tabh2o
Makes predictions on tabular data using the TabH2O foundation model API. Supports classification, regression (including timeseries forecasting), clustering, missing value…
Пакет плагинов · от h2oai
Коротко
tabh2o: пакет плагинов для ИИ-инструментов разработки, издатель h2oai. Витрин, которые мы читаем и где он опубликован: 1 (Community GitHub marketplaces). Мы впервые увидели его 2026-10-20 и с тех пор изменений не фиксировали. Данные нашего прохода по витринам на 2026-10-21.
Makes predictions on tabular data using the TabH2O foundation model API. Supports classification, regression (including timeseries forecasting), clustering, missing value imputation, and anomaly detection, with optional global feature importance for classification and regression. Send data as JSON or CSV, get results back.
Что просит
- Ставится как пакет плагинов
Ни одна из витрин, которые мы читаем, не публикует его инструменты или настройки, которые он просит.
Что объявляет, просит и запускает, полностью
Устанавливайте плагины только от разработчиков, которым доверяете. Мы показываем то, что публикуют витрины, и не проверяем плагины.
Работает с
- Claude Code
По маркетплейсам, где он опубликован, и объявленному транспорту MCP, как их документирует каждый клиент. Плагины мы не тестируем.
Подключить
Команды и конфигурации собраны только из того, что объявляют витрины. Мы не запускаем их за вас и не проверяем плагины.
Как плагин Claude Code
Собрано из того, что объявляет Community GitHub marketplaces.
/plugin marketplace add h2oai/tabh2o
/plugin install tabh2o@tabh2oГде опубликован
| Витрина | Статус | Версия | Числа | Проверен | Впервые замечен |
|---|---|---|---|---|---|
| Маркетплейс сообщества h2oai/tabh2o (Открыть исходники на GitHub) | Опубликован | не указана | Форки (GitHub): 1 Звёзды (GitHub): 7 |
Не помечен |
Каждое число принадлежит своей витрине и никогда не складывается с числами других витрин. Если витрина число не публикует, мы его не показываем: нет числа не значит ноль.
Есть в одном маркетплейсе сообщества
| Витрина | Репозиторий | Звёзды (GitHub) |
|---|---|---|
| tabh2o | h2oai/tabh2o | 7 |
Что входит в пакет
Так опубликовано на витрине Community GitHub marketplaces.
Скиллы: 1
tabh2o
Что менялось
- Стал продуктом, за которым мы следим
- Community GitHub marketplaces: появился
Похожие плагины
Продукты, чьи собственные названия, описания, инструменты и скиллы ближе всего по смыслу к этому, на всех витринах, которые мы читаем. Близость упорядочена только внутри этого списка.
-
Self-hosted MCP server for time-series forecasting and tabular ML via foundation models.
-
Forecast time series in CSV files: deterministic skforecast workflows and the script that ran.
-
Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
-
Run Welt's tabular, causal and forecasting models on your data. Hosted; OAuth sign-in.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
SQL-native time-series forecasting skills for the anofox_forecast DuckDB extension — models & ensembles, backtesting, statistical diagnostics, seasonality/changepoint detection…
-
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 science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and…
-
First-pass data analysis toolkit: correlations, PII flagging, anomalies, hypothesis tests, data dictionaries, and trend analysis on a dataset in a folder.
-
Valid and reliable data engineering and statistical analysis without hallucinations.
Похожие плагины по витринам
Тот же вопрос к каждой витрине по отдельности: есть ли там аналог этого плагина?
Есть на витрине 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…
-
DataRobot Agent Skills - Agentic skills for DataRobot enterprise AI and ML workflows. Covers model training, deployment, predictions, feature engineering, monitoring…
-
A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and…
-
Drop a CSV and get meaningful, actionable data insights — no formulas or coding required, even no questions needed. Autonomous exploratory analysis and guided investigation…
-
Guides creation and manipulation of TimeDataModel objects (TimeSeries, TimeSeriesTable) with rich metadata for energy, forecasting, and time series data pipelines.
Есть на витрине Claude Code: claude-plugins-official (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.
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
Есть на витрине 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.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
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…
Есть на витрине 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.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
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…
Есть на витрине Community GitHub marketplaces (5)
-
Forecast time series in CSV files: deterministic skforecast workflows and the script that ran.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
SQL-native time-series forecasting skills for the anofox_forecast DuckDB extension — models & ensembles, backtesting, statistical diagnostics, seasonality/changepoint detection…
-
Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and…
-
First-pass data analysis toolkit: correlations, PII flagging, anomalies, hypothesis tests, data dictionaries, and trend analysis on a dataset in a folder.
Есть на витрине Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
Есть на витрине Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
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…
Есть на витрине Cursor: cursor/plugins (5)
-
Explore datasets and tables and run SQL queries.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Track AI visibility, sentiment, and citations.
-
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.
Есть на витрине Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Analyze documents, images, videos, and audio.
-
Tools for interacting with Hugging Face models, datasets, research papers, and more.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
An MCP server to help make U.S. Government open datasets AI-friendly.
Есть на витрине Official MCP Registry (5)
-
Self-hosted MCP server for time-series forecasting and tabular ML via foundation models.
-
Forecast time series in CSV files: deterministic skforecast workflows and the script that ran.
-
Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
-
Run Welt's tabular, causal and forecasting models on your data. Hosted; OAuth sign-in.
-
Valid and reliable data engineering and statistical analysis without hallucinations.
Есть на витрине npm registry (MCP servers) (5)
-
Evidence-backed crypto due diligence with sources, freshness, and a runtime receipt on every call.
-
Live AWS, database & Kafka infrastructure context for AI coding assistants via MCP.
-
easytable-mcp io.github.chrischall/easytable-mcp
easyTable restaurant reservations for Claude — availability, and create/modify/cancel bookings
-
google-surf-mcp io.github.HarimxChoi/google-surf-mcp
Web, academic and code search with graph RAG, data lineage, ontology and cross-project schema links.
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
Найдено по смыслу, а не по общему коду или репозиторию: похожие плагины остаются разными продуктами, и это не обзор и не рекомендация.
Хотите такой знак у своего плагина в нашем каталоге?
Докажите, что поддерживаете его, файлом в репозитории, файлом на вашем домене или DNS-записью, и сможете показать этот знак на карточке, а ещё живые баннеры для сайта и README. Как проходит подтверждение
Ещё вы будете получать уведомления, когда витрина добавит плагин, снимет его, изменит отметку verified или список того, что он просит, а его удалённый endpoint встанет на мониторинг как веб-сервис.
Данные витрины Community GitHub marketplaces. Числа взяты из наших регулярных обходов витрин, последняя проверка . Контакты издателей плагинов мы не публикуем.