head to head · open source
gpt-load vs aimock
gpt-load has 7,199 GitHub stars, 798 forks, 21 open issues and last shipped 2 days ago. aimock has 1,003 stars, 82 forks, 1 open issues and last shipped yesterday. gpt-load leads on adoption by 618% (7,199 vs 1,003 stars). gpt-load is written in Go under MIT; aimock is written in TypeScript under MIT. gpt-load has attracted 11% as many forks as stars, aimock 8%. aimock was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| gpt-load | aimock | |
|---|---|---|
| GitHub stars | ★ 7.2K | ★ 1.0K |
| License | MIT | MIT |
| Written in | Go | TypeScript |
| Last push | 2026-11-03 | 2026-11-04 |
| Forks | ⑂ 798 | ⑂ 82 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick gpt-load if
- You weight community size — 7.2K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick aimock if
- You want the aimock feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and aimock fits your workflow better
About gpt-load
GPT Load A self hosted AI gateway for multi channel, multi credential setups API keys, subscription accounts, traffic scheduling, failure handling, request logs, and usage accounting — behind a single entry point. English · 中文 · 日本語 Official Website Sponsors Become a sponsor Sponsor details (collapsible) OfoxAI: Text, image, and video AI in one platform OfoxAI is a unified AI API platform bringing together text, image, and video models from multiple providers. With OpenAI compatible endpoints and native Anthropic and Gemini interfaces, developers can access models for AI applications, agents, and content…
read the full gpt-load overview →
About aimock
aimock Mock infrastructure for AI application testing — point your SDK at one local port and every provider, protocol, and service answers deterministically. Quick start · The suite · Record & replay · Docs One package, one port, zero dependencies. LLM APIs, image generation and editing, text to speech, transcription, audio translation and generation, video generation, embeddings, MCP tools, A2A agents, AG UI event streams, vector databases, search, rerank, and moderation — no keys, no network, no surprise bills. Quick Start The aimock Suite aimock mocks everything your AI app talks to: Run them all on one port…
read the full aimock overview →
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Frequently asked questions
Is gpt-load or aimock more popular?
gpt-load has 7,199 GitHub stars and aimock has 1,003. gpt-load has the larger community by that measure.
Are gpt-load and aimock free?
Both are open source. gpt-load is licensed under MIT and aimock under MIT. Neither carries a licence fee.
What is the difference between gpt-load and aimock?
gpt-load is written in Go and aimock in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, gpt-load or aimock?
Choose gpt-load if you want the larger community (7,199 stars) or its MIT licence terms. Choose aimock if its feature set, stack or MIT licence fits better. Both are self-hostable.