
Sculptor
Omnara
Vibe Island
Notch Pilot
SuperBased
Conductor
CrewTower
Usage analysis tool for coding (agent) CLIs

Helicone AI
LangSmith
LangChain
Portkey
PromptLayer
Braintrust.dev
Openlayer
Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Which is more popular?
Based on our record, Langfuse seems to be more popular. It has been mentioned 33 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | ccusage.com | langfuse.com |
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| Company | — | Startup from the United States |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of ccusage yet.
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data....
What each product offers, as listed by its team.


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Langfuse in two minutes
How often each product is chosen within a category, 0–100% relative to the other.


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Ten free AI prompt tools in 2026 across four categories: prompt generators (SurePrompts, Anthropic Console, OpenAI Playground), libraries (AIPRM, PromptHero, FlowGPT, Awesome ChatGPT Prompts), open-source workflow...
Recommendations tracked on public social media and blogs since March 2021.


Tracking ccusage since Sep 2026.
We have researched and experimented with several AI evaluation platforms, including Arize Phoenix, Microsoft Foundry, and Langfuse. After evaluating them against our requirements and roadmap, we shortlisted Microsoft Foundry and Langfuse... - Source: dev.to / 4 days ago
Langfuse is the other serious option in this category if you also want observability, evals and traces bundled with prompt management. Different scope, more setup, worth comparing honestly. - Source: dev.to / 26 days ago
Langfuse with Microsoft.Extensions.AI has an appealing story: update prompts without redeploying. A prompt fetches its config blob—model, tokens, temperature—which the code passes straight to the LLM. - Source: dev.to / 30 days ago
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