JetBrains Fleet
JetBrains Fleet is a versatile standalone development tool designed by JetBrains, known for its robust architecture and support across multiple operating systems including Windows, macOS, Linux, and Chromebook. It offers an impressive context window of 128k tokens, catering to developers who require expansive code editing capabilities. Fleet supports local inference and provides full terminal access, making it an ideal choice for developers seeking a high degree of control and integration with multi-file projects. With its strong privacy mode adhering to a standard privacy policy and SOC2 Type II certification, users can trust its security measures. The tool is accessible with a free tier and offers a Pro version, ensuring flexibility in pricing. However, setting up JetBrains Fleet requires configuration through the .fleetrc file, which may necessitate some initial adjustments by the user.
Pros
- ✓ Supports multiple OS including Chromebook
- ✓ Local inference enabled
- ✓ Full terminal access
- ✓ Predictive edits feature
- ✓ Free tier available
Cons
- ✕ Requires setup for migration
- ✕ No support for specific LLMs
PearAI
PearAI is a standalone development tool developed by PearAI that supports a variety of operating systems such as Windows, macOS, and Linux. It distinguishes itself by supporting multiple language models including GPT-4 and the proprietary PearAI Model. With a remarkable context window of 200k tokens, PearAI is designed for handling extensive data sets and complex projects. It features local inference and full terminal access, allowing developers to work efficiently across multiple files. PearAI prioritizes user privacy with a Zero Data Retention policy and holds SOC2 Type II certification for enterprise-level security. The tool offers a free tier, with pricing options extending up to $200 per month, providing scalability based on user needs. Migration is seamless, facilitated by the .pearrc configuration file, making it a user-friendly option for developers looking to switch tools.
Pros
- ✓ Supports multiple LLMs including GPT-4
- ✓ Extended context window of 200k tokens
- ✓ Zero Data Retention policy
- ✓ Seamless migration
Cons
- ✕ No support for Chromebook
- ✕ Pricing can be high for advanced features
Comparison Table
| Feature | JetBrains Fleet | PearAI |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | Windows, macOS, Linux, Chromebook | Windows, macOS, Linux |
| Developer | JetBrains | PearAI |
| Supported Llms | – | GPT-4, GPT-4o, Claude 3 Opus, Llama 3.1 405b, PearAI Model |
| Custom Model | – | PearAI Model |
| Context Window | 128k tokens | 200k tokens |
| Agentic Editing | Yes, multi-file | Yes, multi-file |
| Terminal Access | Full | Full |
| Privacy Mode | Standard Privacy Policy | Zero Data Retention (ZDR) |
| Certifications | SOC2 Type II (Enterprise) | SOC2 Type II (Enterprise) |
| About Price | Free/Pro | Free – $200/mo |
| Config File | .fleetrc | .pearrc |
| Migration | Requires setup | Seamless |
Conclusion
Both JetBrains Fleet and PearAI offer robust features tailored for developers, with unique strengths in platform support and privacy policies. JetBrains Fleet excels in OS compatibility and simplicity for users with privacy needs, while PearAI stands out for its advanced LLM support and extensive context capabilities. Choosing between the two will depend on the specific requirements of your development projects and privacy preferences.