diffgram VS dataset-viewer

Compare diffgram vs dataset-viewer and see what are their differences.

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. (by diffgram)

dataset-viewer

Lightweight web API for visualizing and exploring any dataset - computer vision, speech, text, and tabular - stored on the Hugging Face Hub (by huggingface)
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diffgram dataset-viewer
9 6
1,796 617
0.7% 3.2%
8.8 9.8
14 days ago 6 days ago
Python 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.

diffgram

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

dataset-viewer

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

What are some alternatives?

When comparing diffgram and dataset-viewer you can also consider the following projects:

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

aphrodite-engine - PygmalionAI's large-scale inference engine

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

datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

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

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

dataqa - Labelling platform for text using weak supervision.

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

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

tasksource - Datasets collection and standardization preprocessings for NLP extreme multitask learning

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

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125