head to head · open source
Grafana vs django-prometheus
Grafana has 77,638 GitHub stars, 14,905 forks, 3,326 open issues and last shipped yesterday. django-prometheus has 1,675 stars, 264 forks, 101 open issues and last shipped yesterday. Grafana leads on adoption by 4,535% (77,638 vs 1,675 stars). Grafana is written in TypeScript under AGPL-3.0; django-prometheus is written in Python under Apache-2.0. Grafana has attracted 19% as many forks as stars, django-prometheus 16%. Grafana was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (metrics, monitoring), 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
| Grafana | django-prometheus | |
|---|---|---|
| GitHub stars | ★ 78K | ★ 1.7K |
| License | AGPL-3.0 | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 15K | ⑂ 264 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Grafana if
- You weight community size — 78K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick django-prometheus if
- You want the django-prometheus 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 django-prometheus fits your workflow better
About Grafana
The open source platform for monitoring and observability Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture: Visualizations: Fast and flexible client side graphs with a multitude of options. Panel plugins offer many different ways to visualize metrics and logs. Dynamic Dashboards: Create dynamic & reusable dashboards with template variables that appear as dropdowns at the top of the dashboard. Explore Metrics: Explore your data through ad hoc queries and dynamic…
read the full Grafana overview →
About django-prometheus
django prometheus Export Django monitoring metrics for Prometheus.io Features This library provides Prometheus metrics for Django related operations: Requests & Responses Database access done via Django ORM Cache access done via Django Cache framework Metrics Reference For a detailed list and explanation of all metrics exported by this library, see documentation/metrics.md. Usage Requirements Django = 4.2 Python 3.9 and above. Installation Install with: Or, if you're using a development version cloned from this repository: This will install prometheus client as a dependency. Quickstart In your settings.py: In…
read the full django-prometheus overview →
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Frequently asked questions
Is Grafana or django-prometheus more popular?
Grafana has 77,638 GitHub stars and django-prometheus has 1,675. Grafana has the larger community by that measure.
Are Grafana and django-prometheus free?
Both are open source. Grafana is licensed under AGPL-3.0 and django-prometheus under Apache-2.0. Neither carries a licence fee.
What is the difference between Grafana and django-prometheus?
Grafana is written in TypeScript and django-prometheus 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, Grafana or django-prometheus?
Choose Grafana if you want the larger community (77,638 stars) or its AGPL-3.0 licence terms. Choose django-prometheus if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.