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Verified July 24, 2026AI Open Source Observability Platform

Grafana AI

Grafana Labs / grafana.com

AI-enhanced open source observability platform for visualising metrics, logs, and traces with ML anomaly detection, natural language query generation, and AI alert suggestions.

Visit Grafana AI

Pricing

Free

Free plan

Yes

Category

Developer Tools

Platforms

2

Rating

4.6 (30000)

Free plan

Yes

API access

Yes

Open source

Yes

Platforms

2

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What is Grafana AI?

Grafana is the world's most widely deployed open source observability dashboarding platform, used by organisations to visualise metrics from Prometheus, InfluxDB, Elasticsearch, and hundreds of other data sources in a single interface. Its AI features bring ML-powered anomaly detection and natural language querying to the open source standard in monitoring dashboards.

Grafana Machine Learning uses ML models trained on historical metric data to detect anomalies and predict future metric values — alerting when metrics deviate from predicted ranges rather than static thresholds. For metrics with seasonal patterns (daily peaks, weekly rhythms), ML prediction provides more accurate anomaly detection than manual threshold configuration.

Loki AI extends Grafana's log aggregation system (Loki) with AI-powered log pattern analysis — automatically identifying common log patterns, detecting anomalies in log streams, and suggesting queries from natural language descriptions for teams unfamiliar with LogQL query syntax.

Grafana OnCall, the incident management product, integrates with Grafana's alerting to route on-call notifications with AI deduplication and escalation intelligence.

The Grafana ecosystem spans hundreds of data source plugins — connecting observability data from any metric, log, or trace source into unified dashboards. This breadth makes Grafana the common visualisation layer across heterogeneous monitoring stacks.

observabilityopen-sourcemonitoringaidashboardsmetrics
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How Grafana AI works

Grafana AI runs as ml platform software built around data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api, with API access for teams that want to embed it into their own products.

Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Grafana AI.

01

Grafana Machine Learning

ML anomaly detection and prediction on metric time series learning historical patterns — more accurate than static threshold alerting for complex seasonal metrics.

02

400+ data source plugins

Connects to virtually any metric, log, or trace data source making Grafana the universal visualisation layer across heterogeneous monitoring stacks.

03

Loki log management

Scalable log aggregation with AI pattern analysis, anomaly detection, and natural language LogQL query generation for teams unfamiliar with log query syntax.

Grafana Machine Learning (anomaly detection, prediction)Loki (log aggregation with AI pattern analysis)LogQL AI query generationTempo (distributed tracing)Mimir (scalable metrics)Grafana OnCall (incident management)Alert intelligenceGrafana Cloud managed serviceOpen source self-hosted

Best use cases

Metrics, logs, and traces unified visualisation
ML anomaly detection on metrics
Log management with AI analysis
Open source monitoring stack
Custom observability dashboards

Who should use it

DevOps engineers
SREs
Platform engineers
Monitoring and observability teams
Any team needing custom dashboards

Pros

  • Most widely deployed open source observability dashboard — largest plugin ecosystem and community
  • ML anomaly detection without static threshold configuration for complex metric patterns
  • Free tier and open source option provide access at no cost for teams of all sizes
  • Unified visualisation across any monitoring source regardless of underlying tool

Cons

  • AI features require Grafana Cloud — self-hosted lacks ML features without cloud connectivity
  • Dashboard setup requires configuration expertise — not as turnkey as commercial observability platforms
  • Competing with Datadog and New Relic who provide integrated observability without configuration overhead

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Pricing Analysis

Is it worth the price?

Open source Grafana is free. Grafana Cloud free tier (50GB metrics, 50GB logs). Pro $299/month. Enterprise custom.

Model

Open Source

Starting price

Free

Free trial

No

Similar Tools

Tools like Grafana AI

Datadog (covered) provides integrated observability without configuration. New Relic (covered) provides full-stack observability. Kibana provides Elasticsearch-based visualisation. Prometheus provides the time-series database commonly paired with Grafana.

Comparison

Grafana AI vs Hugging Face

A side-by-side look at the closest alternative in this category.

