Learn how Helicone and LangWatch differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm observability & evaluation is best for you.
Last 30 days
Last commit
21 hours agoRepository age
4 yearsVersion
v2025.08.21-1License
Apache-2.0Repository
helicone/helicone
Last 30 days
Last commit
2 hours agoRepository age
3 yearsVersion
3.21.0License
Apache-2.0Repository
langwatch/langwatch
Both Helicone and LangWatch have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Helicone having 6,236 stars and LangWatch having 4,991 stars on GitHub. In terms of developer contributions, Helicone has 691 forks, indicating moderate developer engagement.
LangWatch is growing faster, adding 119 stars in the last 30 days (+2.4%) against adding 60 stars for Helicone (+1%). LangWatch is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Helicone last updated 21 hours ago and LangWatch 2 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python. However, they differ in their additional technology choices: Helicone uses Next.js while LangWatch leverages Golang, SCSS, Ruby.
Both projects started around the same time, with Helicone beginning 4 years ago and LangWatch 3 years ago.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in LLM Observability & Evaluation.