A blend of Grafana and Marimo, with flavours of AMG and PMM.
Grafana Suraya is a community distribution of Grafana, with batteries included, similarly like AWS and Percona are doing it.
Pairing Grafana with reactive notebooks using Jupyter and Marimo technologies optimally connects the Grafana and Python software ecosystems, and provides a gateway from one to the other.
Amazon Managed Grafana (AMG) provides scalable and secure data visualization for your operational metrics, logs, and traces, as a fully managed service developed in collaboration with Grafana Labs and Amazon Web Services (AWS). It includes 40+ additional best-of-breed plugins from the Grafana Marketplace. On top of this curated set of baseline plugins, Suraya additionally includes all 7 plugins of the Volkov Labs Business Suite for Grafana.
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Grafana, traditionally like »Dashboard anything. Observe everything.«, and still going strong, it makes you query, visualize, alert on, and understand your data no matter where it’s stored. With Grafana, you can create, explore, and share all of your data through beautiful, flexible dashboards, on top of many high-quality database connectors.
Marimo is an open-source reactive notebook for Python — reproducible, git-friendly, executable as a script, and shareable as an app. Marimo notebooks are reproducible, extremely interactive, designed for collaboration, and reactive, which means that when running a cell or interacting with an UI element, Marimo will backtrack and update all dependent cells and UI elements when needed. Contrary to Jupyter Notebooks using the JSON format, Marimo notebooks are stored as pure Python, executable as a script, and deployable as an app.
Percona Monitoring and Management (PMM) is an open source database observability, monitoring, and management tool for use with MySQL, PostgreSQL, MongoDB, and the servers on which they run, enabling to view node- to single- query performance metrics for all of your databases in a single place. The Query Analytics subsystem quickly locates costly and slow-running queries to address bottlenecks. Percona Advisors provide performance, security, and configuration recommendations, and alerting and management features like backup, restore, and built-in open source Private DBaaS complete the story.
PyViz enumerates the best open-source (OSS) Python data visualization tools in different categories. Marimo provides the gateway to all of them.
uv pip install suraya
python -m suraya.system.mk bootopen http://localhost:8080/Credentials are: admin/grafana
Start Grafana Suraya with admin password grafana.
docker run --rm -it \
--publish=3000:3000 \
--env='GF_SECURITY_ADMIN_PASSWORD=grafana' \
ghcr.io/daq-tools/grafana-suraya:latestNote: This OCI image is not publicly available yet. However, it is easy to build it on your workstation: Please consider following up at reading the documentation about the development sandbox.
-
Batteries included: A curated set of Grafana plugins provides the convenience of Amazon Managed Grafana (AMG) for the masses, with the additional freedom that it is easy to add your own, proprietary or not.
-
Developer friendly: Fast, incremental OCI builds, also on pull requests, so you can ship development results fast, without even thinking about it. Short release cycles, and a friendly community with a happy-to-merge attitude, in order to ship early and often.
-
Releases: Grafana Suraya is an OCI-based distribution, based on stable releases of Grafana OSS, and its nightly variants.
alias suraya='docker run --rm -it --entrypoint= ghcr.io/daq-tools/grafana-suraya:latest'Display Grafana version.
suraya grafana --versionDisplay list of installed plugins.
suraya gf-plugins-listae3e-plotly-panel @ 0.5.0
alexanderzobnin-zabbix-app @ 4.6.1
dlopes7-appdynamics-datasource @ 3.10.4
grafana-athena-datasource @ 3.0.0
grafana-bigquery-datasource @ 2.0.1
grafana-clickhouse-datasource @ 4.5.1
grafana-clock-panel @ 2.1.8
grafana-cloudflare-datasource @ 0.1.2-preview
grafana-databricks-datasource @ 1.10.4
grafana-datadog-datasource @ 3.12.4
grafana-dynatrace-datasource @ 3.21.4
grafana-github-datasource @ 2.0.1
grafana-gitlab-datasource @ 2.3.11
grafana-googlesheets-datasource @ 2.0.1
grafana-honeycomb-datasource @ 2.7.7
grafana-iot-sitewise-datasource @ 1.25.2
grafana-iot-twinmaker-app @ 2.0.0
grafana-jira-datasource @ 1.11.4
grafana-mongodb-datasource @ 1.22.8
grafana-newrelic-datasource @ 4.6.8
grafana-opensearch-datasource @ 2.22.3
grafana-oracle-datasource @ 2.10.4
grafana-redshift-datasource @ 1.20.0
grafana-salesforce-datasource @ 1.7.8
grafana-saphana-datasource @ 1.7.5
grafana-servicenow-datasource @ 2.12.14
grafana-snowflake-datasource @ 1.12.4
grafana-splunk-datasource @ 5.4.1
grafana-splunk-monitoring-datasource @ 1.7.10
grafana-timestream-datasource @ 2.9.13
grafana-wavefront-datasource @ 2.5.8
grafana-x-ray-datasource @ 2.13.1
marcusolsson-gantt-panel @ 0.8.1
marcusolsson-hourly-heatmap-panel @ 2.0.1
michaeldmoore-scatter-panel @ 1.2.0
moogsoft-aiops-app @ 9.0.0
netsage-sankey-panel @ 1.1.3
operato-windrose-panel @ 1.2.0
pixie-pixie-datasource @ 0.0.9
redis-datasource @ 2.2.0
simpod-json-datasource @ 0.6.6
volkovlabs-echarts-panel @ 6.5.0
volkovlabs-form-panel @ 5.0.0
volkovlabs-grapi-datasource @ 3.4.0
volkovlabs-image-panel @ 6.2.0
volkovlabs-rss-datasource @ 4.3.0
volkovlabs-table-panel @ 2.0.0
volkovlabs-variable-panel @ 3.6.0
Display number of installed plugins.
suraya gf-plugins-count48