CKAN VS Activeloop Hub

Compare CKAN vs Activeloop Hub and see what are their differences.


CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers,, among many other sites. (by ckan)

Activeloop Hub

Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. [Moved to:] (by activeloopai)
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CKAN Activeloop Hub
5 31
3,823 4,807
1.0% -
9.8 9.9
6 days ago 8 months ago
Python Python
GNU General Public License v3.0 or later Mozilla Public License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Posts with mentions or reviews of CKAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-17.

Activeloop Hub

Posts with mentions or reviews of Activeloop Hub. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-19.
  • [D] NLP has HuggingFace, what does Computer Vision have?
    7 projects | /r/MachineLearning | 19 Apr 2022
    u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :)
  • [N] [P] Access 100+ image, video & audio datasets in seconds with one line of code & stream them while training ML models with Activeloop Hub (more at, description & links in the comments below)
    4 projects | /r/MachineLearning | 17 Apr 2022
    u/gopietz good question. htype="class_label" will work, but querying doesn't support multi-dimensional labels yet. Would you mind opening an issue requesting that feature?
    4 projects | /r/MachineLearning | 17 Apr 2022
    We've recently added a Huggingface integration that allows ingestion of HuggingFace datasets.
  • [P] Database for AI: Visualize, version-control & explore image, video and audio datasets
    6 projects | /r/MachineLearning | 17 Feb 2022
    Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know!
    6 projects | /r/MachineLearning | 17 Feb 2022
    Our early users love the tool and I hope you'll love it too. We have many more features other than visualization on the roadmap (the current feature list includes querying, version control UI, and integrates through our open-source package Hub (dataset format for AI) with TensorFlow, PyTorch, Sagemaker, other tools on the roadmap.
    6 projects | /r/MachineLearning | 17 Feb 2022
    Please take a look at our open-source dataset format and a tutorial on htypes
    6 projects | /r/MachineLearning | 17 Feb 2022
    The platform allows to: - Inspect the data with all its bounding boxes, masks, etc, and have important stats such as distribution of the labels (adding more stuff in the future to fight bias and improve data quality). - Query datasets to create new, highly specific ones - Version control datasets (while visualizing the changes). I'm confident that if you've ever worked on iteratively improving your models, dataset versioning is probably something you've done. - Stream computer vision datasets while training in PyTorch/Tensorflow via Hub, our open source package (we might add an even more straightforward way to the UI). - For larger organizations access management is important, and we do take care of that.
    6 projects | /r/MachineLearning | 17 Feb 2022
    The visualization interfaces with our open-source dataset format for AI, enabling workflows such as querying/filtering to create datasets/inspect subsamples, tracking changes to the data with data version control visualization (e.g. cross-referencing if the transformations applied had intended effects), and will have integrations with other tools (e.g. experiment tracking, labelling) very soon.
    6 projects | /r/MachineLearning | 17 Feb 2022
    Yes, we're not entirely relevant for your use case, especially if the data is not that big/complex, and benefits that you'd get from switching to Hub format are not as pronounced in case of text as they are in case of computer vision datasets (actually, we still have a couple of diehard NLP community members, but they have ridiculously big text datasets). I presume your university system doesn't use unstructured data like videos/images/audio, either, so our product wouldn't be very helpful in that regard. I do wish you tons of luck and patience though (>10ˆ6?! good Lord...)
  • The hand-picked selection of the best Python libraries released in 2021
    12 projects | /r/Python | 21 Dec 2021

What are some alternatives?

When comparing CKAN and Activeloop Hub you can also consider the following projects:

dvc - 🦉 Data Version Control | Git for Data & Models | ML Experiments Management

ArchivesSpace - The ArchivesSpace archives management tool

ArchiveBox - 🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...

Archivematica - Free and open-source digital preservation system designed to maintain standards-based, long-term access to collections of digital objects.

Access to Memory (AtoM) - Open-source, web application for archival description and public access.

Collective Access: Providence - Cataloguing and data/media management application

petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

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

CKAN-meta - Metadata files for the CKAN


TileDB - The Universal Storage Engine

kuwala - Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times