E2B vs Langfuse
E2B (E2B) and Langfuse (Langfuse) side by side on public data, as of Oct 9, 2026.
Langfuse has 2.4x the weekly package downloads of E2B (8.7M against 3.7M). Langfuse has 2.5x the GitHub stars of E2B (35.5K against 14.2K). Over the last 30 days downloads moved +14% for E2B and -2% for Langfuse.
Side-by-side numbers
| Metric | E2B | Langfuse |
|---|---|---|
| Gid Score | 60 | 63 |
| Overall rank | #21 | #15 |
| Downloads, last 7 days | 3.7M | 8.7M |
| Downloads, 7-day change | up 2.6% | up 11.2% |
| Downloads, 30-day change | up 13.7% | down 1.9% |
| VS Code installs | — | — |
| Marketplace rating | — | — |
| GitHub stars | 14.2K | 35.5K |
| Homebrew installs, 30 days | — | — |
| Hacker News mentions, 30 days | 34 | 13 |
| Latest stable release | 2.53.1 · 3d ago | 4.55.0 · yesterday |
| Stable releases, 90 days | ||
| Terminal-Bench (best run) | — | — |
| Price | Free + $150/mo | Free (OSS) |
| License | Apache-2.0 | MIT (enterprise features under a separate licence) |
| First released | — | — |
| Interfaces | Python SDK, TypeScript SDK, CLI | Web app, Python SDK, TypeScript SDK, OpenTelemetry |
| Models |
Trends
E2B
Secure cloud sandboxes where AI agents run code, use a filesystem and terminal, and browse, isolated from your own machines.
Pricing: Hobby is free with a one-time $100 usage credit. Pro is $150 a month plus usage, with higher concurrency as paid add-ons.
Latest release 2.53.1:
- cd4c62b: Publish the changes from the previous release, which was versioned but failed to publish to npm and PyPI.
Langfuse
An open-source platform for tracing, evaluating and debugging LLM apps and agents: every model and tool call with its cost and latency, prompt management, datasets and evaluations.
Pricing: Free to self-host. Langfuse Cloud has a free Hobby tier, Core at $29 a month, Pro at $199 a month and Enterprise at $2,499 a month; usage beyond the included 100k units costs $8 per 100k.
Latest release 4.55.0:
- feat(docker): create zero vuln base images and add fips mode
- feat(topics): rework the summary system prompt and default facets
- feat(web): show ClickHouse organization id in org debug information
- feat(topics): summarize all facets of a trace in one call