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Comparison

helicone vs langtrace

Verdict

Pick helicone if helicone is an open-source platform for monitoring and evaluating language models with features specifically designed to facilitate integration and offer detailed observability; pick langtrace if langtrace stands out as an open-source observability solution for large language models, offering real-time tracing and evaluation capabilities through the Open Telemetry framework.

Markdown twin · helicone alternatives · langtrace alternatives

GraphCanon updated today

helicone logo

helicone

Helicone/helicone

★ 6.1kpushed Aug 16, 2026
vs
langtrace logo

langtrace

Scale3-Labs/langtrace

★ 1.2kpushed Nov 17, 2025

Trust & integrity

Signalheliconelangtrace
Maintenance
Very active (0d since push)
As of 3d · github_public_v1
Slowing (276d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 3d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
helicone trust reportlangtrace trust reportTrust methodology

Tagline

helicone
Open source LLM observability platform
langtrace
Open Telemetry based observability tool for LLM applications

Stars

helicone
6.1k
langtrace
1.2k

Forks

helicone
654
langtrace
126

Open issues

helicone
170
langtrace
1

Language

helicone
TypeScript
langtrace
TypeScript

Adopt for

helicone
Helicone is an open-source platform for monitoring and evaluating language models with features specifically designed to facilitate integration and offer detailed observability.
langtrace
Langtrace stands out as an open-source observability solution for large language models, offering real-time tracing and evaluation capabilities through the Open Telemetry framework.

Persona

helicone
-
langtrace
-

Runtime

helicone
-
langtrace
-

License

helicone
Apache-2.0
langtrace
AGPL-3.0

Last pushed

helicone
Aug 16, 2026
langtrace
Nov 17, 2025

Categories

helicone
Evaluation & Observability
langtrace
Evaluation & Observability

Trust and health

Maintenance

helicone
Very active (96%)
langtrace
Slowing (36%)

Days since push

helicone
0d
langtrace
276d

Open issues (now)

helicone
170
langtrace
1

Stars delta

helicone
+110 (30d)
langtrace
+12 (30d)

Open issues delta

helicone
+41 (30d)
langtrace
0 (30d)

Full report

helicone
Trust report
langtrace
Trust report

Typed relationship

helicone alternative langtraceHelicone provides tracking and evaluation of AI agents, a space that overlaps significantly with what Langtrace offers for LLM observability.

Choose helicone if…

  • License: helicone is Apache-2.0, langtrace is AGPL-3.0.
  • Helicone provides tracking and evaluation of AI agents, a space that overlaps significantly with what Langtrace offers for LLM observability.
  • Tags unique to helicone: agent-monitoring, analytics, evaluation, llm-cost.
  • Use Helicone when you need an open-source solution that can monitor a wide range of LLMs, including more than 100 available through one API.

When NOT to use helicone

  • Do not use Helicone if you have strict data privacy needs that are better served by fully localized or proprietary observability solutions.
  • Avoid using this platform if your project specifically requires real-time integration with a specific model outside of Helicone's extensive but curated list.
GitHubDetails

Choose langtrace if…

  • License: langtrace is AGPL-3.0, helicone is Apache-2.0.
  • Helicone provides tracking and evaluation of AI agents, a space that overlaps significantly with what Langtrace offers for LLM observability.
  • Tags unique to langtrace: ai, datasets, evaluations, llm.
  • When developing or using LLMs and frameworks where end-to-end visibility into every aspect of model performance is crucial.

When NOT to use langtrace

  • For teams that do not require real-time tracing and evaluations, as implementing Langtrace might introduce unnecessary overhead.
  • When working with non-LLM AI applications or other machine learning models, Langtrace’s specialized features for large language models may not provide much value.
GitHubDetails

Explore

helicone trust report →langtrace trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: helicone 6.1k · langtrace 1.2k (synced Aug 17, 2026).

Common questions

What is the difference between helicone and langtrace?
helicone: Open source LLM observability platform. langtrace: Open Telemetry based observability tool for LLM applications. See the comparison table for live GitHub stats and shared categories.
When should I choose helicone over langtrace?
Choose helicone over langtrace when License: helicone is Apache-2.0, langtrace is AGPL-3.0; Helicone provides tracking and evaluation of AI agents, a space that overlaps significantly with what Langtrace offers for LLM observability; Tags unique to helicone: agent-monitoring, analytics, evaluation, llm-cost; Use Helicone when you need an open-source solution that can monitor a wide range of LLMs, including more than 100 available through one API.
When should I choose langtrace over helicone?
Choose langtrace over helicone when License: langtrace is AGPL-3.0, helicone is Apache-2.0; Helicone provides tracking and evaluation of AI agents, a space that overlaps significantly with what Langtrace offers for LLM observability; Tags unique to langtrace: ai, datasets, evaluations, llm; When developing or using LLMs and frameworks where end-to-end visibility into every aspect of model performance is crucial.
When should I avoid helicone?
Do not use Helicone if you have strict data privacy needs that are better served by fully localized or proprietary observability solutions. Avoid using this platform if your project specifically requires real-time integration with a specific model outside of Helicone's extensive but curated list.
When should I avoid langtrace?
For teams that do not require real-time tracing and evaluations, as implementing Langtrace might introduce unnecessary overhead. When working with non-LLM AI applications or other machine learning models, Langtrace’s specialized features for large language models may not provide much value.
Is helicone or langtrace more popular on GitHub?
helicone has more GitHub stars (6,073 vs 1,228). Stars measure visibility, not whether either tool fits your constraints.
Are helicone and langtrace open source?
Yes - both are open-source projects on GitHub (helicone: Apache-2.0, langtrace: AGPL-3.0).
Where can I find alternatives to helicone or langtrace?
GraphCanon lists graph-backed alternatives at helicone alternatives and langtrace alternatives (helicone markdown twin, langtrace markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, helicone or langtrace?
helicone: Very active. langtrace: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for helicone and langtrace?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: helicone trust report; langtrace trust report.

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