---
title: "evalplus vs chatgpt-plugin-eval"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/evalplus-evalplus-vs-llm-platform-security-chatgpt-plugin-eval"
tools: ["evalplus-evalplus", "llm-platform-security-chatgpt-plugin-eval"]
---

# evalplus vs chatgpt-plugin-eval

*GraphCanon updated Aug 5, 2026*

## Verdict

Pick evalplus if evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license; pick chatgpt-plugin-eval if chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT.

[evalplus](https://evalplus.github.io) reports 1.8k GitHub stars, 205 forks, and 71 open issues, last pushed Oct 2, 2025. [chatgpt-plugin-eval](https://llm-platform-security.github.io/chatgpt-plugin-eval/) has 29 stars, 7 forks, and 1 open issues, last pushed Jul 29, 2024. Figures are from public GitHub metadata via [evalplus's repository](https://github.com/evalplus/evalplus) and [chatgpt-plugin-eval's repository](https://github.com/llm-platform-security/chatgpt-plugin-eval).

| | [evalplus](/tools/evalplus-evalplus.md) | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) |
| --- | --- | --- |
| Tagline | Rigorous evaluation of LLM-synthesized code | Framework for Evaluating Security in LLM Plugin Ecosystems |
| Stars | 1,794 | 29 |
| Forks | 205 | 7 |
| Open issues | 71 | 1 |
| Language | Python | HTML |
| Adopt for | evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license. | chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | The license information for chatgpt-plugin-eval is unknown. |
| Categories | Evaluation & Observability | Evaluation & Observability |

## Trust and health

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

| | [evalplus](/tools/evalplus-evalplus.md) | [chatgpt-plugin-eval](/tools/llm-platform-security-chatgpt-plugin-eval.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 306d | 736d |
| Open issues (now) | 71 | 1 |
| Full report | [trust report](/tools/evalplus-evalplus/trust.md) | [trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust.md) |

## Decision facts: evalplus

- **Adopt for:** evalplus offers tools for rigorously benchmarking and evaluating large language models like GPT-4 and ChatGPT in synthesizing program code using Python under the Apache-2.0 license.

## Decision facts: chatgpt-plugin-eval

- **Pricing:** freemium
- **Adopt for:** chatgpt-plugin-eval is an evaluation framework designed specifically to assess security, privacy, and safety concerns related to third-party plugins interfacing with large language models like ChatGPT.
- **License detail:** The license information for chatgpt-plugin-eval is unknown.

## Choose when

### Choose evalplus if…

- evalplus is primarily Python; chatgpt-plugin-eval is HTML.
- Tags unique to evalplus: benchmark, efficiency, program-synthesis, testing.
- evalplus ships Docker support for self-hosted deployment.
- When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.

### Choose chatgpt-plugin-eval if…

- chatgpt-plugin-eval is primarily HTML; evalplus is Python.
- Tags unique to chatgpt-plugin-eval: llm-plugins, privacy, security.
- - When evaluating the security risks of integrating third-party services into your LLM platform through plugins

## When NOT to use evalplus

- Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities.
- Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.

## When NOT to use chatgpt-plugin-eval

- - In cases where only generic, high-level security guidance is required without an in-depth framework analysis
- - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins

## Common questions

### What is the difference between evalplus and chatgpt-plugin-eval?

evalplus: Rigorous evaluation of LLM-synthesized code. chatgpt-plugin-eval: Framework for Evaluating Security in LLM Plugin Ecosystems. See the comparison table for live GitHub stats and shared categories.

### When should I choose evalplus over chatgpt-plugin-eval?

Choose evalplus over chatgpt-plugin-eval when evalplus is primarily Python; chatgpt-plugin-eval is HTML; Tags unique to evalplus: benchmark, efficiency, program-synthesis, testing; evalplus ships Docker support for self-hosted deployment; When you need advanced benchmarks specific to large language model generated program synthesis, such as from GPT-4 or ChatGPT.

### When should I choose chatgpt-plugin-eval over evalplus?

Choose chatgpt-plugin-eval over evalplus when chatgpt-plugin-eval is primarily HTML; evalplus is Python; Tags unique to chatgpt-plugin-eval: llm-plugins, privacy, security; - When evaluating the security risks of integrating third-party services into your LLM platform through plugins.

### When should I avoid evalplus?

Avoid if you require broad language model benchmarking that is not specifically focused on program synthesis capabilities. Do not use evalplus if your project does not benefit from or need Docker-based isolation for code execution safety measures, such as in controlled lab environments without external dependencies.

### When should I avoid chatgpt-plugin-eval?

- In cases where only generic, high-level security guidance is required without an in-depth framework analysis - When the primary focus is on improving performance metrics rather than addressing specific security and privacy concerns of LLM plugins

### Is evalplus or chatgpt-plugin-eval more popular on GitHub?

evalplus has more GitHub stars (1,794 vs 29). Stars measure visibility, not whether either tool fits your constraints.

### Are evalplus and chatgpt-plugin-eval open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to evalplus or chatgpt-plugin-eval?

GraphCanon lists graph-backed alternatives at [evalplus alternatives](/tools/evalplus-evalplus/alternatives) and [chatgpt-plugin-eval alternatives](/tools/llm-platform-security-chatgpt-plugin-eval/alternatives) ([evalplus markdown twin](/tools/evalplus-evalplus/alternatives.md), [chatgpt-plugin-eval markdown twin](/tools/llm-platform-security-chatgpt-plugin-eval/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/evalplus-evalplus-vs-llm-platform-security-chatgpt-plugin-eval.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, evalplus or chatgpt-plugin-eval?

evalplus: Slowing. chatgpt-plugin-eval: Dormant. 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 evalplus and chatgpt-plugin-eval?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [evalplus trust report](/tools/evalplus-evalplus/trust); [chatgpt-plugin-eval trust report](/tools/llm-platform-security-chatgpt-plugin-eval/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=evalplus-evalplus`](/api/graphcanon/graph?tool=evalplus-evalplus)
- 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/_
