Eclipse is an open source community, whose projects are focused on building an open development platform comprised of extensible frameworks, tools and runtimes for building, deploying and managing software across the lifecycle.
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Which is more popular?
Based on our record, Eclipse
seems to be more popular. It has been mentioned
9 times
since March 2021.
social mentions
9 vs 0
IDE popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Rich Plugin Ecosystem Eclipse has a large variety of plugins available, which allow for the customization and extension of its functionality. This makes it suitable for different types of development, including Java, C++, and Python.
Open Source Eclipse is free and open-source, allowing developers to contribute to and modify the codebase. This encourages community engagement and continuous improvement.
Cross-Platform Support Eclipse runs on various operating systems, including Windows, macOS, and Linux, which provides flexibility for developers working in different environments.
Mature and Stable Eclipse has been around for a long time and has a large community of users, making it a mature and stable IDE.
Extensive Documentation Eclipse offers comprehensive documentation and user guides, which are helpful for both beginners and advanced developers.
Possible disadvantages
Performance Issues Eclipse can be slow, particularly when dealing with large projects or numerous plugins. This can be frustrating and time-consuming for developers.
Complexity The extensive range of features and plugins can make Eclipse overwhelming and difficult to navigate for new users.
Heavy Resource Utilization Eclipse is known to consume a significant amount of system resources, which can affect the performance of other applications.
Steeper Learning Curve Due to its extensive capabilities and complexity, Eclipse may have a steeper learning curve compared to simpler IDEs.
Occasional Stability Issues While generally stable, Eclipse can sometimes be prone to crashes or bugs, particularly when using third-party plugins that are not well-maintained.
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.
EclipseLightly
No analysis of Eclipse 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
Eclipse, a pioneering platform in computer programming, was founded by IBM in the late ’90s. It offers an Integrated Development Environment (IDE) and supports various languages like Java, C++, Python, and more. With...
Extensive Plugin System: Eclipse offers an extensive plugin system that allows developers to customize their own features. It supports more than 100 programming languages, including Groovy, JavaScript, C++, and Python.
Eclipse is a community for individuals and organisations who wish to collaborate on commercially-friendly open-source software. Its projects are focused on building an open development platform comprised of extensible...
💡 You can still install extensions on vscodium using Open VSX Registry, which is an opensource project by Eclipse Foundation.
- Source: dev.to
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about 1 year ago
Decryption and incomplete certificate chains
For example I can access eclipse.org in chrome without issue. I'm seeing my PA cert when I check it's trusted. However when I run the eclipse installer it fails which I suspect is because of the decryption. I'm seeing this log in the...
Source:
over 3 years ago
The eclipse/Java struggle is real...Please help
I think u/rayok's post is probably going to be your most relevant lead. Maybe it's a JRE related thing. I'd go ahead and reinstall eclipse from the eclipse.org download page rather than your OS app store. Maybe the JRE didnt get...
Source:
over 3 years ago
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