macOS
brew install hdtlocal Homebrew formula metadata
brew
Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de hdt pour les workflows d'agents IA.
installation
brew install hdtlocal Homebrew formula metadata
nix profile install nixpkgs#hdtnixpkgs package indexes · pkgs/by-name/hd/hdt/package.nix · Source: api.github.com
aperçu
Header Dictionary Triples (HDT) is a compression format for RDF data
historique
HDT, short for Header, Dictionary, Triples, is a compact binary representation for RDF datasets. The Homebrew package builds the C++ library and command-line tools that create, inspect, query, and convert HDT files.
HDT emerged from Semantic Web research on publishing and exchanging very large RDF graphs without the verbosity of textual RDF serializations. The W3C Member Submission dated 30 March 2011 describes HDT as a binary RDF format organized around a header, a dictionary of terms, and compressed triples.
The RDF HDT project presents the format as both a data structure and serialization: the dictionary replaces repeated RDF terms with identifiers, the triples component stores graph structure compactly, and the header carries metadata about the dataset. The format was later described in publications from ISWC 2010, WWW 2012, ESWC 2012, and a 2013 Web Semantics journal article listed by the project.
The hdt-cpp repository is the C++ implementation and tool suite. Its README describes tools such as rdf2hdt for creating HDT from RDF, hdt2rdf for exporting RDF, hdtSearch for triple-pattern queries, hdtInfo for headers, and replaceHeader for metadata maintenance. GitHub release history shows a post-Google-Code release in 2015, which reflects a migration from earlier hosting into the GitHub-centered packaging era.
HDT adoption grew around Linked Data distribution, where the pain point is not just storing RDF but moving and querying huge dumps. The RDF HDT site lists use cases such as sharing RDF data on the Web, mirroring SPARQL endpoints, data analysis, visualization, embedded devices, and federated querying.
The project's datasets page shows HDT used to distribute large public knowledge graphs, including DBpedia, Freebase, YAGO, WordNet, DBLP, and multiple Wikidata dumps. That page also notes collections with billions of triples, including LOD-a-lot, demonstrating HDT's role as an interchange format for people who need local, compressed, indexed RDF snapshots.
The implementation family includes C++ tools, Java libraries, Jena integration, a GUI, an online conversion service, and HDT-backed dataset publishing. The Homebrew `hdt` formula packages the Unix CLI side of that ecosystem for local conversion and inspection.
Typical command-line usage starts with converting an RDF serialization to an HDT file using rdf2hdt. A user can then query it interactively with hdtSearch, export it back with hdt2rdf, inspect metadata with hdtInfo, or replace header information without rebuilding the whole dataset.
HDT is read-optimized. Its project site emphasizes that an HDT file is already indexed and can be searched or browsed without prior decompression, which is why it is attractive for large dumps that would otherwise require a database import before the first useful query.
For package maintainers, hdt is a classic data-tool package: a research format turned into a practical CLI. It pulls in native C/C++ build tooling, RDF parser dependencies such as Serd, and compression support, then exposes a small set of executables that slot into data-publishing pipelines.
The package matters because RDF dump users often want repeatable local workflows rather than a bespoke triplestore setup. Installing hdt gives them the compact-file workflow directly: convert, inspect, query, and ship a single indexed artifact.
posture de sécurité
broad file, network, media, or database tool signal. generalized runtime or code generation signal.
risque yellow · confiance moyen · runtime
Avant une utilisation sans surveillance par un agent, vérifiez si l'outil lit des identifiants en clair, écrit un état distant, publie des artefacts ou lance des plugins.
exécutables
| Commande | Type | Exposition | Note |
|---|---|---|---|
hdt2rdf | cli | exécutable global | |
hdtInfo | cli | exécutable global | |
hdtSearch | cli | exécutable global | |
modifyHeader | cli | exécutable global | |
rdf2hdt | cli | exécutable global | |
replaceHeader | cli | exécutable global | |
searchHeader | cli | exécutable global |
fraîcheur
Ces signaux séparent l'âge de génération de la page, l'activité du gestionnaire de paquets et la comparaison avec les versions amont. Un retard de version n'est signalé que lorsqu'une URL de preuve et des versions comparables sont présentes.
https://github.com/rdfhdt/hdt-cpp
métadonnées d'installation
| Clé du paquet | brew:hdt |
|---|---|
| Version | 1.3.3 |
| Gestionnaire de paquets | Homebrew |
| Page du gestionnaire de paquets | https://formulae.brew.sh/formula/hdt |
| Page d'accueil | https://github.com/rdfhdt/hdt-cpp |
| Dépôt | https://github.com/rdfhdt/hdt-cpp |
| Docs amont | https://www.rdfhdt.org/manual-of-the-c-hdt-library |
| Licence | LGPL-2.1-or-later |
| Archive source | https://github.com/rdfhdt/hdt-cpp/archive/refs/tags/v1.3.3.tar.gz |
| Dépendances | serd |
| Dépendances de compilation | autoconf, automake, libtool, pkgconf |
| Bouteille | disponible (sur arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| post-install Homebrew | non défini |
| Service | aucun déclaré |
faits du registre
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | hdt |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
correspondances dans les bases sources
Les correspondances proviennent d’index externes de gestionnaires de paquets et restent séparées des liens de paquets Automic Vault locaux.
hdt
nix profile install nixpkgs#hdtpiste source
Cette page est servie par av-web depuis l'artéfact SQLite privé des paquets généré par scripts/generate-pkg-sqlite.py.
View the package source record on GitHub.