Prometheus alternatives and similar tools
Based on the "Metric & Metric Collection" category.
Alternatively, view prometheus alternatives based on common mentions on social networks and blogs.
Grafana9.9 10.0 Prometheus VS GrafanaThe open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
InfluxDB9.5 9.4 Prometheus VS InfluxDBScalable datastore for metrics, events, and real-time analytics
Telegraf9.2 9.9 Prometheus VS TelegrafThe plugin-driven server agent for collecting & reporting metrics.
Statsd9.1 2.7 L4 Prometheus VS StatsdDaemon for easy but powerful stats aggregation
Packetbeat9.1 9.9 Prometheus VS Packetbeat:tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash
Dashing8.9 0.0 L2 Prometheus VS DashingRuby gem that allows for rapid statistical dashboard development. An all HTML5 approach allows for big screen displays in data centers or conference rooms.
Freeboard8.0 0.0 L4 Prometheus VS FreeboardA damn-sexy, open source real-time dashboard builder for IOT and other web mashups. A free open-source alternative to Geckoboard.
Graphite7.9 3.8 Prometheus VS GraphiteA highly scalable real-time graphing system
OpenTSDB7.7 0.0 L1 Prometheus VS OpenTSDBA scalable, distributed Time Series Database.
Collectd7.1 8.3 L3 Prometheus VS CollectdThe system statistics collection daemon. Please send Pull Requests here!
Diamond6.2 2.7 L3 Prometheus VS DiamondDiamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
KairosDB5.9 5.9 L3 Prometheus VS KairosDBFast scalable time series database
Facette5.0 0.0 Prometheus VS FacetteTime series data visualization software
RRDtool5.0 4.1 L1 Prometheus VS RRDtoolRRDtool 1.x - Round Robin Database
tcollector4.9 0.0 L2 Prometheus VS tcollectorData collection framework for OpenTSDB
Ganglia4.1 0.0 L2 Prometheus VS GangliaGanglia Web Frontend
PGObserver3.7 0.0 L3 Prometheus VS PGObserverA battle-tested, flexible & comprehensive monitoring solution for your PostgreSQL databases
Collectl2.0 0.0 L3 Prometheus VS CollectlExtending collectl to send process data to graphite
Static code analysis for 29 languages.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of Prometheus or a related project?
Visit prometheus.io for the full documentation, examples and guides.
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 leverage this dimensionality
- No dependency on distributed storage; single server nodes are autonomous
- An HTTP pull model for time series collection
- Pushing time series is supported via an intermediary gateway for batch jobs
- Targets are discovered via service discovery or static configuration
- Multiple modes of graphing and dashboarding support
- Support for hierarchical and horizontal federation
There are various ways of installing Prometheus.
Precompiled binaries for released versions are available in the download section on prometheus.io. Using the latest production release binary is the recommended way of installing Prometheus. See the Installing chapter in the documentation for all the details.
Docker images are available on Quay.io or Docker Hub.
You can launch a Prometheus container for trying it out with
docker run --name prometheus -d -p 127.0.0.1:9090:9090 prom/prometheus
Prometheus will now be reachable at http://localhost:9090/.
Building from source
To build Prometheus from source code, You need:
- Go version 1.17 or greater.
- NodeJS version 16 or greater.
- npm version 7 or greater.
Start by cloning the repository:
git clone https://github.com/prometheus/prometheus.git cd prometheus
You can use the
go tool to build and install the
promtool binaries into your
GO111MODULE=on go install github.com/prometheus/prometheus/cmd/... prometheus --config.file=your_config.yml
However, when using
go install to build Prometheus, Prometheus will expect to be able to
read its web assets from local filesystem directories under
web/ui/templates. In order for these assets to be found, you will have to run Prometheus
from the root of the cloned repository. Note also that these directories do not include the
React UI unless it has been built explicitly using
make assets or
An example of the above configuration file can be found here.
You can also build using
make build, which will compile in the web assets so that
Prometheus can be run from anywhere:
make build ./prometheus --config.file=your_config.yml
The Makefile provides several targets:
- build: build the
promtoolbinaries (includes building and compiling in web assets)
- test: run the tests
- test-short: run the short tests
- format: format the source code
- vet: check the source code for common errors
- assets: build the React UI
Service discovery plugins
Prometheus is bundled with many service discovery plugins. When building Prometheus from source, you can edit the [plugins.yml](./plugins.yml) file to disable some service discoveries. The file is a yaml-formated list of go import path that will be built into the Prometheus binary.
After you have changed the file, you
need to run
make build again.
If you are using another method to compile Prometheus,
make plugins will
generate the plugins file accordingly.
If you add out-of-tree plugins, which we do not endorse at the moment,
additional steps might be needed to adjust the
go.sum files. As
always, be extra careful when loading third party code.
Building the Docker image
make docker target is designed for use in our CI system.
You can build a docker image locally with the following commands:
make promu promu crossbuild -p linux/amd64 make npm_licenses make common-docker-amd64
NB if you are on a Mac, you will need gnu-tar.
Using Prometheus as a Go Library
We are publishing our Remote Write protobuf independently at buf.build.
You can use that as a library:
go get go.buf.build/protocolbuffers/go/prometheus/prometheus
This is experimental.
Prometheus code base
In order to comply with go mod rules, Prometheus release number do not exactly match Go module releases. For the Prometheus v2.y.z releases, we are publishing equivalent v0.y.z tags.
Therefore, a user that would want to use Prometheus v2.35.0 as a library could do:
go get github.com/prometheus/[email protected]
This solution makes it clear that we might break our internal Go APIs between minor user-facing releases, as breaking changes are allowed in major version zero.
React UI Development
For more information on building, running, and developing on the React-based UI, see the React app's [README.md](web/ui/README.md).
- Godoc documentation is available via pkg.go.dev. Due to peculiarities of Go Modules, v2.x.y will be displayed as v0.x.y.
- See the Community page for how to reach the Prometheus developers and users on various communication channels.
Refer to CONTRIBUTING.md
Apache License 2.0, see LICENSE.
*Note that all licence references and agreements mentioned in the Prometheus README section above are relevant to that project's source code only.