dqx
DQX by Databricks Labs — AI assistant skills for defining, applying, storing, and profiling data quality rules in PySpark.
Lot de plugins · par Databricks Labs
Aperçu
dqx est un lot de plugins pour les outils de code IA publié par Databricks Labs. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Le dernier changement enregistré date du 2026-10-17. Selon notre passage sur les places de marché du 2026-10-17.
Ce qu'il demande
- S'installe comme lot de plugins
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En plugin Claude Code
Construit à partir de ce que déclare Community GitHub marketplaces.
/plugin marketplace add databrickslabs/dqx
/plugin install dqx@databrickslabs-dqxOù il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire databrickslabs/dqx (Ouvrir la source sur GitHub) | Référencé | 0.1.0 | Forks (GitHub): 156 Étoiles (GitHub): 472 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Listé dans une place de marché communautaire
| Place de marché | Dépôt | Étoiles (GitHub) |
|---|---|---|
| databrickslabs-dqx | databrickslabs/dqx | 472 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Skills: 5
dqx-apply-checksdqx-define-checksdqx-end-to-enddqx-profile-and-generatedqx-storage
Ce qui a changé
- Est devenu un produit que nous suivons
- Community GitHub marketplaces: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
Generate data quality checks and monitoring
-
Comprehensive data engineering toolkit combining ETL pipelines, data quality, and data architecture. Includes data architect agent for holistic data engineering decisions.
-
Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR…
-
Camber - Remote Agentic Data Science
Remote data science agents for Snowflake, Databricks & BigQuery in Claude/Cursor via MCP
-
Skills for working with Bauplan data lakehouses: explore data, build pipelines, ingest from S3, debug failures, assess data feasibility, generate quality checks, and optimize DAGs
-
Trace lineage, audit data quality, and root-cause data incidents with the open-source Data Workers agent swarm — one local MCP server with 160+ data-engineering tools that runs on…
-
Delegates dbt and warehouse work to altimate-code, a specialized CLI agent with 100+ purpose-built data tools (SQL analysis, column-level lineage, dbt build/test/run, warehouse…
-
Data engineering for Apache Airflow and Astronomer. Author DAGs with best practices, debug pipeline failures, trace data lineage, profile tables, migrate Airflow 2 to 3, and…
-
Intelligent data review workflow for dbt developers
-
Connect, query, and generate data insights for BigQuery datasets and data.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
Data engineering for Apache Airflow and Astronomer. Author DAGs with best practices, debug pipeline failures, trace data lineage, profile tables, migrate Airflow 2 to 3, and…
-
Connect, query, and generate data insights for BigQuery datasets and data.
-
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup…
-
Claude Code plugin for inspecting Delta Lake tables — no Spark, no libraries.
-
Connects Claude with Masthead Data to optimize BigQuery costs and analyze and fix data incidents.
Référencé sur Claude Code: claude-plugins-official (5)
-
Delegates dbt and warehouse work to altimate-code, a specialized CLI agent with 100+ purpose-built data tools (SQL analysis, column-level lineage, dbt build/test/run, warehouse…
-
Data engineering for Apache Airflow and Astronomer. Author DAGs with best practices, debug pipeline failures, trace data lineage, profile tables, migrate Airflow 2 to 3, and…
-
Connect, query, and generate data insights for BigQuery datasets and data.
-
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup…
-
oracle-ai-data-platform-workbench-engineer-agent
Oracle AI Data Platform (AIDP) Workbench engineer agent for Claude Code — a 37-skill agent that operates the full Spark/Delta lakehouse in natural language. Discovers your catalog…
Référencé sur Claude: knowledge-work-plugins (5)
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
informatica-for-claude-platform
Governed catalog discovery for Informatica Intelligent Data Management Cloud (CDGC): find tables, columns, files, glossary terms and policies across the enterprise catalog, check…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
-
Connect Claude Code directly to your CockroachDB clusters for hands-on database work — explore schemas, write optimized SQL, debug queries, and manage distributed database…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Answer product and business questions with data
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
Manage Supabase projects directly through ChatGPT. Execute SQL queries on PostgreSQL databases, design and modify table schemas, deploy serverless edge functions, and configure…
-
PostHog gives your AI agent direct access to your product analytics, feature flags, experiments, error tracking, surveys, logs, and LLM analytics. Ask questions about your data…
Référencé sur Community GitHub marketplaces (5)
-
Generate data quality checks and monitoring
-
Comprehensive data engineering toolkit combining ETL pipelines, data quality, and data architecture. Includes data architect agent for holistic data engineering decisions.
-
Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR…
-
Skills for working with Bauplan data lakehouses: explore data, build pipelines, ingest from S3, debug failures, assess data feasibility, generate quality checks, and optimize DAGs
-
Trace lineage, audit data quality, and root-cause data incidents with the open-source Data Workers agent swarm — one local MCP server with 160+ data-engineering tools that runs on…
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
Use Datadog directly in Copilot / VS Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Query Sumo Logic logs, alerts, dashboards, and SIEM insights directly from Copilot.
-
Explore and query TimeBase streams, schemas, QQL, symbols, and server status via MCP.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
powerbi-authoring
Developer skills for authoring Microsoft Power BI solutions.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
Référencé sur Cursor: cursor/plugins (5)
-
Explore datasets and tables and run SQL queries.
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
Track AI visibility, sentiment, and citations.
Référencé sur Docker MCP Catalog (5)
-
MCP server for interacting with Atlan services including asset search, updates, and lineage traversal for comprehensive data governance and discovery.
-
Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools.
-
Enable AI agents to manage, monitor, and query CockroachDB using natural language. Perform complex database operations, cluster management, and query execution seamlessly through…
-
schemacrawler-ai io.github.schemacrawler/schemacrawler-ai
Enables natural language schema queries — explore tables, keys, procedures, and get SQL help fast
-
Database interaction and business intelligence capabilities.
Référencé sur Official MCP Registry (5)
-
Camber - Remote Agentic Data Science
Remote data science agents for Snowflake, Databricks & BigQuery in Claude/Cursor via MCP
-
mcp-server io.quanti/mcp-server
Query BigQuery, Snowflake, Redshift & Azure Synapse with natural language
-
SQL data health analyzer and pipeline observability evaluator.
-
Query your warehouse or a CSV with Claude/ChatGPT over MCP, governed by table-level ACL + audit.
-
Pre-flight query cost and result-size guardrails for AI agents on BigQuery, Snowflake, Databricks
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Community GitHub marketplaces. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.