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Which is more popular?
Based on our record, GIMP
seems to be more popular. It has been mentioned
59 times
since March 2021.
social mentions
59 vs 0
Image Editing popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Free and Open Source GIMP is completely free to use and open source, allowing users to download, modify, and distribute the software without any cost.
Cross-Platform Compatibility GIMP is compatible with multiple operating systems including Windows, macOS, and Linux, providing flexibility for users on different platforms.
Extensive Plugin Support GIMP supports a wide range of plugins, which can be used to enhance functionality and customize the software to suit specific needs.
Powerful Editing Tools GIMP offers a comprehensive set of image editing tools for tasks such as photo retouching, image composition, and image authoring, suitable for both beginners and advanced users.
Possible disadvantages
Complex Interface The user interface can be overwhelming and not as intuitive as other commercial software, which can pose a steep learning curve for new users.
Performance Issues Some users experience performance issues, such as slow rendering times, especially when working with large files or applying multiple layers and effects.
Limited Professional Features Compared to industry-standard software like Adobe Photoshop, GIMP lacks some advanced features and tools that professionals might need for high-end work.
Inconsistent Updates Updates and new features can be inconsistent, as the development relies on a community of volunteers rather than a dedicated team.
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.
GIMPLightly
Overall verdict
GIMP is generally considered a good alternative to commercial image editing software, especially for those who are looking for a cost-effective solution. While it may not have all the advanced features or polished interface of some paid options, it is powerful enough for most editing tasks and keeps improving with regular updates.
Why this product is good
GIMP (GNU Image Manipulation Program) is a free and open-source image editor that offers a wide range of tools and features for photo retouching, image composition, and image authoring. It is highly customizable and supports various plugins, making it a flexible option for different design needs. Its active community provides extensive support and resources for users.
Recommended for
GIMP is recommended for beginners, hobbyists, and professionals who need a robust image editor without a financial commitment. It's suitable for users who are comfortable with learning open-source software and those who need a tool for basic to mid-level image editing tasks.
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
You can use GIMP as a basic paint tool, a high-quality photo editor, a tool to process many images at once online, a way to make lots of images, or even to change the format of an image. GIMP can do even more because...
There are 1,439 votes for GIMP and 14 votes for Photopea. GIMP gets 4.3/5, and Photopea gets 4.8/5. These rankings come from real user reviews and can help you choose between the two based on your industry’s needs.
In our experience, GIMP was slightly less responsive and used a few more resources than its proprietary counterpart, but this can be easily forgiven on the basis that GIMP always has been and always will be free and...
Image
Creative Commons (CC) BY-SA-NC 2005-2017, developed, designed and written by René K. Müller
Graphics & illustrations made with Inkscape, Tgif, Gimp, PovRay, GD.pm
Web-Site powered by FreeBSD & Debian/Linux - 100% Open Source.
Source:
over 3 years ago
I just cannot understand why they did Paint so bad
Paint.NET for a familiar paradigm with nicer features.
Pinta for an old school, simple Paint experience.
Krita for more advanced drawing.
Gimp for editing/manipulating photos.
Source:
over 3 years ago
Had to make This after seeing all the post over and over again
If you don't want to pay for photoshop, check out the Gnu Image Manipulation Program at http://gimp.org which is free. It has most of what you'd want photoshop for.
Source:
over 3 years ago
Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.
Krita is a professional FREE and open source painting program. It is made by artists that want to seaffordable art tools for everyone. Concept art. texture and matte painters, illustrations and comics.
