labelbee-client VS awesome-data-labeling

Compare labelbee-client vs awesome-data-labeling and see what are their differences.

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labelbee-client awesome-data-labeling
1 7
374 3,480
0.3% 1.6%
0.0 0.0
17 days ago 7 months ago
JavaScript
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.

labelbee-client

Posts with mentions or reviews of labelbee-client. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-29.

awesome-data-labeling

Posts with mentions or reviews of awesome-data-labeling. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-26.

What are some alternatives?

When comparing labelbee-client and awesome-data-labeling you can also consider the following projects:

Universal Data Tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

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

labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK

diffgram - The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

SSL4MIS - Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

screenity - The free and privacy-friendly screen recorder with no limits 🎥

cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]

cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/opencv/cvat]

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

ScrivanoForLinux - Scrivano is a notetaking application for handwritten notes.

datalabel - datalabel is a UI-based data editing tool that makes it easy to create labeled text data in a dataframe. With datalabel, you can quickly and effortlessly edit your data without having to write any code. Its intuitive interface makes it ideal for both experienced data professionals and those new to data editing.