June 2025 Endpoint of the Month: JS and PY Code Executors

Code executors have become indispensable for developers, businesses, and anyone in need of running scripts, automating tasks, and processing data within secure environments. This trend is due to the fact that code executors run reliably without the costs of setting up complex environments. Therefore, in 2025, there is an urgent need for versatile and efficient tools to run code securely and quickly. That said, we have chosen our code executors as June's endpoints of the month. Throughout June, we will be highlighting their potential and capabilities, starting today with a brief introduction.

JavaScript Code Executor

Our JavaScript executor operates using the Bun JavaScript runtime within a secure Linux sandbox environment. Here, developers can run JavaScript code using a top-level return statement or by setting a global result variable for outputs. Importantly, we have made the process of importing dependencies very simple and eliminated any manual set up. Users only need to use the "require" function and all the necessary libraries will be automatically downloaded and installed. Finally, the code executor has a time limit of 3 minutes (180 seconds) and provides memory with a capacity of 512MB.

Python Code Executor

Our Python executor uses the CPython interpreter which runs in a secure Linux sandbox that ensures a reliable and isolated execution environment. In this executor, users can easily run Python scripts, set a global result variable to return data, and manage dependencies through a simple requirements array. Same as with JavaScript, once the dependencies have been specified, they will be automatically downloaded and installed. Furthermore, it also offers a runtime limit of 3 minutes (180 seconds) with 512MB of memory.

Async Code Executor

The asynchronous Python executor also uses the CPython interpreter and securely runs in a Linux sandbox. Unlike the normal Python executor, this executor is designed for longer-running tasks of up to 15 minutes runtime. In addition, another distinguishing feature of this executor is its ability to process Python code asynchronously. This means that, when executing the code, it immediately returns control and sends the results to a pre-defined webhook once processing is complete.

How These Features Benefit You

• Automatic Dependency Management: Easily specify and automatically install the necessary dependencies.

• Secure Execution Environment: We ensure safety and isolation of our users' code executions by running the code in a Linux sandbox.

• Versatility for Different Needs: Choose from synchronous or asynchronous execution depending on your project requirements with flexible runtime limits.

• Plenty of Runtime and Memory: Resource allocation allows for efficient handling of both simple and complex computations.