Software Alternatives & Startups

pathogen.vim VS RAWGraphs

Compare pathogen.vim VS RAWGraphs and see what are their differences

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pathogen.vim logo pathogen.vim

pathogen.vim: manage your runtimepath. Contribute to tpope/vim-pathogen development by creating an account on GitHub.

RAWGraphs logo RAWGraphs

RAWGraphs is an open source app built with the goal of making the visualization of complex data...
  • pathogen.vim Landing page
    Landing page //
    2023-10-04
  • RAWGraphs Landing page
    Landing page //
    2022-06-16

pathogen.vim features and specs

  • Ease of Use
    Pathogen.vim simplifies the management of Vim plugins by allowing users to easily install, update, and remove plugins without altering Vim's core files. It requires minimal configuration.
  • Directory Structure
    It promotes a cleaner directory structure where each plugin resides in its own directory under .vim/bundle, making it easier to locate and manage individual plugins.
  • Compatibility
    Being widely adopted and time-tested, pathogen.vim is compatible with a wide range of plugins. This ensures that users can confidently use popular Vim plugins alongside it.
  • No Impact on Startup Time
    Pathogen.vim is lightweight, which means it doesn't significantly affect Vim's startup time, preserving Vim's reputation for speed and efficiency.

Possible disadvantages of pathogen.vim

  • Limited Features
    Compared to modern plugin managers like vim-plug or Vundle, pathogen.vim offers limited features, lacking built-in update mechanisms for plugins or other advanced functionalities.
  • Manual Management of Dependencies
    Pathogen.vim requires users to manually manage plugin dependencies and updates, which can become cumbersome when dealing with a large number of plugins.
  • Exclusivity of Git for Installation
    Pathogen.vim relies heavily on Git for plugin installation, which might be a limitation for users who prefer or require alternative installation methods.

RAWGraphs features and specs

  • User-Friendly Interface
    RAWGraphs provides an intuitive drag and drop interface, making it accessible for users with various technical skills.
  • Open Source
    Being open source, RAWGraphs allows for customization and community contributions, promoting transparency and flexibility.
  • Supports Multiple Data Formats
    RAWGraphs supports a variety of input formats like CSV, TSV, JSON, etc., enhancing its adaptability to different data sources.
  • Extensive Visualization Types
    Offers a wide range of visualization types such as bar graphs, scatter plots, and network graphs, catering to diverse analytical needs.
  • No Installation Required
    As a web-based tool, it does not require any installation, making it easy to access and use anywhere with an internet connection.
  • Export Options
    Allows exporting visualizations in vector (SVG) and raster (PNG) formats, which is valuable for high-quality reporting and presentations.

Possible disadvantages of RAWGraphs

  • Limited Interactivity
    Visualizations created with RAWGraphs are generally static, lacking advanced interactive features found in other tools.
  • Performance with Large Datasets
    May struggle with performance issues when handling very large datasets, which can limit its use for extensive data analytics.
  • Learning Curve for Advanced Features
    While basic functionalities are user-friendly, leveraging advanced features and customizations may require a steeper learning curve.
  • Dependency on Internet
    As a web-based application, it requires an internet connection to function, which can be a limitation in restricted or offline environments.
  • Limited Data Manipulation
    Provides basic data manipulation features, but lacks the depth and complexity available in specialized data processing tools.
  • Support and Documentation
    As an open-source project, it may not have the extensive support and documentation available with commercial visualization tools.

Analysis of RAWGraphs

Overall verdict

  • Yes, RAWGraphs is a good tool for creating data visualizations due to its ease of use, versatility, and robust support for different data types and outputs.

Why this product is good

  • RAWGraphs is considered a good data visualization tool because it is open-source, versatile, and easy to use. It allows users to create a wide variety of charts and visualizations without needing extensive coding knowledge. Its interface is intuitive and facilitates the quick transformation of data sets into visually compelling graphics. Furthermore, it supports multiple formats for data input and export, making it flexible for various project needs.

