head to head · open source
gpt-load vs Integuru
gpt-load has 7,200 GitHub stars, 797 forks, 21 open issues and last shipped yesterday. Integuru has 4,792 stars, 378 forks, 24 open issues and last shipped 4 months ago. gpt-load leads on adoption by 50% (7,200 vs 4,792 stars). gpt-load is written in Go under MIT; Integuru is written in Python under AGPL-3.0. gpt-load has attracted 11% as many forks as stars, Integuru 8%. gpt-load 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 | Integuru | |
|---|---|---|
| GitHub stars | ★ 7.2K | ★ 4.8K |
| License | MIT | AGPL-3.0 |
| Written in | Go | Python |
| Last push | 2026-11-04 | 2026-06-24 |
| Forks | ⑂ 797 | ⑂ 378 |
| 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 Integuru if
- You want the Integuru feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Python
- You evaluated both and Integuru 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 Integuru
Integuru v0 This repo contains the earliest version of the Integuru agent we released publicly. It shows the original approach: using browser network requests to generate runnable integration code for platforms without official APIs. We've kept building since then. The newest version of Integuru is available at www.integuru.com. Integuru v0 in Action What Integuru v0 Does You use to generate a file containing all browser network requests, a file with the cookies, and write a prompt describing the action triggered in the browser. The agent outputs runnable Python code that hits the platform's internal endpoints…
read the full Integuru overview →
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Frequently asked questions
Is gpt-load or Integuru more popular?
gpt-load has 7,200 GitHub stars and Integuru has 4,792. gpt-load has the larger community by that measure.
Are gpt-load and Integuru free?
Both are open source. gpt-load is licensed under MIT and Integuru under AGPL-3.0. Neither carries a licence fee.
What is the difference between gpt-load and Integuru?
gpt-load is written in Go and Integuru in Python. 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 Integuru?
Choose gpt-load if you want the larger community (7,200 stars) or its MIT licence terms. Choose Integuru if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.