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📄️ Execute async Python

This endpoint runs Python code in a Linux sandbox using the CPython interpreter. In contrast to the normal Python endpoint, this endpoint returns immediately, and the result of your code is sent to a webhook. You can return data using the `print` statement. To import dependencies, first add all the dependencies to the `requirements` array, and then import them using the common `import` statement. All dependencies will be automatically downloaded and installed for you, with the exception of native system dependencies. There is a time limit of 30 minutes and a memory limit of 512MB applied to your code, which also includes the dependency download process. The execution of this module costs 50 credits for every started 3 minutes of execution, so at least 50 and at most 500 credits.

📄️ Execute JavaScript code.

This endpoint runs JavaScript code in a Linux sandbox using the Bun JavaScript runtime. You can return data from the code using a top-level `return` statement or by setting the global `result` variable. Logging something to the console has no effect. To import dependencies, use the `require` function. All dependencies will be automatically downloaded and installed for you, with the exception of native system dependencies. There is a time limit of 180s and a memory limit of 512MB applied to your code, which also includes the dependency download process. One execution of this module costs 50 credits.

📄️ Execute Python code.

This endpoint runs Python code in a Linux sandbox using the CPython interpreter. You can return data from the code by setting the global `result` variable. Logging something to the console has no effect. To import dependencies, first add all dependencies to the `requirements` array, and then import them using the common `import` statement. All dependencies will be automatically downloaded and installed for you, with the exception of native system dependencies. There is a time limit of 180s and a memory limit of 512MB applied to your code, which also includes the dependency download process. One execution of this module costs 50 credits.

📄️ Execute Python code.

This endpoint runs Python code in a Linux sandbox using the CPython interpreter. You can return data from the code by setting the global `result` variable. Logging something to the console has no effect. To import dependencies, first add all dependencies to the `requirements` array, and then import them using the common `import` statement. All dependencies will be automatically downloaded and installed for you, with the exception of native system dependencies. There is a time limit of 180s and a memory limit of 512MB applied to your code, which also includes the dependency download process. One execution of this module costs 50 credits.