head to head · open source
haystack vs Tracely-ai
haystack has 26,559 GitHub stars, 3,153 forks, 143 open issues and last shipped yesterday. Tracely-ai has 1,353 stars, 153 forks, 21 open issues and last shipped 4 days ago. haystack leads on adoption by 1,863% (26,559 vs 1,353 stars). haystack is written in Python under Apache-2.0; Tracely-ai is written in Python under MIT. haystack has attracted 12% as many forks as stars, Tracely-ai 11%. haystack 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.
← all 20902 open source comparisons
Side by side
| haystack | Tracely-ai | |
|---|---|---|
| GitHub stars | ★ 27K | ★ 1.4K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-09-16 |
| Forks | ⑂ 3.2K | ⑂ 153 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick haystack if
- You weight community size — 27K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- 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 haystack
Haystack is an open source AI orchestration framework written in Python under the Apache 2.0 licence, for building context engineered, production ready large language model applications as modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation, and it is aimed at developers and teams building scalable agents, retrieval augmented generation, multimodal applications, semantic search, question answering, and conversational systems.
read the full haystack 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 →
More in Infrastructure & Operations
Related comparisons
More Orchestration & Scheduling projects
Compare either of these against the rest of the Orchestration & Scheduling field.
Frequently asked questions
Is haystack or Tracely-ai more popular?
haystack has 26,559 GitHub stars and Tracely-ai has 1,353. haystack has the larger community by that measure.
Are haystack and Tracely-ai free?
Both are open source. haystack is licensed under Apache-2.0 and Tracely-ai under MIT. Neither carries a licence fee.
What is the difference between haystack and Tracely-ai?
haystack is written in Python 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, haystack or Tracely-ai?
Choose haystack if you want the larger community (26,559 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.