Ellipsis VS Papers with Code

Compare Ellipsis VS Papers with Code and see what are their differences

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Ellipsis

Ellipsis is an AI developer tool that can review code, fix bugs, and more.

Papers with Code

The latest in machine learning at your fingerprints

Landing page //
2024-05-09

Landing page //
2022-07-17

Ellipsis

Website: ellipsis.dev
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Papers with Code

Website: paperswithcode.com
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Ellipsis features and specs

No features have been listed yet.

Papers with Code features and specs

Open Access
Papers with Code provides free access to a vast repository of research papers and code implementations, making cutting-edge research available to a wider audience.
Reproducibility
By linking research papers with their corresponding code, it promotes reproducibility, allowing researchers to verify results and build upon previous work more effectively.
Benchmarking
The platform offers benchmarking tools and leaderboards, facilitating the comparison of different models and approaches on standard datasets and fostering competition in the research community.
Community Engagement
Researchers and developers can contribute their own code and evaluations, which encourages community collaboration and the sharing of knowledge.
Resource Saving
By providing implementations and datasets, it saves researchers time and resources, enabling them to focus on innovation rather than recreating existing work.

Possible disadvantages of Papers with Code

Quality Control
Not all code implementations are thoroughly vetted or peer-reviewed, which can lead to issues with code quality and reliability.
Misalignment of Benchmarks
Benchmarks and evaluations might not perfectly align with certain niche or novel research tasks, potentially skewing perceptions about model performance.
Dependence on Contributor Participation
The platform relies heavily on community contributions; if participation wanes, the updates and breadth of resources could stagnate.
Integration Challenges
Integrating and adapting third-party code into different environments or existing projects can sometimes be challenging due to dependencies or compatibility issues.
Information Overload
With a vast amount of available papers and code, navigating and finding the most relevant and high-quality resources can be overwhelming for users.

Analysis of Ellipsis

Overall verdict

Ellipsis is a well-regarded AI-powered code review and development tool that automates pull request reviews and can autonomously fix bugs, making it a solid choice for engineering teams looking to accelerate their development workflow and improve code quality.

Why this product is good

Automates code reviews on pull requests, catching bugs, style issues, and potential problems before they reach production
Integrates seamlessly with GitHub and existing developer workflows without requiring major process changes
Can autonomously generate fixes and implement small changes, saving developer time on routine tasks
Provides context-aware feedback by understanding your codebase and coding standards
Helps reduce the review burden on senior engineers and speeds up the overall PR cycle
Customizable to align with team-specific coding conventions and requirements

Recommended for

Software engineering teams looking to speed up and standardize their code review process
Startups and fast-moving teams that want to catch bugs early without slowing down shipping
Development teams with limited senior engineer bandwidth for manual code reviews
Organizations aiming to maintain consistent code quality and enforce coding standards at scale
Teams already using GitHub who want to add AI-assisted automation to their workflow

Ellipsis videos

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Verizon Ellipsis Kids Review

Papers with Code videos

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The best site for research papers with codes on Machine/Deep Learning | Research paper search

Category Popularity

0-100% (relative to Ellipsis and Papers with Code)

Papers with Code

Developer Tools

66 66%

Developer Tools

34% 34

41 41%

59% 59

Code Review

100 100%

Code Review

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

User comments

Share your experience with using Ellipsis and Papers with Code. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Papers with Code seems to be a lot more popular than Ellipsis. While we know about 100 links to Papers with Code, we've tracked only 2 mentions of Ellipsis. 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.

Ellipsis mentions (2)

The 6 Best AI Code Review Tools for Pull Requests in 2025
Ellipsis bridges the gap between review and implementation. Most AI review tools identify issues and leave comments. Ellipsis goes further: it can read a reviewer's comment ("Make this variable const" or "Add input validation here") and automatically generate a commit with the fix. - Source: dev.to / 7 months ago
Show HN: Get your website copy and design roasted
HA! Your LLM agents/prompts nailed a hilarious tone. For https://ellipsis.dev > This website looks like it was designed by someone who just discovered the concept of "AI" and decided to slap it all over a half-baked template. Your color scheme is about as inspiring as a Windows '95 screensaver, and your layout feels like it was put together by a kindergartner with a crayon and a... - Source: Hacker News / about 2 years ago

Papers with Code mentions (100)

What does HumaneBench AI benchmark reveal about chatbot safety?
Benchmark Primary focus Evaluation metrics System coverage Usability Link HumaneBench AI benchmark Human well being, humane AI principles HumaneScore, flip tests under adversarial instruction, long term well being 15 popular chat models tested across 800 realistic scenarios Designed for chatbot safety research; requires ensemble judging for... - Source: dev.to / 8 months ago
Computer Vision Made Simple with ReductStore and Roboflow
An helpful approach is to browse the state of the art models in paperswithcode. This will give you an idea of the performance of different models on various tasks. - Source: dev.to / almost 2 years ago
Show HN: Simple Science – The Newest Science Explained Simply
I think a way around this would some sort of voting/ popularity system? Papers with code (https://paperswithcode.com/) does this via Github stars sorting. Sure it doesn't mean something is established. But it at least gives some way to filter through the firehose of papers. Love this project btw! I think it has potential (and the timing is right now that everyone is looking for the next "attention is all... - Source: Hacker News / almost 2 years ago
Essential Deep Learning Checklist: Best Practices Unveiled
Adapting to Evolving Standards: With the rapid progress in deep learning research and applications, staying current with the latest developments is crucial. The checklist underscores the importance of considering established standard architectures and leveraging current state-of-the-art (SOTA) resources, like paperswithcode.com, to guide project decisions. This dynamic approach ensures that projects benefit from... - Source: dev.to / about 2 years ago
Understanding Technical Research Papers
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / about 2 years ago