Software Alternatives, Accelerators & Startups

Snipline VS Plotly

Compare Snipline VS Plotly and see what are their differences

Snipline logo Snipline

Command-line snippet organiser for power users

Plotly logo Plotly

Low-Code Data Apps
  • Snipline Landing page
    Landing page //
    2022-11-20

Snipline is a developer tool for organizing shell commands.

Keyboard-first interface

Use your mouse or keyboard with vim-like keybinds for navigating the app fast.

Powerful Dynamic Snippets

Add variables which allow you to copy shell for use in different contexts.

Sync between the Web, Mac, Windows and Linux

Use any Operating System to access your snippets. All backed up safely to our systems.

Regularly Updated

Snipline has been updated frequently since launch with new features and bug fixes.

CLI App

Use the complimentary CLI app to access snippets straight from the command-line.

  • Plotly Landing page
    Landing page //
    2023-07-31

Snipline

$ Details
paid Free Trial $9.0 / Annually (Pay-what-you-want: $9/$18/$27 per year.)
Platforms
Browser Mac OSX Windows Linux
Release Date
2019 February

Snipline features and specs

  • Efficiency
    Snipline allows users to quickly access and insert frequently used text snippets, saving time and improving workflow efficiency.
  • Organization
    Users can categorize and organize their snippets into folders, making it easier to manage and retrieve information.
  • Customization
    The tool offers customization options for snippets, allowing users to tailor their snippets to meet specific needs and preferences.
  • Cross-Platform
    Snipline is available on multiple platforms, ensuring access to snippets across different devices and operating systems.

Possible disadvantages of Snipline

  • Learning Curve
    New users might experience a learning curve when familiarizing themselves with the tool's interface and features.
  • Cost
    While some features may be available for free, advanced features or unlimited use might require a subscription, which could be a drawback for budget-conscious users.
  • Limited Features
    Compared to more robust text management tools, Snipline might offer a limited set of features, which may not meet the needs of all users.
  • Dependency
    Reliance on a specific tool for text snippets could create dependency, making it difficult for users to switch to other methods if needed.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    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.

Snipline videos

No Snipline videos yet. You could help us improve this page by suggesting one.

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Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Snipline and Plotly)
Developer Tools
28 28%
72% 72
Data Visualization
0 0%
100% 100
Productivity
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Snipline and Plotly

Snipline Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

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.

Snipline mentions (2)

  • Desktop GUIs for Web Developers
    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
  • Building small desktop apps with Ember.js and Tauri
    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 mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    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
  • Generative AI Powered QnA & Visualization Chatbot
    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
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

When comparing Snipline and Plotly, you can also consider the following products

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...