ClrKernel 

Jupyter messaging primitives for ClrKernel (a .NET Jupyter kernel): display-data types and emitters for producing rich MIME output from notebook cells.

Multi-language .NET notebook CLI. One tool, three modes: `clrkernel jupyter` (Jupyter kernel), `clrkernel serve` (stdio JSON-RPC server for the VS Code extension), and `clrkernel run` (headless... More information

Secret-free credential handling for ClrKernel: an ordered provider chain that resolves named secrets from the OS-native credential store (macOS Keychain, Windows Credential Manager, Linux libsecret) with an... More information

Execution core for ClrKernel: Roslyn C# scripting engine with #r nuget resolution, #!import/#!lib document loading (.dib, .ipynb, .csx), and display primitives — independent of any notebook transport (Jupyter,... More information

Provider-agnostic data access for ClrKernel: an ergonomic C# query API (connect → Query(sql).Results()/.Results<T>() → interactive grid + dynamic rows), a secret-free connection/secret store (OS credential... 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

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

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

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

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

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

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

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

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

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

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

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

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

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