WarsawGTFS
CKAN
Our great sponsors
WarsawGTFS | CKAN | |
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1 | 6 | |
31 | 4,250 | |
- | 1.1% | |
5.6 | 9.8 | |
5 days ago | 6 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
WarsawGTFS
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[Question] Relative imports suck horribly, can someone help me with them?
Another solution is to abuse the working-directory-is-scanned-on-absolute-imports and add a dummy launcher at the same level as src with an absolute import; sort of like I do with top-level warsawgtfs.py in one of my projects
CKAN
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Open Source Flask-based web applications
CKAN The Open Source Data Portal Software
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Metadata Store - Which one to Choose ? OpenMetadata vs Datahub ?
We use Kubernetes as our deployment platform. Any feedback on one of these open source data catalogs ? - https://atlas.apache.org/#/ - https://opendatadiscovery.org/ - https://open-metadata.org/ - https://marquezproject.github.io/marquez/ - https://datahubproject.io/ - https://www.amundsen.io/ - https://ckan.org/ - https://magda.io/
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What 'tool' is used to build OpenData sites?
CKAN (https://ckan.org/) is what data.gov and most state governments use.
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Software and tools for (non-human) genomics data platform
Our first instinct is to use [CKAN](https://ckan.org) for cataloging (and storage, with modifications), especially since we know it and know that it has been used successfully elsewhere. However, we suspect that more specialized/better tools exist for this, thus why I kindly ask for your insights.
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How to start Data Science and Machine Learning Career?
Ckan
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We are digitisers at the Natural History Museum in London, on a mission to digitise 80 million specimens and free their data to the world. Ask us anything!
We publish all our data on the [Data Portal](https://data.nhm.ac.uk), a Museum project that's been running since 2014. Instead of MediaWiki it runs on an open-source Python framework called [CKAN](https://ckan.org), which is designed for hosting datasets - though we've had to adapt it in various ways so that it can handle such large amounts of data.
What are some alternatives?
PatZilla - PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
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
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]
datahub - The Metadata Platform for your Data Stack
kaggle-environments
CKAN-meta - Metadata files for the CKAN for KSP
odd-platform - First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
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