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#rdflib — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #rdflib, aggregated by home.social.

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  1. We’re thrilled to announce pyjelly 0.4.0, the newest release of our #Python library for efficient #RDF knowledge graph serialization, using the Jelly protocol.

    What pyjelly gives you:

    🐍 Python implementation of the Jelly protocol, compatible with Jena and RDF4J.
    ⚡️ Support for Jelly in #rdflib.
    ✅ An easy-to-use API for handling #KG serialization.

    Our work on pyjelly is financed from the #EUFunds #EuropeanFunds.

    Project value: 149 941,44 PLN
    Contribution from European Funds: 149 941,44 PLN

  2. I have just published shaclgen 3.0.0b1, please test: 💾 pypi.org/project/shaclgen/3.0.

    There was no release of #shaclgen since almost 5 years. There were many changes in between including major #rdflib releases. A changelog can be retrieved from the commit history.

    #python #pypi #shacl #SemanticWeb

  3. Zastępowanie #html5lib w Pythonie idzie super. Póki co:

    #bleach włączył kopię do źródeł (jakiś czas temu) i usunął zależność od six
    #rdflib sforkowało ją do "html5rdf", usunęło zależność od six i włączyło webencodings
    #WeasyPrint stworzyło własną bibliotekę #tinyhtml5

    Ale widocznie nikt nie jest już zainteresowany przejęciem właściwej biblioteki i opieką nad nią.

    github.com/pypi/support/issues

    #Gentoo #Python #PyPI

  4. #html5lib replacements in #Python are going great. So far:

    #bleach vendored it (a while ago) and removed six
    #rdflib forked it into "html5rdf" project, removed six and vendored webencodings
    #WeasyPrint created its own #tinyhtml5 as a replacement

    But apparently nobody is interested in properly taking it over and maintaining going forward.

    github.com/pypi/support/issues

    #PyPI #Gentoo

  5. Random post of appreciation 🎉🎉 for #Python #rdflib and rdflib-endpoint

    Thank you 💚💚 developers! I use this library *all the time* and it makes so much of my job [1] easier, and, in many cases, possible!!

    [1] for me mostly serializing RDF in various syntax to do things like look at with my eyeballs (Turtle) and load to various platforms, and grabbing data on the web and parsing it into a graph I can query and process--don't think I've used even half of what these libraries can do

  6. Does anyone know a "fast" local RDF store that can do SPARQL queries (or expose a SPARQL endpoint for queries + endpoint for adding triples)? I have a small tool using rdflib that needs to parse and query several very large graphs and I'd like to avoid deploying a dedicated triple store service.

    #rdf #sparql #turtle #rdflib #python #elixir #rust
  7. @helge @hrefna

    If #rdflib "does too much" for your purposes I would not consider that a major problem. In any case the rdflib community likely would also welcome more active people ;-)

  8. The around generating is live at by David Chaves, @dylanvanassche and @chrdebru !

    In this tutorial we go deeper into the of KG generation, how to write declarative and execute them as @rml_io with , run -KGC for and demonstrate some with 's -RL reasoner.

  9. Let me help you understand how to represent #metadata as #RDF graphs using the #RDFLib #Python library and NobelPrize.org's open data, via a #Jupyter notebook walk-through. A 20min video: youtube.com/watch?v=pKHrAAoEB9