Loops vs Kaeso
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Loops compared with Kaeso
| Detail | 
Loops | 
Kaeso |
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| What it does | Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
| Open-source AI gateway you run yourself
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Not given
| Open source
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| Pricing | Not given
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| Key features | - forward_backward() operation for computing loss and accumulating gradients
- optim_step() for updating the adapter
- sample() for generating from current or saved policy
- save_state() to save and resume training state
- Tinker API compatibility
- Separate trainer and sampler resources
- Synchronous and asynchronous RL patterns
- Frozen base model weights with LoRA adapter updates
- Support for open models from Qwen, Google, DeepSeek, Moonshot AI, NVIDIA, and Z.ai
| - Single sign-on with OpenID Connect and two-factor authentication
- Format translation through KPP canonical format, allowing any SDK to call any model
- Spend and token budgets with hard limits that are never skipped
- Complete request logging with status, tokens, cost, timing and content when permitted
- Encrypted provider key storage with AES-256-GCM
- Web console for managing organizations, projects, members, roles and request logs
- Stateless Rust gateway for horizontal scaling
- Support for 14 built-in AI providers
- Docker Compose deployment with Caddy, PostgreSQL, Valkey and ClickHouse
- Error reporting that names unsupported fields instead of silently dropping them
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| What makes it different | - Managed training and sampling infrastructure, no setup required
- Tinker-compatible API for easy migration
- Ready-made SFT and RL recipes through Loops cookbook
- Support for vision-language models
| - OpenID Connect single sign-on and two-factor authentication included in the open-source code, not an enterprise edition
- Hard budgets with worst-case reserves for every request to prevent burst overruns
- Single MIT-licensed repository for gateway, console, KPP and UI library with no separate enterprise version
- Rust gateway architecture with no interpreter on the hot path for performance
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 77 ● no change since last check | 20 ▲ +17 (up) since last check |
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| Trust Flow (Majestic) | 13 | 4 |
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| Citation Flow (Majestic) | 43 | 19 |
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| Referring domains (Majestic) | 550 | 15 |
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3 details filled in for both companies.
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