pandas-pipeline
Generate pandas data processing pipelines
Paquete de plugins · de barnburner121 · ya no está publicado
Resumen
pandas-pipeline es un paquete de plugins para herramientas de programación con IA publicado por barnburner121. Ningún marketplace que leemos lo publica ya; la última ficha desapareció el 2026-10-18. El último cambio que registramos fue el 2026-10-18. Según nuestra pasada por los marketplaces del 2026-10-17.
Qué pide
- Se ejecuta en tu equipo
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Lo que declara, pide y ejecuta, completo
Instala solo plugins de desarrolladores en los que confíes. Mostramos lo que publican los marketplaces y no probamos plugins.
Conectar
No hay datos para un comando automático: lo que declaran sus marketplaces no dice de forma inequívoca cómo conectarlo.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Marketplace de la comunidad barnburner121/claude-plugin-marketplace (Abrir el código en GitHub) | Retirado el 2026-10-18 | 1.0.0 | Forks (GitHub): 0 Estrellas (GitHub): 3 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Qué contiene el paquete
Tal como se publica en Community GitHub marketplaces.
Servidores MCP: 1
plugin-hub
Skills: 1
pandas
Qué cambió
- Ya no aparece en Community GitHub marketplaces
- Community GitHub marketplaces: retirado
- Pasó a ser un producto que seguimos
- Community GitHub marketplaces: apareció
Posiblemente el mismo plugin
Fichas que comparten una señal con esta, pero no lo suficiente para tratarlas como el mismo producto.
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
Pandas MCP - Advanced Data Analysis for LLMs with comprehensive pandas operations
-
Fetch and analyze BP5 data files using ADIOS2. Access scientific data, metadata, and attributes...
-
Expert AI assistant for Apache Hamilton framework development - create DAGs, apply decorators, debug dataflows, and optimize pipelines
-
Data engineering agent for ETL pipelines and analytics
-
Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and…
-
Writing composable, type-checked data pipelines with scinexus: define_app, NotCompleted, data stores, apply_to, parallel backends
-
End-to-end data analysis workflow plugin for Claude Code. Covers the full pipeline from EDA to model training - EDA, preprocessing, statistical analysis, feature engineering, and…
-
Build Fast Dash apps: type-hint inference, depends_on cascading inputs, multi-function tabs, multi-step pipelines.
-
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…
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
End-to-end data analysis workflow plugin for Claude Code. Covers the full pipeline from EDA to model training - EDA, preprocessing, statistical analysis, feature engineering, and…
-
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…
-
Skills to support Machine Learning experimentation using the Python ecosystem.
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Multi-agent AI pipelines with structural write/review isolation, crash-safe state recovery, and spec-driven development. Run sequential, parallel fan-out, iterative-loop, or…
Publicado en Claude Code: claude-plugins-official (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…
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
Publicado en Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
-
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…
-
Skills, agents, and workflows for Honeycomb observability — query patterns, production investigations, SLOs, OpenTelemetry instrumentation, and Beeline migration. Designed to…
Publicado en Codex: openai-curated (openai/plugins) (5)
-
Answer product and business questions with data
-
Design, critique, implement, test, and export web data visualizations in Codex, including charts, maps, dashboards, Gantt, UML, scrollytelling, reports, slides, mobile views…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
Publicado en Community GitHub marketplaces (4)
-
Pandas MCP - Advanced Data Analysis for LLMs with comprehensive pandas operations
-
Expert AI assistant for Apache Hamilton framework development - create DAGs, apply decorators, debug dataflows, and optimize pipelines
-
Data engineering agent for ETL pipelines and analytics
-
Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and…
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive Copilot canvas.
-
Model, visualize, and deploy applications with Radius from the GitHub Copilot app and CLI.
-
Comprehensive collection for building production-ready Python integrations with Microsoft Dataverse. Includes official documentation, best practices, advanced features, file…
-
Record your screen doing a manual process, drop the video on your Desktop, and let Copilot CLI analyze it frame-by-frame to build working automation scripts. Supports narrated…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Publicado en 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.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
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…
Publicado en Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Explore datasets and tables and run SQL queries.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
Publicado en Docker MCP Catalog (5)
-
Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools.
-
mcp-grafana io.github.grafana/mcp-grafana
An MCP server giving access to Grafana dashboards, data and more.
-
Bridges n8n's workflow automation platform with AI models, providing access to 543 n8n nodes, workflow templates, and AI-capable automation tools.
-
provides tools and templates to create a functioning Vizro chart or dashboard step by step.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Publicado en Official MCP Registry (5)
-
Fetch and analyze BP5 data files using ADIOS2. Access scientific data, metadata, and attributes...
-
50+ pandas-powered tools for data loading, cleaning, visualization, and ML workflows
-
Validate, plan, preview and run YAML data pipelines (ETL with LLM steps) and debug failed runs.
-
excel-spreadsheet-xlsx-csv io.github.theluckystrike/excel-spreadsheet-xlsx-csv
Open, inspect, filter, edit and convert xlsx and csv files from your AI chat. Processing is local.
-
Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.
Publicado en npm registry (MCP servers) (5)
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
dealflowpro io.github.jbechtel-97/dealflowpro
Multifamily real estate deal analysis — cap rate, DSCR, IRR, DFP Score, max offer price
-
depwire io.github.atef-ataya/depwire
Dependency graph + 24 MCP tools. Impact analysis, simulation, security, agent coordination
-
Extract dates and timestamps from logs, data files and code, with their format and position.
-
Browser-local and CLI static evidence for deployed AI model artifacts.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Quieres esta marca para tu plugin en nuestro catálogo?
Demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS, y podrás mostrar esta marca en la ficha, con banners en vivo para tu web y tu README. Cómo funciona la verificación
Además recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Community GitHub marketplaces. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.