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ingero vs trigger.dev
ingero logo
ingero
★ 84
vs
trigger.dev logo
trigger.dev
★ 15.1k

ingero vs trigger.dev

ingero: Ingero is a production-grade eBPF agent that traces GPU workloads from Linux kernel events through CUDA API calls to Python source lines. It provides causal root cause analysis with under 2% overhead and no code changes. It includes an MCP server for AI agent integration, enabling natural language diagnosis.; trigger.dev: Trigger.dev is an open-source platform designed for building AI workflows and agents using TypeScript. It provides a robust environment for long-running tasks with built-in features like retries, queues, observability, and elastic scaling, eliminating typical serverless timeouts.

01

TL;DR

ingero logoChoose ingero if…

Diagnose GPU stalls and latency spikes in training workloads

trigger.dev logoChoose trigger.dev if…

Building and deploying long-running AI agents and complex workflows.

02

Side-by-Side Comparison

Field
ingero logoingero
trigger.dev logotrigger.dev
Category
Observability
Observability
Stars
★ 84
★ 15.1k
License
Apache-2.0
Apache-2.0
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
causal-tracing, cuda, cuda-graphs
AI Agents, Workflow Automation, TypeScript
03

Features

ingero logoingero
01Full-stack GPU tracing from kernel to Python source
02Causal root cause analysis with automated diagnosis
03<2% overhead, zero code changes, single binary
04MCP server for AI assistant integration
05Multi-node fleet queries and browser dashboard
trigger.dev logotrigger.dev
01Long-running tasks without timeouts
02Durable cron schedules
03Realtime updates and LLM streaming
04Human-in-the-loop (Waitpoints)
05Comprehensive observability, logging, and tracing
04

Use Cases

ingero logoingero
↳Diagnose GPU stalls and latency spikes in training workloads
↳Identify CUDA API bottlenecks and CPU/GPU contention
↳Multi-node distributed training debugging with fan-out queries
trigger.dev logotrigger.dev
↳Building and deploying long-running AI agents and complex workflows.
↳Implementing robust background job processing with built-in durability and retries.
↳Creating human-in-the-loop systems that require human approval or feedback.
05

Best For

ingero logoingero
TrendingObservabilityLLM Infra
trigger.dev logotrigger.dev
Most PopularTrendingEssential
FAQ

FAQ

What is the difference between ingero and trigger.dev?
Both ingero and trigger.dev are in the Observability category. ingero has 84 stars, while trigger.dev has 15.1k stars.
Which is better, ingero or trigger.dev?
The best choice depends on your use case. Choose ingero if Diagnose GPU stalls and latency spikes in training workloads, and trigger.dev if Building and deploying long-running AI agents and complex workflows..
Is ingero free or open source?
Yes, ingero is open source on GitHub (Apache-2.0).
Is trigger.dev free or open source?
Yes, trigger.dev is open source on GitHub (Apache-2.0).
→

Related

Alternatives to ingero →Alternatives to trigger.dev →ingero details →trigger.dev details →
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