Skip to content

The independent reference for AI agent sandboxesLast reviewed November 8, 2026

Best for

Best sandboxes for code interpreters and data analysis

Answer in brief

For code interpreters, our top picks are E2B, Azure Container Apps dynamic sessions and AWS Bedrock AgentCore. We weight fast startup, stateful Python execution, file handling, isolation and simple pricing.

By the Agent Sandboxes editors · Updated November 8, 2026

What code interpreters need from a sandbox

A code interpreter lets a model run Python to analyse data, do maths, draw charts and convert files. Sessions are short and frequent, so the needs are:

Fast startup — users wait while the sandbox boots.
Stateful execution (Jupyter-style kernels) so variables persist across calls in a conversation.
File upload/download and rich outputs such as charts.
Strong isolation because every user’s code is untrusted, and ideally no network by default.

Best sandboxes for code interpreters and data analysis, ranked

E2B

Open-source cloud sandboxes for AI agents, each a Firecracker microVM, with pause/resume, snapshots and forking.
- Firecracker microVM
- Open source
- Self-hostable
- BYOC
- Pause/resume
Why it’s here: A dedicated Code Interpreter SDK with stateful Jupyter-style execution and chart output, on Firecracker microVMs, with pre-built templates and generous free credit.

Full profile →E2B alternatives Website ↗
Azure Container Apps dynamic sessions

Azure service that hands out Hyper-V-isolated sessions from prewarmed pools, either as a built-in code interpreter or running your own container image.
- Hyper-V VM
Why it’s here: Hyper-V-isolated Python and Node interpreters from prewarmed pools with egress disabled by default and first-party LangChain, LlamaIndex and Semantic Kernel tools. 220-second execution cap.

Full profile →Website ↗
AWS Bedrock AgentCore

AWS’s managed agent platform: a Code Interpreter tool for running agent-generated code and a Runtime that hosts each agent session in its own microVM.
- MicroVM (Runtime)
Why it’s here: Managed Code Interpreter with sessions up to 8 hours, IAM/VPC integration and CPU billing that skips I/O wait.

Full profile →Website ↗
OpenAI Code Interpreter & Hosted Shell

Hosted containers in the OpenAI Responses API that the model uses to run Python (Code Interpreter) or shell commands (Hosted Shell).
- VM (unspecified)
Why it’s here: Zero extra infrastructure if you are already on the OpenAI Responses API; tied to OpenAI models.

Full profile →Website ↗
Google Agent Platform Code Execution

Google-managed sandbox API (formerly part of Vertex AI Agent Engine) that lets agents deployed anywhere run Python in stateful, network-isolated environments.
- gVisor
Why it’s here: gVisor-isolated, no-network Python with state retained up to 14 days; fixed library set.

Full profile →Website ↗
Modal Sandboxes

Sandboxes on Modal’s serverless compute platform for running untrusted code at very high scale, with GPUs, snapshots and tunnels.
- gVisor or VM
- GPU
- Pause/resume
Why it’s here: Fast-starting gVisor sandboxes with GPUs for heavier analysis or ML inside the interpreter.

Full profile →Modal Sandboxes alternatives Website ↗

Side by side

Sandbox	Isolation	Open source	Self-host / BYOC	Cold start (vendor)	Max session	Snapshots / pause	GPU	SDKs
E2B	Firecracker microVM	Yes	Yes / Yes	Not documented	1 h / 24 h (Pro)	Yes / Yes	No	Python, JavaScript/TypeScript
Azure Container Apps dynamic sessions	Hyper-V VM	No	No / No	Sub-second (pooled)	220 s / exec	No / No	No	REST API, Azure CLI, LangChain, LlamaIndex, Semantic Kernel
AWS Bedrock AgentCore	MicroVM (Runtime)	No	No / No	Not documented	Up to 8 h	Not documented / Not documented	No	Python (AgentCore SDK), AWS SDKs, AWS CLI
OpenAI Code Interpreter & Hosted Shell	VM (unspecified)	No	No / No	Not documented	20 min idle	No / No	No	OpenAI Responses API, Containers API, OpenAI SDKs
Google Agent Platform Code Execution	gVisor	No	No / No	<1 s (warm)	14-day state	No / Not documented	No	Python (Agent Platform SDK), REST API
Modal Sandboxes	gVisor or VM	No	No / Not documented	<1 s	Up to 24 h	Yes / Yes	Yes	Python, JavaScript/TypeScript, Go

Frequently asked questions

What is the easiest way to add a code interpreter to my AI app?

If you use OpenAI models, the built-in Code Interpreter tool needs no extra vendor. For model-agnostic apps, E2B’s Code Interpreter SDK is the most common choice; Azure and AWS offer managed equivalents inside their clouds.

Cite this page

Agent Sandboxes. (2026). Best sandboxes for code interpreters and data analysis. agentsandboxes.org. Last reviewed November 8, 2026. https://agentsandboxes.org/best/code-interpreter/

Found an error or a missing sandbox? Submit a correction — every entry links to the sources it relies on.