ClrKernel 

DAX cells for ClrKernel: query Analysis Services Tabular models and Microsoft Fabric / Power BI semantic models from a notebook with `#!dax`, against named cubes registered by `#!dax-connect`, with results... More information

Shared Microsoft Entra (Azure AD) sign-in for ClrKernel's data providers: credential chains for interactive notebook use and for service principals, access-token acquisition, and the scopes for Azure Analysis... More information

SQL Server Analysis Services (Tabular) provider for ClrKernel: connect to a semantic model, query it with DAX/DMV, read table & partition metadata, recalculate, process partitions/tables/models, and add or... More information

Provider-agnostic data-engineering building blocks for ClrKernel: a step/DAG pipeline (dependency-ordered parallel execution, downstream skip on failure, live status board), an idempotent multi-pass deployment... More information

C# script language services for ClrKernel: Roslyn-powered completion, hover (quick info), and signature help that reflect a live notebook session — prior-cell symbols, #r "nuget:" types, and imports.... More information

Microsoft Fabric warehouse helpers for ClrKernel: from C# notebook cells, connect to a Fabric Warehouse SQL endpoint (Microsoft Entra auth), run T-SQL, and bulk-insert query results into warehouse tables by... More information

Microsoft SQL Server provider for ClrKernel: named, secret-free connections (Integrated Security, SQL login, or Microsoft Entra — passwords resolve from the OS credential store, never from committed files), a... More information

JSON-RPC-over-stdio notebook host for ClrKernel: executes C# cells via ClrKernel.Core.Scripting for editor integrations (VS Code notebooks) — no Python or Jupyter required. Hosted by the ClrKernel CLI... More information

ODBC database provider for ClrKernel: connect to any ODBC data source (a DSN or driver + connection string) from C# notebook cells with the same fluent query API as the other providers —... More information

Oracle database provider for ClrKernel: connect to Oracle from C# notebook cells with the same fluent query API as the other providers — Oracle.Connect(host, port, service, user,... More information

Mermaid diagram cells for ClrKernel: renders Mermaid diagrams (flowchart, sequence, class, state, ER, gantt, …) as self-contained, fully offline notebook output. Drives the `#!mermaid` cell language and a C#... More information

SQL cells for ClrKernel: run T-SQL against one or more Microsoft SQL Server connections from a notebook, with results rendered as an interactive grid. Connections are named and secrets are kept out of committed... More information

Jupyter kernel implementation for ClrKernel: the ZeroMQ wire protocol, message handlers, and kernel event loop that host ClrKernel.Core.Scripting over the Jupyter messaging protocol. Used by the ClrKernel CLI... More information

Headless runner for ClrKernel notebooks: parses and executes .nb.md (executable markdown), .dib, .ipynb, and .csx files with papermill-style parameterization (-p/-r/-f/-y) and executed .ipynb output (-o). Built... More information

EXPERIMENTAL JDBC database provider for ClrKernel: run Java JDBC drivers inside .NET (via IKVM) and query them with the same fluent API as the other providers. Requires IKVM (currently Windows-centric) and a... More information

PowerShell cells for ClrKernel: hosts PowerShell in-process (Microsoft.PowerShell.SDK) with a persistent runspace so notebooks can run PowerShell with shared state across cells, rich object output, and native... More information

HTTP request cells for ClrKernel: parses and executes .http files in the VS Code REST Client syntax (variables, request chaining, system variables) and renders responses as rich, self-contained notebook output.... More information

HTML rendering for ClrKernel (a .NET Jupyter kernel) display concepts: the interactive results grid, rich object and sequence rendering, ANSI console colour, and progress bars — registered as pluggable... More information

Shell cells for ClrKernel: run bash, zsh, or sh in notebook cells (`#!bash` / `#!zsh` / `#!sh`) with the working directory and environment persisting across cells and ANSI colour output rendered in the... More information