Efficiency Once learned, Vim can significantly speed up text editing with its modal editing, keyboard shortcuts, and commands that allow for quick navigation and manipulation of text.
Lightweight Vim is a very lightweight editor, consuming minimal system resources, making it highly performant even on systems with lower specifications.
Customizability Vim is highly configurable and extensible through plugins and user-defined settings, allowing users to tailor the editor to their specific needs.
Ubiquity Vim is available on almost every Unix-like system and even on Windows, making it a ubiquitous tool that you can rely on being available in most environments.
Support for Multiple Programming Languages Vim supports a wide range of programming languages out of the box and offers syntax highlighting, which can be enhanced through plugins.
Powerful Search and Replace Vim offers robust searching and replacing functionalities, including support for regular expressions, which can be a powerful tool for developers.
Possible disadvantages
Steep Learning Curve Vim's modal editing and extensive set of commands can be daunting for new users, requiring significant time and effort to master.
Minimal Default Config The default configuration of Vim is quite minimalistic, which may necessitate additional setup and customization to meet modern development needs.
Limited GUI Vim primarily operates in a terminal, and while there are graphical variants like GVim, they are not as feature-rich or user-friendly as modern GUI editors.
Plugin Management While Vim is highly extensible, managing and configuring plugins can be cumbersome compared to more modern editors that offer integrated plugin management.
Inconsistent Behavior Across Platforms There may be inconsistencies in behavior or available features of Vim across different operating systems, which can complicate its use in certain environments.
Lack of Integrated Modern Features Vim lacks some modern IDE features like integrated debugging, advanced code introspection, and refined autocompletion, which often require third-party plugins to achieve.
Efficient Data Curation Lightly uses active learning and self-supervised learning techniques to help teams select the most valuable and diverse subset of data for labeling, reducing the amount of data needed for training while maintaining model performance.
Reduces Labeling Costs By intelligently selecting which images or videos to label, Lightly can significantly cut down on the manual annotation costs and time required for building computer vision datasets.
Self-Supervised Learning Integration The platform leverages self-supervised learning methods to extract meaningful embeddings from unlabeled data, enabling better understanding of dataset structure and redundancy before labeling.
Scalable for Large Datasets Lightly is designed to handle large-scale image and video datasets, making it suitable for enterprises dealing with massive amounts of visual data in computer vision projects.
Integration with ML Workflows Lightly offers APIs and integrations that allow it to fit into existing machine learning pipelines, working alongside popular annotation tools and cloud storage solutions.
Possible disadvantages
Learning Curve Teams new to active learning and self-supervised learning concepts may face a learning curve in understanding how to best utilize Lightly's data curation capabilities.
Narrow Use Case Focus Lightly is primarily focused on computer vision data curation, which may limit its usefulness for teams working with other data types such as text, audio, or tabular data.
Dependency on Data Quality The effectiveness of Lightly's curation algorithms depends heavily on the quality and representativeness of the initial dataset, which can limit results if the source data is poor.
Pricing for Smaller Teams Depending on the pricing tier, smaller teams or individual developers might find the cost of enterprise-level data curation features less accessible compared to open-source alternatives.
Requires Technical Expertise Effectively leveraging Lightly's advanced features like self-supervised learning models may require a certain level of machine learning expertise, which could be a barrier for less technical teams.
Analysis
An editorial look at what each product does well and who it suits.
VimLightly
Overall verdict
Yes, Vim is a good text editor, especially for users who invest the time to learn its powerful commands and features. Its steep learning curve may be challenging initially, but once mastered, it significantly enhances productivity.
Why this product is good
Vim is considered a powerful text editor because of its efficiency and versatility. It offers extensive features, such as syntax highlighting, a robust plugin system, and support for numerous programming languages. Vim is highly configurable, enabling users to customize its environment to fit their needs. It is particularly appreciated for its speed and the ability to perform complex text manipulations using simple commands.
Recommended for
Vim is recommended for programmers, developers, and system administrators who require a highly efficient and customizable text editing experience. It is especially useful for those who work extensively in terminal environments or need a quick, resource-light text editor for remote systems.
Overall verdict
Lightly is a solid, well-regarded platform for data curation and active learning in computer vision, offering strong tooling for selecting the most valuable images/frames to label, which helps teams reduce annotation costs and improve model performance efficiently.
Why this product is good
Focuses on smart data selection and curation, helping avoid wasted labeling budget on redundant data
Offers both open-source (Lightly SSL) and commercial (Lightly Worker/Platform) options for flexibility
Uses self-supervised learning techniques to find diverse, representative, or edge-case samples
Integrates with common MLOps and labeling tools, fitting into existing computer vision pipelines
Scales to large unlabeled datasets, making it useful for teams with massive raw data but limited labeling resources
Provides visualization and embedding tools to explore dataset distribution and detect biases or gaps
Recommended for
Computer vision teams looking to reduce labeling costs through smarter data selection
ML engineers building active learning pipelines
Companies with large volumes of unlabeled image or video data
Teams wanting to improve model performance by curating more diverse or representative training sets
Organizations needing to detect dataset bias, redundancy, or edge cases before annotation
Vim offers a variety of features like split windows, macros, and extensive customization options. It has a steep learning curve, but once you master it, you’ll be amazed at the speed and productivity it brings to your...
It’s tough to say which developers would enjoy Vim as a text editor. It’s an old system with an outdated interface. Yet, it still has the charm and powerful feature-set that the average developer needs. I would...
The entire installation process is perfectly documented on their Sourceforge page, which you must definitely pay a visit. There is another standalone Vim software, known as the gVim that brings a GUI-based interface...
Recommendations tracked on public social media and blogs since March 2021.
Vim10 mentionsLightly0 mentions
regular Vim has lua?!
Lua is quite small, encouraging distros to include it. The ubuntu gvim has, and the gvim AppImage linked from vim.org does. The default Makefile from github is set up to not include it, but you can uncomment one line there to get it.
Source:
over 3 years ago
is there a way to make highlighted text persistent after quit when using something like [match Search /\%'.line('.').'l/] ?
I've not used vimwiki locally (tho I'm old enough to remember the Vim wiki on vim.org :), but I think what you are wanting to do is extend vimwiki's syntax file. I presume it installs one at $VIMRUNTIM/syntax or or ~/.vim/syntax. If...
Source:
almost 4 years ago
Vim.org has 242k total visitors, tailwindcss.com has 4.4m, planetscale.com has 412k, jpl.nasa.gov has 2.6m, all built with Tailwind, all several years younger than Vim's website. Unnecessary comparison, unnecessary defence. It's a...
Source:
about 4 years ago
Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
NetBeans IDE 7.0. Develop desktop, mobile and web applications with Java, PHP, C/C++ and more. Runs on Windows, Linux, Mac OS X and Solaris. NetBeans IDE is open-source and free.
Sublime Text
VS Code
Notepad++
GNU Emacs
Microsoft Visual Studio
Netbeans
IntelliJ IDEA
