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.
GPU rental by the minute plus an OpenAI-compatible AI API, on one prepaid balance. Independent service.
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Which is more popular?
Based on our record, Krita
seems to be more popular. It has been mentioned
303 times
since March 2021.
social mentions
303 vs 0
Digital Drawing And Painting popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Free and Open Source Krita is completely free to use, and its source code is available to the public, which allows for extensive customization and community-driven improvements.
Powerful Brush Engine Krita offers a highly configurable and dynamic brush engine, suitable for various art styles and techniques, from digital painting to textured brushes.
Rich Feature Set The software includes a comprehensive suite of features such as HDR painting, layer management, color wheels, advanced selections, and many more.
Cross-Platform Compatibility Krita is available on multiple platforms including Windows, macOS, and Linux, providing flexibility for users across different operating systems.
Active Development and Community Krita benefits from regular updates and an active community that offers tutorials, forums, and additional resources to help users.
Possible disadvantages
Learning Curve Due to its extensive feature set, new users might find Krita overwhelming at first, requiring time and effort to learn and master the tool.
Performance Issues Some users have reported performance lags and stability issues, especially when working with very large files or complex projects.
Limited Vector Tools While Krita excels in raster graphics, its vector tools are not as advanced or comprehensive compared to specialized vector graphic software like Adobe Illustrator.
Less Industry Standard Krita, despite its capabilities, is not as widely adopted in professional industries compared to other software like Photoshop, potentially affecting collaboration and job opportunities.
Hardware Dependency Optimal performance in Krita can be highly dependent on the user's hardware configuration, necessitating more powerful machines for high-end work.
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.
KritaLightly
No analysis of Krita yet.
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
Krita is open-source and free alternative to Adobe Photoshop, backed by a huge community of developers and talented artists who share artwork and methods. If you’re looking for an active user base that’s invested in...
Krita offers a natural sketching experience digitally. You get textures along with default brushes that aid you in creating various art types. You can customize the brushes as well. The app also has an integrated...
Krita’s provides a Gradient tool to help you create stunning artwork. It offers many assets, such as perspective halftone filters, etc., to help you draw efficiently. Krita also has comic textures and other templates....
Recommendations tracked on public social media and blogs since March 2021.
Krita303 mentionsLightly0 mentions
Show HN: I made a 3D pose maker for artists
A permanent Clip Studio Paint forever license with quality pen input devices can be a good option. Blender also offers free rigged 3D base models that offer similar functionality too. Render a png of the 3D pose in 4k, and have fun in...
- Source: Hacker News
/
6 months ago
> I built WebPtoPNG after getting frustrated with converters that throttle uploads or phone data Why would you want to do it in a browser anyway? Just run it local. There are many open source image editors and converters to choose...
- Source: Hacker News
/
11 months ago
We found running a recent Intel pen tablet is nice for some applications like the full blender plugin ecosystem support, commercial and free offerings. Some treasure: https://github.com/wonderunit/storyboarder/releases...
- Source: Hacker News
/
about 1 year ago
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