Recommended for

  • data analysts
  • journalists
  • researchers
  • educators
  • students
  • designers who need to create visualizations without in-depth coding skills.

pathogen.vim videos

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RAWGraphs videos

RawGraphs Walkthrough

Category Popularity

0-100% (relative to pathogen.vim and RAWGraphs)
Software Development
100 100%
0% 0
Data Visualization
0 0%
100% 100
Text Editors
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 pathogen.vim and RAWGraphs

pathogen.vim Reviews

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RAWGraphs Reviews

Top 10 Tableau Open Source Alternatives: A Comprehensive List
RAWGraphs is an open-source Data Visualization tool designed to make visualizing complex data simple for everyone. The primary goal of RAWGraphs is to provide a tool that allows people who do not have the technical/coding expertise to create visualizations on their own. Originally designed to help graphic designers complete a set of tasks that were not available in other...
Source: hevodata.com

Social recommendations and mentions

pathogen.vim might be a bit more popular than RAWGraphs. We know about 6 links to it since March 2021 and only 5 links to RAWGraphs. 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.

pathogen.vim mentions (6)

  • Any Suggestions Apart from vscode for Terraform ?
    The person who mentored me the most when I was getting started with Terraform used VIM with pathogen but honestly this isn't a great idea unless you're really invested in a VIM workflow. Source: about 3 years ago
  • Vim or Emacs?
    I am a bit confused. What has this anything to do with your original question? vim-pathogen is for Vim editor itself, not for PyCharm. I don't know much about MacOS, so not sure how to help. Did you try the installation steps at https://github.com/tpope/vim-pathogen ? Source: over 3 years ago
  • Usage of 'after/ftplugin' directory for filetype-specific configuration
    Back in the old(ish) days of Vim, usage of tpope/vim-pathogen to manipulate runtimepath was a popular way to install plugins. As it got update 9 days ago, it might be still used by some. Source: about 4 years ago
  • Vim: NERDTree
    To install any plugin using Pathogen plugin manager, you need to configure PAthogen in your vimrc if you have not done it already. You can find the installation docs on Pathogen.vim. After Pathogen has been configured in your vimrc, you can clone the git repository of that plugin into your local machine and then activate it using Pathogen. - Source: dev.to / about 5 years ago
  • Recommendations for "Standard, Modern Vim Config"?
    Bundles, Plugins, and Packages. Oh my! - Vim plugin management have gone through many "best practices". vim-pathogen, Vundle, vim-plug, and Vim 8's :packadd. At any given time I am certain the community would say one of these is "modern" or at the least some sort of standard. Source: over 5 years ago
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RAWGraphs mentions (5)

  • Interview synthesis tools?
    Go back through a second time Code themes / pull insights/ double check for keywords tag accuracy Use Dovetail’s “charts” to review various tags (it will show you how many tags per word in various chart options, none are great.) Export desired csv’s from Dovetail Charts to free online data viz software like https://rawgraphs.io Boom. I’m sure there are better ways but that’s what I got! Source: over 4 years ago
  • What type/style of chart is this?
    Sankey is probably the most common name (after Captain Matthew Henry Phineas Riall Sankey who apparently made them to study energy flows in steam engines). But I've also heard it referred to as an alluvial diagram, for example in https://rawgraphs.io/. Source: over 4 years ago
  • Show HN: I made a data visualization desktop app
    This seems quite similar to RawGraphs: https://rawgraphs.io/ Both seem to provide a similar interface for dragging in a CSV file and constructing a chart, but RawGraphs is open-source, and can be used in the browser without installing anything (or the code can be downloaded and served locally). The main advantage of Daigo over RawGraphs seems to be that it supports publishing multiple charts as a dashboard.... - Source: Hacker News / over 4 years ago
  • [OC] Latin America’s biggest airports had been growing steadily. With Covid, it all changed.
    Tools: Excel, Rawgraphs, Affinity Designer. Source: almost 5 years ago
  • Self-hosted solution for easy data visualization?
    Take a look at https://rawgraphs.io/. Source: over 5 years ago

What are some alternatives?

When comparing pathogen.vim and RAWGraphs, you can also consider the following products

Vim-Plug - :hibiscus: Minimalist Vim Plugin Manager. Contribute to junegunn/vim-plug development by creating an account on GitHub.

Plotly - Low-Code Data Apps

ale - Asynchronous Lint Engine

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.

Vim Awesome - Awesome Vim plugins from across the universe

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.