head to head · open source
Prometheus vs Activeloop
Prometheus has 66,906 GitHub stars, 10,969 forks, 890 open issues and last shipped yesterday. Activeloop has 9,265 stars, 725 forks, 66 open issues and last shipped 6 months ago. Prometheus leads on adoption by 622% (66,906 vs 9,265 stars). Prometheus is written in Go under Apache-2.0; Activeloop is written in C++ under Apache-2.0. Prometheus has attracted 16% as many forks as stars, Activeloop 8%. 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.
← all 20902 open source comparisons
Side by side
| Prometheus | Activeloop | |
|---|---|---|
| GitHub stars | ★ 67K | ★ 9.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | C++ |
| Last push | 2026-11-02 | 2026-05-21 |
| Forks | ⑂ 11K | ⑂ 725 |
| 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 Activeloop if
- You want the Activeloop feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches C++
- You evaluated both and Activeloop 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 Activeloop
Deep Lake: Database for AI Docs • Get Started • API Reference • LangChain & VectorDBs Course • Blog • Whitepaper • Slack • Twitter What is Deep Lake? Deep Lake is a Database for AI powered by a storage format optimized for deep learning applications. Deep Lake can be used for: 1. Storing and searching data plus vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise grade LLM based products by offering storage for all data types (embeddings, audio, text, videos, images, dicom, pdfs…
read the full Activeloop overview →
More in Infrastructure & Operations
Related comparisons
More Databases projects
Compare either of these against the rest of the Databases field.
Frequently asked questions
Is Prometheus or Activeloop more popular?
Prometheus has 66,906 GitHub stars and Activeloop has 9,265. Prometheus has the larger community by that measure.
Are Prometheus and Activeloop free?
Both are open source. Prometheus is licensed under Apache-2.0 and Activeloop under Apache-2.0. Neither carries a licence fee.
What is the difference between Prometheus and Activeloop?
Prometheus is written in Go and Activeloop in C++. 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 Activeloop?
Choose Prometheus if you want the larger community (66,906 stars) or its Apache-2.0 licence terms. Choose Activeloop if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.