)

🔉 Sound-guided Semantic Image Manipulation (CVPR2022) Official Pytorch Implementation Sound-guided Semantic Image Manipulation IEEE/CVF Conference on

CVLAB 58 Dec 28, 2022
Training deep models using anime, illustration images.

animeface deep models for anime images. Datasets anime-face-dataset Anime faces collected from Getchu.com. Based on Mckinsey666's dataset. 63.6K image

Tomoya Sawada 61 Dec 25, 2022
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

VariationalRecurrentNeuralNetwork Pytorch implementation of the Variational RNN (VRNN), from A Recurrent Latent Variable Model for Sequential Data. Th

emmanuel 251 Dec 17, 2022
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization

BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization Authors: Wojciech Kryściński, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong,

Salesforce 125 Dec 31, 2022
Try out deep learning models online on Google Colab

Try out deep learning models online on Google Colab

Erdene-Ochir Tuguldur 1.5k Dec 27, 2022
A modular active learning framework for Python

Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a fe

modAL 1.9k Dec 31, 2022
Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data

Learning Motion Priors for 4D Human Body Capture in 3D Scenes (LEMO) Official Pytorch implementation for 2021 ICCV (oral) paper "Learning Motion Prior

165 Dec 19, 2022
Code repository for the paper "Tracking People with 3D Representations"

Tracking People with 3D Representations Code repository for the paper "Tracking People with 3D Representations" (paper link) (project site). Jathushan

Jathushan Rajasegaran 77 Dec 03, 2022
Multistream CNN for Robust Acoustic Modeling

Multistream Convolutional Neural Network (CNN) A multistream CNN is a novel neural network architecture for robust acoustic modeling in speech recogni

ASAPP Research 37 Sep 21, 2022
PyTorch implementation for Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition.

Stochastic CSLR This is the PyTorch implementation for the ECCV 2020 paper: Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuou

Zhe Niu 28 Dec 19, 2022