head to head · open source
Prometheus vs m_flow
Prometheus has 66,906 GitHub stars, 10,969 forks, 890 open issues and last shipped yesterday. m_flow has 4,511 stars, 256 forks, 13 open issues and last shipped 2 months ago. Prometheus leads on adoption by 1,383% (66,906 vs 4,511 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 | ★ 67K | ★ 4.5K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-09-01 |
| Forks | ⑂ 11K | ⑂ 256 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Prometheus if
- You weight community size — 67K 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 Visit prometheus.io for the full documentation, examples and guides. [ ][quay] [ ][hub] Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts when specified conditions are observed. The features that distinguish Prometheus from other metrics and monitoring systems are: A multi dimensional data model (time series defined by metric name and set of key/value dimensions) PromQL, a powerful and flexible query language to…
read the full Prometheus overview →
About m_flow
M flow RAG matches chunks. GraphRAG structures context. M flow scores evidence paths. Retrieval through reasoning and association — M flow operates like a cognitive memory system. m flow.ai · flowelement.ai · Quick Start · Architecture · Examples · OpenClaw Skill · Contact What is M flow? The real shift is not whether a system builds a graph, but what the graph is allowed to do at retrieval time. Graph topology encodes relevance. In most RAG systems, retrieval is still dominated by similarity: the query is embedded, textual units are ranked by vector distance, and structure—if present—mainly helps organize…
read the full m_flow overview →
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Frequently asked questions
Is Prometheus or m_flow more popular?
Prometheus has 66,906 GitHub stars and m_flow has 4,511. 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 (66,906 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.