video2dataset vs dt

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video2dataset		dt
	Project
2	Mentions	2
464	Stars	402
-	Growth	1.2%
8.1	Activity	8.2
7 days ago	Latest Commit	4 days ago
Python	Language	Zig
MIT License	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.

video2dataset

Posts with mentions or reviews of video2dataset. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-17.

FLaNK Stack Weekly for 17 July 2023
13 projects | dev.to | 17 Jul 2023
Video2dataset: Easily Create Video Training Datasets
1 project | /r/aiengineer | 12 Jul 2023

dt

Posts with mentions or reviews of dt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-17.

FLaNK Stack Weekly for 17 July 2023
13 projects | dev.to | 17 Jul 2023
dt: duct tape for your unix pipes
1 project | /r/ProgrammingLanguages | 16 Jul 2023

Repository: https://github.com/booniepepper/dt

What are some alternatives?

When comparing video2dataset and dt you can also consider the following projects:

pekko-samples - Apache Pekko Sample Projects

danswer - Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

heimdall - Dashboard for operating Flink jobs and deployments.

plate - The rich-text editor for React.

free-music-demixer - free website for client-side music demixing with Demucs + WebAssembly

khoj - Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.

lima - Linux virtual machines, with a focus on running containers

colima - Container runtimes on macOS (and Linux) with minimal setup