head to head · open source
Prometheus vs m_flow
Prometheus has 66,106 GitHub stars, 10,840 forks, 890 open issues and last shipped yesterday. m_flow has 4,504 stars, 258 forks, 13 open issues and last shipped 17 days ago. Prometheus leads on adoption by 1,368% (66,106 vs 4,504 stars). Prometheus is written in Go under Apache-2.0; m_flow is written in Python under Apache-2.0. Prometheus has attracted 16% as many forks as stars, m_flow 6%. Prometheus was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| Prometheus | m_flow | |
|---|---|---|
| GitHub stars | ★ 66K | ★ 4.5K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-17 | 2026-09-01 |
| Forks | ⑂ 11K | ⑂ 258 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Prometheus if
- You weight community size — 66K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick m_flow if
- You want the m_flow feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and m_flow fits your workflow better
About Prometheus
Prometheus is an open source monitoring system and time series database, part of the Cloud Native Computing Foundation ecosystem. It collects metrics from configured targets at defined intervals, evaluates alerting rules, and visualizes results. Designed for reliability in dynamic environments, it operates without reliance on distributed storage, ensuring each server node functions independently.
read the full Prometheus overview →
About m_flow
M flow is a Python bio inspired cognitive memory engine positioned as a new paradigm for Graph RAG. It lives in the LLM retrieval and agent memory ecosystem, as a database like component for knowledge graphs, episodic memory, long term memory, and MCP workflows.
read the full m_flow overview →
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Frequently asked questions
Is Prometheus or m_flow more popular?
Prometheus has 66,106 GitHub stars and m_flow has 4,504. Prometheus has the larger community by that measure.
Are Prometheus and m_flow free?
Both are open source. Prometheus is licensed under Apache-2.0 and m_flow under Apache-2.0. Neither carries a licence fee.
What is the difference between Prometheus and m_flow?
Prometheus is written in Go and m_flow 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, Prometheus or m_flow?
Choose Prometheus if you want the larger community (66,106 stars) or its Apache-2.0 licence terms. Choose m_flow if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.