---
title: "determined vs CL4R1T4S"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/determined-ai-determined-vs-elder-plinius-cl4r1t4s"
tools: ["determined-ai-determined", "elder-plinius-cl4r1t4s"]
---

# determined vs CL4R1T4S

*GraphCanon updated Aug 4, 2026*

## Verdict

Pick determined if determined is an open-source machine learning platform that simplifies distributed training and hyperparameter tuning for PyTorch and TensorFlow applications; pick CL4R1T4S if cL4R1T4S provides leaked system prompts for evaluating transparency and accessibility of various AI chat systems.

[determined](https://determined.ai) reports 3.2k GitHub stars, 373 forks, and 108 open issues, last pushed Mar 20, 2025. [CL4R1T4S](https://github.com/elder-plinius/CL4R1T4S) has 46k stars, 9.5k forks, and 122 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [determined's repository](https://github.com/determined-ai/determined) and [CL4R1T4S's repository](https://github.com/elder-plinius/CL4R1T4S).

| | [determined](/tools/determined-ai-determined.md) | [CL4R1T4S](/tools/elder-plinius-cl4r1t4s.md) |
| --- | --- | --- |
| Tagline | An open-source machine learning platform for distributed training and resource management. | Leaked system prompts for various AI agents include ChatGPT, Claude, Gemini among others emphasizing transparency and access. |
| Stars | 3,227 | 46,435 |
| Forks | 373 | 9,474 |
| Open issues | 108 | 122 |
| Language | Go | - |
| Adopt for | Determined is an open-source machine learning platform that simplifies distributed training and hyperparameter tuning for PyTorch and TensorFlow applications. | CL4R1T4S provides leaked system prompts for evaluating transparency and accessibility of various AI chat systems. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | AGPL-3.0 |
| Categories | Evaluation & Observability, Model Training | AI Agents, Evaluation & Observability |

## Trust and health

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

| | [determined](/tools/determined-ai-determined.md) | [CL4R1T4S](/tools/elder-plinius-cl4r1t4s.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 501d | 2d |
| Open issues (now) | 108 | 122 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/determined-ai-determined/trust.md) | [trust report](/tools/elder-plinius-cl4r1t4s/trust.md) |

## Decision facts: determined

- **Pricing:** freemium - The open-source version under Apache License is free to use. Additional enterprise features may incur costs, though specific pricing details are not provided here.
- **Requirements:** Installation involves using 'pip' for the CLI and subsequent cluster deployment steps via `det deploy`.
- **Adopt for:** Determined is an open-source machine learning platform that simplifies distributed training and hyperparameter tuning for PyTorch and TensorFlow applications.
- **License detail:** Apache-2.0

## Decision facts: CL4R1T4S

- **Adopt for:** CL4R1T4S provides leaked system prompts for evaluating transparency and accessibility of various AI chat systems.

## Choose when

### Choose determined if…

- License: determined is Apache-2.0, CL4R1T4S is AGPL-3.0.
- Pricing: The open-source version under Apache License is free to use. Additional enterprise features may incur costs, though specific pricing details are not provided here..
- Requirements: Installation involves using 'pip' for the CLI and subsequent cluster deployment steps via `det deploy`..
- Tags unique to determined: data-science, deep-learning, distributed-training, hyperparameter-optimization.
- Also covers Model Training.
- You require a streamlined solution for distributed model training, particularly if you are working with PyTorch or TensorFlow frameworks.

### Choose CL4R1T4S if…

- License: CL4R1T4S is AGPL-3.0, determined is Apache-2.0.
- Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini.
- Also covers AI Agents.
- - When you aim to assess the inner workings and transparency of popular chatbots like ChatGPT, Claude, or Gemini through publicly shared prompts and guidelines.

## When NOT to use determined

- Seeking a platform that supports more machine learning frameworks beyond PyTorch and TensorFlow.
- Your current stack does not include any of the supported infrastructures like Kubernetes or cloud services where Determined can be deployed.

## When NOT to use CL4R1T4S

- - Avoid using CL4R1T4S if your goal is official documentation support since it comprises leaked information that may not be updated by the AI system authorities.

## Common questions

### What is the difference between determined and CL4R1T4S?

determined: An open-source machine learning platform for distributed training and resource management.. CL4R1T4S: Leaked system prompts for various AI agents include ChatGPT, Claude, Gemini among others emphasizing transparency and access.. See the comparison table for live GitHub stats and shared categories.

### When should I choose determined over CL4R1T4S?

Choose determined over CL4R1T4S when License: determined is Apache-2.0, CL4R1T4S is AGPL-3.0; Pricing: The open-source version under Apache License is free to use. Additional enterprise features may incur costs, though specific pricing details are not provided here.; Requirements: Installation involves using 'pip' for the CLI and subsequent cluster deployment steps via `det deploy`.; Tags unique to determined: data-science, deep-learning, distributed-training, hyperparameter-optimization; Also covers Model Training; You require a streamlined solution for distributed model training, particularly if you are working with PyTorch or TensorFlow frameworks.

### When should I choose CL4R1T4S over determined?

Choose CL4R1T4S over determined when License: CL4R1T4S is AGPL-3.0, determined is Apache-2.0; Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini; Also covers AI Agents; - When you aim to assess the inner workings and transparency of popular chatbots like ChatGPT, Claude, or Gemini through publicly shared prompts and guidelines.

### When should I avoid determined?

Seeking a platform that supports more machine learning frameworks beyond PyTorch and TensorFlow. Your current stack does not include any of the supported infrastructures like Kubernetes or cloud services where Determined can be deployed.

### When should I avoid CL4R1T4S?

- Avoid using CL4R1T4S if your goal is official documentation support since it comprises leaked information that may not be updated by the AI system authorities.

### Is determined or CL4R1T4S more popular on GitHub?

CL4R1T4S has more GitHub stars (46,435 vs 3,227). Stars measure visibility, not whether either tool fits your constraints.

### Are determined and CL4R1T4S open source?

Yes - both are open-source projects on GitHub (determined: Apache-2.0, CL4R1T4S: AGPL-3.0).

### Where can I find alternatives to determined or CL4R1T4S?

GraphCanon lists graph-backed alternatives at [determined alternatives](/tools/determined-ai-determined/alternatives) and [CL4R1T4S alternatives](/tools/elder-plinius-cl4r1t4s/alternatives) ([determined markdown twin](/tools/determined-ai-determined/alternatives.md), [CL4R1T4S markdown twin](/tools/elder-plinius-cl4r1t4s/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/determined-ai-determined-vs-elder-plinius-cl4r1t4s.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, determined or CL4R1T4S?

determined: Dormant. CL4R1T4S: 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 determined and CL4R1T4S?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [determined trust report](/tools/determined-ai-determined/trust); [CL4R1T4S trust report](/tools/elder-plinius-cl4r1t4s/trust).

---

**Machine-readable endpoints**

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