Create a DAT in TouchDesigner preloaded with Python code, choosing a text, execute, or script type to control how the code runs.
MIT
Destructive
554,531 tools. Updated 2026-09-13 00:47
"Learning or Writing Code in Python" matching MCP tools:
- Execute Python code in a secure sandbox environment for calculations and data manipulation. The tool runs simple Python scripts with restricted imports and returns results with logs.MIT
- Run Python code in a sandbox with numpy, math, and ax_core.argmin. Use export(name, value) to return results.MIT
- Execute Python code in a restricted subprocess to deterministically verify math, logic, and code analysis tasks using symbolic engines.Apache 2.0
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- Ask questions that require Python code execution for calculations or data analysis, using Groq compound models to generate and run code in real time.MIT
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Matching MCP Connectors
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
Security + bug + perf + refactor audit for Python. Returns 0-10 score + MD report.
- Export any saved estimator or pipeline as executable Python code. Provide a handle ID and optional variable name to generate runnable code with fit example.BSD 3-Clause
- Check Python code before writing it to disk: parse, lint, type-check, and scan for security issues and credentials without running untrusted source.MIT
- Set up authentication for TwitterAPI.io by learning API key usage, required headers, and viewing code examples in cURL, Python, and JavaScript.MIT
- Retrieve system environment details including OS, Python version, installed libraries, and execution mode before generating code. Helps tailor code to the current setup and avoid errors.MIT
- Retrieve SDK code examples for building Agno agents. Provide a category such as agents, tools, or memory to get complete, runnable Python code.MIT
- Retrieve the team's code standards before writing changes, ensuring your code meets expectations from the start and minimizing review corrections.-
- Solves complex problems by searching the web, analyzing URLs, and executing Python code for data analysis and research.MIT
- Analyze code snippets in JavaScript, TypeScript, Python, Java, Go, PHP, or Ruby to identify bugs, code smells, security issues, and complexity problems without needing a file on disk.MIT
- Explain code or concepts by providing a snippet or topic with optional context, and receive clear, actionable explanations for learning, documentation, and deeper understanding using GLM.MIT
- Get a quick start example with ready-to-run Python code to simulate a PAM (Principal at Maturity) contract using the JACTUS API.Apache 2.0
- Execute Python or JavaScript code in a secure sandbox. Install packages via comma-separated list and retrieve stdout, stderr, and error details.Apache 2.0
- Execute Python code in a secure sandbox using Jupyter syntax, capturing standard output and errors.MIT
- Run Python code securely in a WebAssembly sandbox to execute scripts and return output. Supports pure Python without external dependencies.Apache 2.0
- Execute Python or JavaScript code securely in a sandboxed environment with configurable timeout up to 60 seconds. Authenticate using a credit token or x402.MIT
- Execute Python code in a sandboxed environment using Gemini. Captures stdout, stderr, and execution results for analysis.MIT