# E2B vs Langfuse

> E2B: Secure cloud sandboxes that give AI agents isolated Linux machines to run code
> Langfuse: Open-source platform to trace, evaluate and improve LLM applications and agents

- E2B profile: https://finderatlas.com/tools/e2b
- Langfuse profile: https://finderatlas.com/tools/langfuse
- Comparison page: https://finderatlas.com/compare/e2b-vs-langfuse
- Last reviewed: November 2026

## Verdict

E2B and Langfuse are both Developer Tools tools. Langfuse scores higher in FinderAtlas's editorial review (8.4 vs 8.2 out of 10), led by feature depth and value for money. Both have a free plan or trial.

### Choose E2B if

- You want a tool built for running untrusted LLM-generated code, building code interpreters, and giving coding or computer-use agents a disposable Linux environment.
- Hardware-level isolation through Firecracker microVMs rather than shared-kernel containers.
- Model- and framework-agnostic, with Python and JavaScript SDKs.

### Choose Langfuse if

- You want a tool built for production tracing and debugging of LLM apps and agents, prompt versioning, and systematic evaluation on real data.
- MIT-licensed core with free self-hosting, avoiding vendor lock-in.
- Covers tracing, prompt management and evaluation in one platform.

## Pricing

| | E2B | Langfuse |
| --- | --- | --- |
| Pricing model | Freemium | Freemium |
| Free plan or trial | Yes | Yes |
| Starting price | $0 | $0 |

## Features

| Feature | E2B | Langfuse |
| --- | --- | --- |
| Firecracker microVM Isolation | Yes | Not listed |
| Code and Command Execution | Yes | Not listed |
| Pause, Resume and Fork | Yes | Not listed |
| Network and Secret Controls | Yes | Not listed |
| Persistent Storage | Yes | Not listed |
| Custom Templates | Yes | Not listed |
| Observability | Yes | Not listed |
| Self-Hosting and BYOC | Yes | Not listed |
| Tracing | Not listed | Yes |
| Evaluation | Not listed | Yes |
| Prompt Management | Not listed | Yes |
| Playground | Not listed | Yes |
| Datasets and Experiments | Not listed | Yes |
| Cost and Latency Dashboards | Not listed | Yes |
| Open-Source Self-Hosting | Not listed | Yes |
| APIs and MCP Servers | Not listed | Yes |

## Platforms

| Platform | E2B | Langfuse |
| --- | --- | --- |
| Web | Yes | Yes |
| Windows | No | No |
| macOS | No | No |
| iOS | No | No |
| Android | No | No |
| API | Yes | Yes |
| Browser Extension | No | No |
| CLI | Yes | Yes |

## E2B strengths

- Hardware-level isolation through Firecracker microVMs rather than shared-kernel containers.
- Model- and framework-agnostic, with Python and JavaScript SDKs.
- Pause, resume and fork of sandboxes (up to 100 forks) suits parallel agent runs and evaluations.
- Free Hobby tier with $100 in credits and no credit card.
- Self-hosting and BYOC options for enterprises, plus SOC 2 Type II compliance.

## E2B limitations

- Pro costs $150/month before usage, a large step up from the one-time Hobby credit.
- No GPU support; sandboxes are limited to 8 vCPUs and 8 GiB RAM.
- Hobby sessions are capped at 1 hour of continuous runtime.
- Enterprise carries a stated $3,000/month minimum.

## Langfuse strengths

- MIT-licensed core with free self-hosting, avoiding vendor lock-in.
- Covers tracing, prompt management and evaluation in one platform.
- Free Hobby tier with 50k units per month and no credit card required.
- Over 100 integrations, plus OpenTelemetry for languages without a native SDK.
- Core plan at $29/month with unlimited users.

## Langfuse limitations

- Hobby is limited to 2 users and 30 days of data access.
- SOC 2, ISO 27001 and HIPAA support start at the $199/month Pro plan, and SSO and RBAC need a $300/month add-on.
- Audit logs, SCIM and SLAs are restricted to the $2,499/month Enterprise plan.
- Usage-based unit overage adds cost for high-volume tracing.

## FAQ

**Is E2B better than Langfuse?**

It depends on your workflow. E2B is built for running untrusted LLM-generated code, building code interpreters, and giving coding or computer-use agents a disposable Linux environment. Langfuse is built for production tracing and debugging of LLM apps and agents, prompt versioning, and systematic evaluation on real data.

**What are the key feature differences between E2B and Langfuse?**

E2B: Secure cloud sandboxes that give AI agents isolated Linux machines to run code. Langfuse: Open-source platform to trace, evaluate and improve LLM applications and agents.

**Does E2B or Langfuse have a free plan?**

Yes, both do. E2B is freemium and Langfuse is freemium, and each has a free plan or trial.

**Which is cheaper, E2B or Langfuse?**

Both can be used for free. Paid plans differ in limits and features, so compare the tiers in the pricing table above.