CKAN VS kuwala

Compare CKAN vs kuwala and see what are their differences.

CKAN

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 catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites. (by ckan)

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 (by kuwala-io)
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CKAN kuwala
5 32
3,823 713
1.0% 1.8%
9.8 2.8
6 days ago 10 months ago
Python JavaScript
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.

CKAN

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.

kuwala

Posts with mentions or reviews of kuwala. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.
  • What are the 5 hottest dbt Repositories one should star on GitHub 2022?
    4 projects | news.ycombinator.com | 15 Jun 2022
    What are the 5 hottest dbt Repositories one should star on Github 2022?

    dbt is a software framework that sits in the middle of the ELT process. It represents the transformative layer after loading data from an original source. Dbt combines SQL with software engineering principles.

    Here are my top5!

    - Lightdash (https://github.com/lightdash/lightdash): Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface.

    - ⏎ re_data (https://github.com/re-data/re-data): Re-Data is an abstraction layer that helps users monitor dbt projects and their underlying data. For example, you get alerts when a test failed or a data anomaly occurs in a dbt project.

    - evidence (https://github.com/evidence-dev/evidence): Evidence is another tool for lightweight BI reporting. With Evidence, you can build simple reports in "medium style" using SQL queries and Markdown.

    - Kuwala (https://github.com/kuwala-io/kuwala): With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time.

    - fal ai (https://github.com/fal-ai/fal): Fal helps to run Python scripts directly from the dbt project. For example, you can load dbt models directly into the Python context which helps to apply Data Science libraries like SKlearn and Prophet in the dbt models.

  • What are the hottest dbt Repositories you should star on Github 2022? - Here are mine.
    5 projects | dev.to | 8 Jun 2022
    Kuwala ( https://github.com/kuwala-io/kuwala ) Kuwala is a data workspace that consolidates the Modern Data Stack and makes it usable for BI analysts and Engineers. Even though dbt is originally targeted at BI Analysts, dbt is mainly used by Engineers. This shifts a large amount of pipeline engineering effort to the IT department. With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Consequently, the BI Analyst can work more iteratively and maintain the complete workflow from source to metrics in a dashboard. Under the hood and Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time. In addition, engineers can easily convert dbt models into reusable β€œdrag and drop” components.
  • What are your hottest dbt repositories in 2022 so far? Here are mine!
    5 projects | /r/dataengineering | 7 Jun 2022
    - 🧱 Kuwala: With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time.
  • BECOME A PRODUCT DESIGNER & STRATEGIST AT KUWALA! (Intern / Working Student)
    2 projects | dev.to | 20 Oct 2021
    In 2020 data teams spent 79% of their time on data gathering and cleaning. The enormous amount of data and missing data talents lead to a huge failure rate of 85% in data science projects. Kuwala wants to provide a tool that combines the best open source projects in an UI that is easy to handle by analysts and flexible enough for engineers to adjust the tool to edge cases and internal needs. We believe in Open Source and so we are! Everything we do is published on our Github Repo: https://github.com/kuwala-io/kuwala or https://kuwala.io. And now we search you to help us to built out our hosted version of Kuwala.
  • Graph databases for data engineering
    2 projects | /r/dataengineering | 21 Jun 2021
    We're currently using it as a PoC to combine POI with population data. You can find it on our GitHub.
    2 projects | /r/dataengineering | 21 Jun 2021
    Yes, exactly. Looking at a graph schema is very intuitive. We're currently using Neo4j to model different POI sources (OSM, Google, etc.) with population and other sources. So trying to model real-world entities. E.g., you can express "this shop is in that shopping mall in this district where 3214 people between 14-25 are living." It's open-source on GitHub. Would be happy to get your feedback. :) https://github.com/kuwala-io/kuwala
  • [OC] High-Resolution Demographics Data (visualized for Malta but scalable worldwide)
    2 projects | /r/dataisbeautiful | 26 May 2021
    Also you can easily run it locally for any country you like. It's just a few commands: https://github.com/kuwala-io/kuwala/tree/master/kuwala-pipelines/population-density
    2 projects | /r/dataisbeautiful | 26 May 2021
  • ETL Pipeline for Gigabytes of Demographics Data
    3 projects | /r/dataengineering | 26 May 2021
    Here's the link to the README issue: https://github.com/kuwala-io/kuwala/issues/20
    3 projects | /r/dataengineering | 26 May 2021
    πŸ‘Ύ https://github.com/kuwala-io/kuwala/tree/master/kuwala-pipelines/population-density πŸ“– https://medium.com/kuwala-io/querying-the-most-granular-demographics-dataset-62da16b441a8 πŸ’¬ https://join.slack.com/t/kuwala-community/shared_invite/zt-l5b2yjfp-pXKFBjbnl7_P3nXtwca5ag

What are some alternatives?

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

ArchivesSpace - The ArchivesSpace archives management tool

ArchiveBox - πŸ—ƒ 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

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

uawardata - The data behind uawardata.com

kaggle-environments

CKAN-meta - Metadata files for the CKAN

mara-pipelines - A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

dwc - Darwin Core standard for sharing of information about biological diversity.

evidence - Business intelligence as code: build polished data products with SQL and markdown