Waydev VS TraceAgently
Compare Waydev VS TraceAgently and see what are their differences
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Waydev
LinearB
GitPrime
Swarmia
Haystack Analytics
CodeClimate
OKAY HQ
66Analytics
TraceAgently
LangSmith
Langfuse
Helicone AI
Arise
AgentNotch
Balagan Agent
Deeptracer.dev
Waydev helps managers to move from a feeling driven to a data-driven approach. Waydev includes concrete metrics for your daily stand-ups, 1-to-1 meetings, checking the history of the engineers work and benchmarking your stats with the industry.
TraceAgently is an observability API for AI agents. Drop a few lines into any agent and get a real-time dashboard showing every thought, tool call, tool result, and error in the exact order they happened.
AI agents fail silently. Your logs show nothing useful. You have no idea if your agent called the wrong tool, looped, or hit a token limit.
Raw OpenAI, Claude, Gemini, LangChain, CrewAI, or any custom loop. No framework lock-in.
Free tier: 5,000 events/month, no credit card.
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TraceAgently's answer:
Python and Node SDKs
TraceAgently's answer:
Most observability tools wrap your LLM calls. TraceAgently works with any agent loop you write yourself, not just supported frameworks. You instrument what matters and see it live.
TraceAgently's answer:
No framework lock-in, no SDK wrapping your entire stack. Works in 5 minutes and has a genuinely free tier.
TraceAgently's answer:
Developers building AI agents who need to debug what's happening inside the loop.
TraceAgently's answer:
Built it after shipping agents that worked in testing and broke in production with no useful logs to debug them.
Based on our record, Waydev seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For example, in our traditional approach, every step and process is defined and has to be adhered to. Any change has to go through multiple approvals. The scope in itself has a very limited scope or flexibility towards change. I am on the fence looking for resources and tools that will help to slowly execute and implement these changes. With regards to resources, I am currently looking at the scrum guide and with... Source: about 4 years ago
When youโre ready to translate data into greater visibility, and this visibility into faster, more efficient teams, you can start looking at development analytics platforms like Waydev. - Source: dev.to / almost 5 years ago
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
LangSmith - Build and deploy LLM applications with confidence
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.
Helicone AI - Open-source LLM Observability for Developers