
GitLab
BitBucket
VS Code
Git
CodePen
Node.js
Stack Overflow
Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

Maple.dev
Datadog
Helicone AI
SigNoz
LangChain
LangSmith
NewRelic
LLM observability platform with an open source SDK that traces every AI agent call
Which is more popular?
Based on our record, GitHub seems to be more popular. It has been mentioned 2502 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | ambertrace.dev |
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| Company | Startup from the United States · 500 - 999 employees · 2008 | Startup from Usa & Portugal · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of GitHub yet.
LLM observability platform with an open source SDK that traces every AI agent call, token usage, and failures across OpenAI, Anthropic, and Google. Key capabilities: auto-patches OpenAI, Anthropic, and Google clients with no wrappers or decorators; unified multi-provider dashboard; token usage...
What each product offers, as listed by its team.


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As answered by people managing GitHub and Ambertrace.dev.
Ambertrace.dev's answer:
Ambertrace is the only LLM observability platform that instruments OpenAI, Anthropic, and Google with genuinely zero code changes: you need to add just two lines of code, no wrappers, no decorators, no middleware. The SDK auto-patches provider clients at initialization, captures every request, response, token count, and latency metric, then sends trace data asynchronously in background threads with approximately 1–2ms overhead. Most competing tools either require framework-specific plugins, manual span creation, or lock you into a single provider ecosystem. Ambertrace works at the provider SDK level, which means it traces everything regardless of whether you use LangChain, LlamaIndex, CrewAI, or custom agent code.
Ambertrace.dev's answer:
Ambertrace.dev's answer:
Three reasons:
First, setup friction: Ambertrace takes under 5 minutes to instrument an entire application. There are no config files, no environment variables to chain together, no framework-specific setup guides to follow. You install the package, call init(), and every LLM call is traced.
Second, no vendor lock-in: AmberTrace normalizes traces across OpenAI, Anthropic, and Google into a single unified format. You can compare cost, latency, and error rates across providers in one dashboard - critical for teams evaluating or switching models.
Third, deployment flexibility: the SDKs are open-source, and you can choose between our managed cloud or self-hosting on your own infrastructure. Competitors typically force you into one or the other. Ambertrace also uses usage-based pricing rather than per-seat pricing, so your entire team gets access without costs scaling linearly with headcount.
Ambertrace.dev's answer:
Ambertrace was born from firsthand frustration. While building AI agents in production, we kept hitting the same wall: an AI agent would return a confidently wrong answer after burning through thousands of tokens, and our logs would show nothing but a series of successful HTTP 200 responses. Traditional APM tools tracked requests and database queries perfectly, but they were completely blind to what mattered in LLM applications - the reasoning chains, the token economics, the silent failures. We looked at existing solutions and found they either required heavy framework-specific integration, locked you into one provider, or were enterprise APM add-ons that cost more than our entire infrastructure. So we built Ambertrace: a lightweight, provider-agnostic observability layer that any developer can add in two lines of code. We open-sourced the SDKs because we believe the instrumentation layer running inside your application should be transparent and trustworthy
Ambertrace.dev's answer:
Share your experience with using GitHub and Ambertrace.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team...
GitHub Discussions is a communication forum for the community around an open source or internal project. Discussions enable fluid, open conversation in a public forum. Discussions are transparent and accessible, but...
However, like any (human) product, the platform has its limits, downsides, and critics. GitHub has been barred by certain governments, and even if that isn’t exactly the company’s fault, the users are the ones limited...
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Recommendations tracked on public social media and blogs since March 2021.


Repository: GitHub - pierre-rouleau/tab-based-indent. - Source: dev.to / about 17 hours ago
ApiVersion: argoproj.io/v1alpha1 Kind: Application Metadata: name: guestbook namespace: argocd finalizers: - resources-finalizer.argocd.argoproj.io Spec: project: default source: repoURL:... - Source: dev.to / 2 days ago
You can find the complete source code and explore the architecture here: { github https://github.com }. - Source: dev.to / 3 days ago
Tracking Ambertrace.dev since Feb 2026.
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