Converts a causal DAG into idiomatic Python (networkx) or R (dagitty) code, plus a deep-link URL to open it in DAG Studio.
Apache 2.0
522,758 tools. Updated 2026-09-06 13:08
"Coding in Python and R" matching MCP tools:
- Parse R or Python scripts to extract structured metadata including packages, variables, and dependencies using regex, without executing code or accessing data.AGPL 3.0
- Reproduce an IPUMS microdata extract by generating ready-to-run R or Python code from the extract number, making workflows repeatable.MIT
- Generate ready-to-run R or Python code from an NHGIS extract number to replicate the same data request.MIT
- Export routing history to CSV or JSON for analysis in Excel, Python, R, or other data tools. Get a file path and record count to track model performance.MIT
- Read content from any text file (R, Python, JSON, CSV, etc.) by providing its absolute path. Control output length with max_chars parameter.AGPL 3.0
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- Request an NHGIS extract by specifying datasets, time series tables, shapefiles, and output format; get an extract number and status to generate reproducible R or Python code.MIT
- Run code in an isolated sandbox with persistent state across calls, supporting Python, Node.js, and R for interactive development.MIT
- Check whether local Python and the fixed R/eRm Rasch engine are available, verifying that computation prerequisites for psychometric analyses are met.MIT
- Scan a folder of R and Python scripts to extract metadata, register code artifacts, and aggregate variables and datasets. Returns a summary of scripts, packages, datasets, and variables.AGPL 3.0
- Execute code securely in a sandboxed environment supporting Python, JavaScript, Bash, and R, for $0.005 per execution.MIT
- Retrieve all available Python and R code environments in Dataiku DSS, with optional filtering by project key.Apache 2.0
- Review R session details, Python symbols, and output files to verify installed packages and current session state at the beginning of an analysis.-
- Retrieve direct download URLs and ready-to-use code snippets for accessing OpenLandMap geospatial datasets in formats like curl, wget, Python, and R.-
- Assess linear correlation between two paired variables with a hypothesis test, returning r, df, p-value, confidence interval, and citation.MIT
- List available coding standards profiles for various tech stacks to enforce consistent code style and architecture.MIT
- Calculate R-squared to assess model fit using mean squared error and original data.MIT
- Scan Python files in a directory to generate an import dependency graph, providing a structured map and Mermaid diagram for visualization.MIT
- Analyze patterns in Bitcoin Stamps to identify common libraries, frameworks, and coding techniques used across the ecosystem.MIT
- Track delivery orders in real-time by entering an order code to monitor courier location and status updates through the UU跑腿 platform.MIT
- Verify the MCP server's Python environment, including executable path, version, and installed packages, to ensure correct setup and troubleshoot missing dependencies.BSD 3-Clause