asreview VS diffgram

Compare asreview vs diffgram and see what are their differences.

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asreview diffgram
1 9
550 1,795
3.6% 1.3%
9.2 9.1
7 days ago 8 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

asreview

Posts with mentions or reviews of asreview. We have used some of these posts to build our list of alternatives and similar projects.

diffgram

Posts with mentions or reviews of diffgram. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing asreview and diffgram you can also consider the following projects:

scenic - Scenic: A Jax Library for Computer Vision Research and Beyond

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

awesome-data-labeling - A curated list of awesome data labeling tools

arxivbox - Web interface for browsing arXiv papers

VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

dreamerv2 - Mastering Atari with Discrete World Models

dataqa - Labelling platform for text using weak supervision.

People-Counting-in-Real-Time - People Counting in Real-Time with an IP camera.

hover - :speedboat: Label data at scale. Fun and precision included.

orion - Asynchronous Distributed Hyperparameter Optimization.

auto_annotate - Labeling is boring. Use this tool to speed up your next object detection project!