AI tools for “notebook”
47 results (tools & skills) · 221 ms · understood as by meaning
Read or write Azure SQL Database from an AIDP notebook through the AIDP `aidataplatform` Spark format handler. Use when the user mentions Azure SQL, Azure SQL Database, AZURE_SQLSERVER, or a database.windows.net…
…columns that never match). Use after a migrated notebook has actually run and populated its AIDP target — this is the customer-facing proof the migration is correct, not merely that it…
…script for a Standard AIDP catalog as an executable notebook, locally and offline. --upload is a dry run and is refused with --execute; the structure itself is created by the snowmig_01_structure workflow at…
…after infa-migrate-mapping, before trusting any generated notebook, to surface every low-confidence conversion and REVIEW REQUIRED marker for a human decision (approve/edit/reject) rather than letting them ship…
Manage files and notebooks in the AIDP workspace filesystem — list, upload, download, read, create, move, rename, delete files/folders/notebooks. Use when the user wants to put a script/notebook/config into the…
Upload generated notebooks and create AIDP jobs via `infa2aidp cli deploy` (OCI-signed REST calls — upload files, create job objects). Use once notebooks from infa-migrate-mapping have been reviewed and are ready to…
…Workbench, run aidp-cli commands, manage AIDP agents/notebooks/workflows/clusters/catalogs/schemas/volumes/MLOps/bundles/audit/roles/credentials, execute a notebook workflow, export task outputs, or collect AIDP…
Use AIDP control-plane REST primitives for OCI signing, discovery, notebook upload, job dispatch, polling, output retrieval, and marker parsing. Use when another workflow must operate a live AIDP cluster through REST.
Use when a Spark job/notebook is slow, missing an SLA, spilling, OOMing, generating too many small files, or shuffling/skewing heavily; when reviewing Spark/PySpark code or a Spark UI for performance; or before running…
Create, edit, and execute AIDP notebooks and manage their kernel sessions. Use when the user wants to author a notebook, run cells/code on a cluster, attach/detach a kernel session, or build an interactive notebook…
…the %run dep tree and rewrites Databricks APIs in each dep notebook code-only. Pass-2 executes each task cell-by-cell on a live AIDP cluster, runs 4-way verify (exec error / stderr patterns / Spark logs / model eval),…
Targeted rewind of a migrated notebook. Re-executes cells from history index N onwards (or a specific cell range) through the execute+verify+fix loop, with a 'why' reason injected so the model knows what to fix. Use…
Pre-migration data-availability scan. Reads every notebook in a migration manifest, extracts every spark.read.table / spark.read.parquet / saveAsTable reference, and probes whether each target schema/table/path exists…
…Use BEFORE aidp-migrate-job — schemas must exist before notebook…
…mapping the migrator uses to rewrite paths during notebook + catalog migration. Use when (a) the user has external tables / files at s3:// paths that need to land on OCI Object Storage, OR (b)…
A JupyterLab extension for Claude Code, GitHub Copilot, Ollama, and OpenAI-compatible models — with MCP, Skills, Plugins, and admin policy.
Livedocs is your AI data scientist—a collaborative workspace combining the power of notebooks with the simplicity of app builders, designed for modern teams
Runcell is an AI agent for Jupyter notebooks that automates writing Python code, executing cells, debugging, and explaining data analysis results in real time.
Calcish app: Calculator + JavaScript + AI + Notebook. Download now. Calcish Home Docs Community Blog Download Calcish The Ultimate Calculator + JavaScript + AI + Notebook for macOS Programmable Calculator Instantly…
…allows you to create a personal multilingual vocabulary notebook with AI. NewWordFeaturesPricingTestimonialsBlogTry for freeToggle navigationMultilingual AI Vocabulary NotebookNewWord supports the vast majority of…