puck VS magic-edit

Compare puck vs magic-edit and see what are their differences.

magic-edit

MagicEdit: High-Fidelity Temporally Coherent Video Editing (by magic-research)
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puck magic-edit
18 1
4,173 1,757
3.1% 1.4%
9.8 4.0
6 days ago 8 months ago
TypeScript
MIT License BSD 3-clause "New" or "Revised" License
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.

puck

Posts with mentions or reviews of puck. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-20.

magic-edit

Posts with mentions or reviews of magic-edit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-05.

What are some alternatives?

When comparing puck and magic-edit you can also consider the following projects:

react-mrz-scanner - React MRZ Scanner

openaidemo - Demo of how access the OpenAI API using Java 17

react-page - Next-gen, highly customizable content editor for the browser - based on React and written in TypeScript. WYSIWYG on steroids.

concrete-ml - Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

dnd-kit - The modern, lightweight, performant, accessible and extensible drag & drop toolkit for React.

Youtube2Webpage - I learn much better from text than from videos

kawa - A blazingly fast event stream processing library powering the reveald event processing daemon.

paxml - Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...