Snipline is a developer tool for organizing shell commands.
Use your mouse or keyboard with vim-like keybinds for navigating the app fast.
Add variables which allow you to copy shell for use in different contexts.
Use any Operating System to access your snippets. All backed up safely to our systems.
Snipline has been updated frequently since launch with new features and bug fixes.
Use the complimentary CLI app to access snippets straight from the command-line.
Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
No Snipline videos yet. You could help us improve this page by suggesting one.
Based on our record, Plotly seems to be a lot more popular than Snipline. While we know about 33 links to Plotly, we've tracked only 2 mentions of Snipline. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ember is one of my favourite Javascript frameworks. I’ve built many web projects with it so it was natural for me to try a desktop app with it, too. My apps, Snipline 1 and 2, are both built with Ember Electron so I have a reasonable amount of experience with it. - Source: dev.to / over 3 years ago
Ember.js is a frontend framework similar to React and Vue JS. I used it to build my app Snipline, and it's also used for websites like Intercom and LinkedIn. It has a 'convention over configuration' approach similar to Ruby on Rails. - Source: dev.to / about 4 years ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / 2 months ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
Snippet Store - A snippet management app for developers
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
PasteCloud - Store pieces of text or code and share it with everyone.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Code Clippet - A simple way to organise useful code snippets
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...