head to head · open source
vllm vs Helicone
vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. Helicone has 6,161 stars, 670 forks, 156 open issues and last shipped 2 days ago. vllm leads on adoption by 1,394% (92,028 vs 6,161 stars). vllm is written in Python under Apache-2.0; Helicone is written in TypeScript under Apache-2.0. vllm has attracted 24% as many forks as stars, Helicone 11%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (gpt, 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.
← all 8884 open source comparisons
Side by side
| vllm | Helicone | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 6.2K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-17 | 2026-09-16 |
| Forks | ⑂ 22K | ⑂ 670 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 92K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Helicone if
- You want the Helicone feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and Helicone fits your workflow better
About vllm
vLLM is a high throughput, memory efficient Python library for LLM inference and serving, built for ML engineers and platform teams who need to run open weight models on their own hardware at production scale.
About Helicone
Helicone is an open source AI gateway and LLM observability platform for AI engineers who need to monitor, evaluate, and experiment with applications built on large language models.
read the full Helicone overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is vllm or Helicone more popular?
vllm has 92,028 GitHub stars and Helicone has 6,161. vllm has the larger community by that measure.
Are vllm and Helicone free?
Both are open source. vllm is licensed under Apache-2.0 and Helicone under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and Helicone?
vllm is written in Python and Helicone 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, vllm or Helicone?
Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose Helicone if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.