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Distributed Tracing ToolsUnclaimed

Odigos

Automatically capture distributed traces from running applications without code changes using eBPF instrumentation

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Also known as
odigos

What is Odigos?

An observability platform that instantly traces applications in Kubernetes and cloud environments using eBPF technology, without requiring code modifications. It captures distributed traces and exports them in OpenTelemetry format for integration with standard observability tools.

Independently observed

Odigos pricing

Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.

Pricing as of verify at live pricing ↗Independently observed
HybridFree tier14-day trial

Free open source or custom enterprise pricing. 14-day free enterprise trial.

Open Source

Free
Free

Free and open source Apache 2.0 licensed solution

  • Zero-code OpenTelemetry tracing
  • Collector sampling actions
  • Instrumentation actions
  • Kubernetes tracing
  • Linux VM and cloud VM tracing
  • Linux bare metal tracing
  • Go, Java, Python, Node.js support
  • Community support

Enterprise

Contact sales
Contact sales

Production-grade platform with premium features

  • All Open Source features
  • Low-overhead eBPF depth capture
  • Multi-cluster distributed tracing
  • Multi-cluster administration
  • .NET, PHP, Ruby support
  • Database extended distributed tracing
  • 24/7 premium support

What Odigos does

The capabilities that matter for distributed tracing tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Core
Trace role
SaaS platform
Standards
OpenTelemetry support
OTel-native
Multi-protocol (Jaeger + Zipkin + OTLP)
-
Query
Trace search / filter by attributes
✓
Service dependency graph
✓
High-cardinality attribute exploration
-
Sampling
Tail-based / dynamic sampling
-
Instrumentation
Auto-instrumentation
Agent-based
Correlation
Correlate traces with metrics/logs
✓
Deployment
Hosting
Self-hosted only
Architecture
Storage backend
-
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Web
Deployment
  • Cloud / SaaS
  • Self-hosted

Integrations (8)

Independently observed
observability
  • Datadog→
  • New Relic→
  • Honeycomb→
  • Grafana Cloud→
  • SigNoz→
tracing
  • Jaeger→
  • Tempo→
logging
  • Loki→

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Odigos FAQ

Common questions about Odigos, answered from independent, dated evidence.

What is Odigos?

Observability platform providing automatic instrumentation for metrics, traces, and logs across services and infrastructure. Enables end-to-end tracing without code edits or redeploys. It is indexed under Distributed Tracing Tools.

Source: https://odigos.io/

Is Odigos free to use?

Odigos is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.

Source: https://odigos.io/pricing

Is Odigos open source?

Yes. Odigos is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/odigos-io/odigos

Odigos alternatives

Other distributed tracing tools we track, ranked by the same independent score.

All Odigos alternatives, ranked →

Compare Odigos

Side by side against other distributed tracing tools, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Odigos, not the verdict.

Balanced composite 44 / 100
low · 47%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Development activity620.095.9✓
Security posture400.124.6✓
Capabilities580.063.6✓
Integrations270.072.0✓
Security score460.041.9✓
Stars670.031.7✓
Dependent projects00.060.0✓
Release cadence00.050.0-
Package downloads00.140.0-
Developer Q&A activity00.060.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d94mediumsource · 2026-10-15 · 65%

Adoption

AttributeValueEvidence
Github stars3,674highsource · 2026-10-15 · 90%
Dependent repos0highsource · 2026-08-26 · 85%

Content

AttributeValueEvidence
Faq3 itemsmediumsource · 2026-09-10 · 72%

Features

AttributeValueEvidence
CapabilitiesHosting: self · Trace role: platform · Service map: Yes · Otel support: native · Trace search: Yes · Metrics correlation: Yesmediumsource · 2026-10-15 · 60%

Integrations

AttributeValueEvidence
Count8mediumsource · 2026-10-15 · 60%

Language

AttributeValueEvidence
PrimaryGohighsource · 2026-10-15 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-10-15 · 95%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-10-15 · 60%
TransparentNomediumsource · 2026-10-15 · 60%
Modelfreemiummediumsource · 2026-10-15 · 60%
Price levellowmediumsource · 2026-10-15 · 60%

Release

AttributeValueEvidence
History20 itemsmediumsource · 2026-10-15 · 70%

Security

AttributeValueEvidence
Scorecard4.6highsource · 2026-10-15 · 90%
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fodigos-io%2Fodigos%2Finstrumentationrules&per_page=100 · Last 12m: 0highsource · 2026-08-26 · 90%
Soc2Yeslowsource · 2026-10-15 · 48%
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Last updated . Canonical URI: https://www.vioscale.ai/software/odigos.