head to head · open source
Trigger vs Tracely-ai
Trigger has 16,345 GitHub stars, 1,464 forks, 342 open issues and last shipped today. Tracely-ai has 1,353 stars, 153 forks, 21 open issues and last shipped 4 days ago. Trigger leads on adoption by 1,108% (16,345 vs 1,353 stars). Trigger is written in TypeScript under Apache-2.0; Tracely-ai is written in Python under MIT. Trigger has attracted 9% as many forks as stars, Tracely-ai 11%. Trigger was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Trigger | Tracely-ai | |
|---|---|---|
| GitHub stars | ★ 16K | ★ 1.4K |
| License | Apache-2.0 | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-20 | 2026-09-16 |
| Forks | ⑂ 1.5K | ⑂ 153 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Trigger if
- You weight community size — 16K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick Tracely-ai if
- You want the Tracely-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Tracely-ai fits your workflow better
About Trigger
Trigger is an open source TypeScript platform for building and deploying AI agents and workflow tasks. It lives in the infrastructure, orchestration, and scheduling ecosystem, and it is positioned as a way to run long running AI tasks without typical serverless timeout constraints. The project provides a software development kit, a deployment target, and operational features such as retries, queues, observability, and elastic scaling.
read the full Trigger overview →
About Tracely-ai
Tracely is a Python, MIT licensed project for AI agent operations and continuous integration. It lives in the AI agent, LLM observability, CI/CD, and evaluation ecosystem. The project treats production traces as the source of regression tests: when an agent run fails, Tracely can detect the failure, cluster related failures, freeze the bad run into a hermetic replayable case, and block a pull request that would reintroduce the same problem.
read the full Tracely-ai overview →
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Frequently asked questions
Is Trigger or Tracely-ai more popular?
Trigger has 16,345 GitHub stars and Tracely-ai has 1,353. Trigger has the larger community by that measure.
Are Trigger and Tracely-ai free?
Both are open source. Trigger is licensed under Apache-2.0 and Tracely-ai under MIT. Neither carries a licence fee.
What is the difference between Trigger and Tracely-ai?
Trigger is written in TypeScript and Tracely-ai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Trigger or Tracely-ai?
Choose Trigger if you want the larger community (16,345 stars) or its Apache-2.0 licence terms. Choose Tracely-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.