---
title: "llm-code-interpreter vs prompts.chat"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/e2b-dev-llm-code-interpreter-vs-f-prompts-chat"
tools: ["e2b-dev-llm-code-interpreter", "f-prompts-chat"]
---

# llm-code-interpreter vs prompts.chat

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick llm-code-interpreter when llm-code-interpreter is primarily TypeScript; prompts.chat is HTML; pick prompts.chat when prompts.chat is primarily HTML; llm-code-interpreter is TypeScript.

[llm-code-interpreter](https://e2b.dev/docs) reports 481 GitHub stars, 44 forks, and 6 open issues, last pushed Feb 11, 2025. [prompts.chat](https://prompts.chat) has 165k stars, 21k forks, and 60 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [llm-code-interpreter's repository](https://github.com/e2b-dev/llm-code-interpreter) and [prompts.chat's repository](https://github.com/f/prompts.chat).

| | [llm-code-interpreter](/tools/e2b-dev-llm-code-interpreter.md) | [prompts.chat](/tools/f-prompts-chat.md) |
| --- | --- | --- |
| Tagline | [DEPRECATED] Powered by AI Playgrounds by E2B. Code interpreter on steroids for ChatGPT. Run any language, any terminal process, use filesystem freely. All with access to the internet. | Share, discover, and collect prompts from the community |
| Stars | 481 | 165,372 |
| Forks | 44 | 21,400 |
| Open issues | 6 | 60 |
| Language | TypeScript | HTML |
| Adopt for | - | Critical decision points for evaluating `prompts.chat` |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Other |
| Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [llm-code-interpreter](/tools/e2b-dev-llm-code-interpreter.md) | [prompts.chat](/tools/f-prompts-chat.md) |
| --- | --- | --- |
| Maintenance | Archived (8%) | Very active (96%) |
| Days since push | 515d | 0d |
| Archived on GitHub | Yes | No |
| Open issues (now) | 6 | 60 |
| Owner type | Organization | User |
| Security scan | 19 low (19 low) | No lockfile |
| Full report | [trust report](/tools/e2b-dev-llm-code-interpreter/trust.md) | [trust report](/tools/f-prompts-chat/trust.md) |

## Decision facts: prompts.chat

- **Adopt for:** Critical decision points for evaluating `prompts.chat`

## Choose when

### Choose llm-code-interpreter if…

- llm-code-interpreter is primarily TypeScript; prompts.chat is HTML.
- License: llm-code-interpreter is MIT, prompts.chat is Other.
- Tags unique to llm-code-interpreter: api, chatgpt-api, chatgpt-plugin, code.
- llm-code-interpreter ships Docker support for self-hosted deployment.

### Choose prompts.chat if…

- prompts.chat is primarily HTML; llm-code-interpreter is TypeScript.
- License: prompts.chat is Other, llm-code-interpreter is MIT.
- Tags unique to prompts.chat: artificial-intelligence, awesome-list, claude, gemini.
- Critical decision points for evaluating `prompts.chat`

## When NOT to use llm-code-interpreter

- llm-code-interpreter is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use prompts.chat

- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between llm-code-interpreter and prompts.chat?

llm-code-interpreter: [DEPRECATED] Powered by AI Playgrounds by E2B. Code interpreter on steroids for ChatGPT. Run any language, any terminal process, use filesystem freely. All with access to the internet.. prompts.chat: Share, discover, and collect prompts from the community. See the comparison table for live GitHub stats and shared categories.

### When should I choose llm-code-interpreter over prompts.chat?

Choose llm-code-interpreter over prompts.chat when llm-code-interpreter is primarily TypeScript; prompts.chat is HTML; License: llm-code-interpreter is MIT, prompts.chat is Other; Tags unique to llm-code-interpreter: api, chatgpt-api, chatgpt-plugin, code; llm-code-interpreter ships Docker support for self-hosted deployment.

### When should I choose prompts.chat over llm-code-interpreter?

Choose prompts.chat over llm-code-interpreter when prompts.chat is primarily HTML; llm-code-interpreter is TypeScript; License: prompts.chat is Other, llm-code-interpreter is MIT; Tags unique to prompts.chat: artificial-intelligence, awesome-list, claude, gemini; Critical decision points for evaluating `prompts.chat`.

### When should I avoid llm-code-interpreter?

llm-code-interpreter is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid prompts.chat?

Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is llm-code-interpreter or prompts.chat more popular on GitHub?

prompts.chat has more GitHub stars (165,372 vs 481). Stars measure visibility, not whether either tool fits your constraints.

### Are llm-code-interpreter and prompts.chat open source?

Yes - both are open-source projects on GitHub (llm-code-interpreter: MIT, prompts.chat: Other).

### Where can I find alternatives to llm-code-interpreter or prompts.chat?

GraphCanon lists graph-backed alternatives at [llm-code-interpreter alternatives](/tools/e2b-dev-llm-code-interpreter/alternatives) and [prompts.chat alternatives](/tools/f-prompts-chat/alternatives) ([llm-code-interpreter markdown twin](/tools/e2b-dev-llm-code-interpreter/alternatives.md), [prompts.chat markdown twin](/tools/f-prompts-chat/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/e2b-dev-llm-code-interpreter-vs-f-prompts-chat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, llm-code-interpreter or prompts.chat?

llm-code-interpreter: Archived. prompts.chat: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for llm-code-interpreter and prompts.chat?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-code-interpreter trust report](/tools/e2b-dev-llm-code-interpreter/trust); [prompts.chat trust report](/tools/f-prompts-chat/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=e2b-dev-llm-code-interpreter`](/api/graphcanon/graph?tool=e2b-dev-llm-code-interpreter)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
