Software Alternatives & Startups

fzf VS Plotly

Compare fzf VS Plotly and see what are their differences

fzf logo fzf

A command-line fuzzy finder written in Go

Plotly logo Plotly

Low-Code Data Apps
  • fzf Landing page
    Landing page //
    2023-09-26
  • Plotly Landing page
    Landing page //
    2023-07-31

fzf features and specs

  • Speed
    fzf is highly optimized for speed, allowing users to find files, directories, and other items rapidly.
  • Integrations
    It seamlessly integrates with various command-line tools and applications, enhancing productivity by providing quick access.
  • Customization
    fzf offers extensive customization options for key bindings, appearance, and behavior, making it adaptable to user preferences.
  • Cross-Platform Support
    It works on multiple operating systems including Linux, macOS, and Windows, ensuring a wide range of compatibility.
  • Minimal Dependencies
    fzf requires minimal dependencies, making it easy to install and use without extensive overhead.

Possible disadvantages of fzf

  • Learning Curve
    New users might face a learning curve, especially if they are not familiar with command-line tools and customizations.
  • Complex Customization
    While fzf is highly customizable, creating and managing complex configurations can be challenging for some users.
  • Terminal Dependency
    As a command-line tool, it requires users to work within a terminal environment, which may not be suitable for all users or use cases.
  • Resource Intensive
    In certain scenarios, fzf can be resource-intensive, particularly when dealing with massive datasets or extensive directories.
  • Lack of Native GUI
    fzf does not provide a native graphical user interface, which might limit its accessibility for users who prefer GUIs.

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 fzf

Overall verdict

  • fzf is highly regarded by developers and terminal enthusiasts for its speed, versatility, and ease of use. It enhances productivity and streamlines workflows when dealing with large sets of data or files.

Why this product is good

  • fzf is considered a good tool because it is a highly efficient, command-line fuzzy finder that allows users to search and filter through files and data quickly. It integrates seamlessly with various command-line tools and supports key bindings for quick access, making it a flexible choice for developers and power users who work extensively in terminal environments.

Recommended for

  • Developers who frequently work in the terminal
  • System administrators managing large file systems
  • Data scientists needing quick filtering options for data sets
  • Linux and Unix users looking to improve command-line efficiency

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.

fzf videos

Vim universe. fzf - command line fuzzy finder

More videos:

  • Review - How I Work: fzf
  • Review - fzf - Fuzzy Finder For Your Shell - Linux TUI

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 fzf and Plotly)
Productivity
100 100%
0% 0
Data Visualization
0 0%
100% 100
Note Taking
100 100%
0% 0
Charting Libraries
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 fzf and Plotly

fzf 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, fzf should be more popular than Plotly. It has been mentiond 244 times since March 2021. 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.

fzf mentions (244)

  • Rebuilding my terminal from a git clone
    Those four plugins are the ones that survived. Git for the aliases and the branch state, zsh-syntax-highlighting because a command turning red before I press Enter has caught more typos than I would like to admit, z to jump to a directory I visited last week by typing three letters of its name, and fzf-tab to hand tab-completion over to fzf, turning a wall of candidates into a fuzzy-searchable list. - Source: dev.to / 14 days ago
  • Every Claude Code session across all your projects, in one list — hit Enter to resume
    Claude-sessions instead lists every session from every project in one fzf picker, newest first. Hit Enter and the session opens in a new iTerm tab (or tmux window) running claude --resume in the right directory — while the picker stays open for the next one. - Source: dev.to / 2 months ago
  • My Mac crashed with 7 Claude Code sessions open. Never again: a cross-project session picker in one bash script
    Dependencies: fzf (brew install fzf) and python3 (ships with macOS). The tab-opening uses AppleScript for iTerm2 with a Terminal.app fallback; inside tmux it uses plain tmux new-window, which also makes that path Linux-friendly. - Source: dev.to / 2 months ago
  • Terminal Superpowers You Should Be Using in 2026
    Please please stop spamming up arrow to find that command you ran. Instead you can make this so much simpler with fzf. - Source: dev.to / 4 months ago
  • Toward a more POSIX-Friendly PowerShell experience
    Fzf – Fuzzy Finder is like a command-line version of Everything, an essential Windows search tool. - Source: dev.to / 4 months ago
View more

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • 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 / over 1 year 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 / over 1 year 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 / almost 2 years 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 / about 2 years ago
View more

What are some alternatives?

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

fd - A simple, fast and user-friendly alternative to 'find'.

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.

Bat - A cat(1) clone with wings.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

tmux - tmux is a terminal multiplexer: it enables a number of terminals (or windows), each running a...

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.