co-tracker VS omnimotion

Compare co-tracker vs omnimotion and see what are their differences.

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co-tracker omnimotion
6 1
2,435 2,035
4.5% -
6.9 6.2
13 days ago 8 months ago
Jupyter Notebook Python
GNU General Public License v3.0 or later Apache License 2.0
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.

co-tracker

Posts with mentions or reviews of co-tracker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-28.

omnimotion

Posts with mentions or reviews of omnimotion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-29.

What are some alternatives?

When comparing co-tracker and omnimotion you can also consider the following projects:

tapnet - Tracking Any Point (TAP)

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.

FLaNK-HuggingFace-BLOOM-LLM - https://huggingface.co/bigscience/bloom into NiFi

puck - The visual editor for React

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

morphir - A universal language for business and technology

FLaNK-Halifax - Community over Code, Apache NiFi, Apache Kafka, Apache Flink, Python, GTFS, Transit, Open Source, Open Data

Youtube2Webpage - I learn much better from text than from videos

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

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

hands-on-train-and-deploy-ml - Train and Deploy an ML REST API to predict crypto prices, in 10 steps