Grafana AI favicon

Grafana AI

Grafana Labs

Hugging Face favicon

Hugging Face

Hugging Face

Overview
Rating
4.630,000 reviews
4.78,000 reviewsTop rated
Category
Developer Tools
Developer Tools
Subcategory
AI Open Source Observability Platform
AI Model Hub
Company
Grafana Labs
Hugging Face
Status
Active
Active
Launch year
2023
2016
Tags
observabilityopen-sourcemonitoringaidashboardsmetrics
open-sourcemachine-learningmodelsdatasetstransformersresearch
Pricing
Starting price
FreeBest value
$9/mo
Pricing model
Open Source
Freemium
Free plan
Yes
Yes
Free trial
✕
✕
Pricing notes

Open source Grafana is free. Grafana Cloud free tier (50GB metrics, 50GB logs). Pro $299/month. Enterprise custom.

Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.

Capabilities
Best for
Metrics, logs, and traces unified visualisationML anomaly detection on metricsLog management with AI analysisOpen source monitoring stackCustom observability dashboards
Open source model explorationModel fine-tuningResearchML model deploymentDataset management
Target audience
DevOps engineersSREsPlatform engineersMonitoring and observability teamsAny team needing custom dashboards
AI researchersML engineersData scientistsDevelopersAcademic researchers
AI type
ML Platform
ML Platform
Modalities
Data
TextImageAudioVideoCode
Technical
Model provider
Grafana Labs
Open Source Community
Model names
—
LlamaMistralStable DiffusionFLUXWhisper
API available
✓
✓
Open source
✓
✓
Deployment
Open SourceSaaSSelf-hosted
SaaSAPIOpen Source
Platforms
WebAPI
WebPython library
Integrations
PrometheusInfluxDBElasticsearchDatadogAWS CloudWatch400+ pluginsAPI
GitHubGoogle ColabAWSAzureGCPVS Code
Team collaboration
✓
✓
Trust & security
Security

SOC 2 Type II. GDPR compliant. Open source self-hosted option. Grafana Cloud enterprise data handling agreements.

Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.

Privacy notes

Grafana Cloud transmits metric, log, and trace data to Grafana Labs infrastructure. Self-hosted Grafana keeps all observability data on customer infrastructure — preferred option for sensitive data.

Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.

Verdict
Pros
  • Most widely deployed open source observability dashboard — largest plugin ecosystem and community
  • ML anomaly detection without static threshold configuration for complex metric patterns
  • Free tier and open source option provide access at no cost for teams of all sizes
  • Unified visualisation across any monitoring source regardless of underlying tool
  • De facto standard hub for open source AI models with 500,000+ available
  • Transformers library provides consistent API for diverse model families
  • Spaces enable easy demo deployment without web infrastructure
  • Free for public models and strong community support
Cons
  • AI features require Grafana Cloud — self-hosted lacks ML features without cloud connectivity
  • Dashboard setup requires configuration expertise — not as turnkey as commercial observability platforms
  • Competing with Datadog and New Relic who provide integrated observability without configuration overhead
  • Technical platform primarily for developers and researchers
  • Inference API quality varies for very large or complex models
  • Navigation complexity increases with scale of the platform
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

Grafana Labs

Platforms

Web, API

Deployment

Open Source, SaaS, Self-hosted

Integrations

Prometheus, InfluxDB, Elasticsearch, Datadog, AWS CloudWatch, 400+ plugins, API

Team Collaboration

Yes

Launch Year

2023

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

SOC 2 Type II. GDPR compliant. Open source self-hosted option. Grafana Cloud enterprise data handling agreements.

Grafana Cloud transmits metric, log, and trace data to Grafana Labs infrastructure. Self-hosted Grafana keeps all observability data on customer infrastructure — preferred option for sensitive data.

Reviews

What users are saying

Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.

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FAQ

Common questions about Grafana AI

Yes, open source Grafana is free to self-host. Grafana Cloud free tier includes 50GB metrics and logs. Pro $299/month.

Editorial Verdict

Should you use Grafana AI?

Grafana is the essential open source observability dashboarding platform for engineering teams wanting unified visualisation across any monitoring source, with ML anomaly detection in Grafana Cloud.

Last verified July 24, 2026.

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