Home/Compare/helicone vs langtrace

Comparison

helicone vs langtrace

Verdict

Pick helicone if helicone is an open-source platform for monitoring and evaluating large language models, offering tools for prompt engineering and management; 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 Sep 20, 2026

19views this month

helicone logo

helicone

Helicone/helicone

★ 6.2kpushed Sep 16, 2026
vs
langtrace logo

langtrace

Scale3-Labs/langtrace

★ 1.2kpushed Nov 17, 2025

Trust & integrity

Signalheliconelangtrace
Maintenance
Very active (1d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (306d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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

Tagline

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

Stars

helicone
6.2k
langtrace
1.2k

Forks

helicone
670
langtrace
127

Open issues

helicone
155
langtrace
2

Language

helicone
TypeScript
langtrace
TypeScript

Adopt for

helicone
Helicone is an open-source platform for monitoring and evaluating large language models, offering tools for prompt engineering and management.
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
Sep 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
1d
langtrace
306d

Open issues (now)

helicone
155
langtrace
2

Stars delta

helicone
+89 (30d)
langtrace
+4 (30d)

Open issues delta

helicone
-15 (30d)
langtrace
+1 (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, large-language-models.
  • When you need to monitor and evaluate the performance of large language models in real-time.

When NOT to use helicone

  • If your project requires proprietary or closed-source tools, as Helicone is open-source and can be self-hosted.
  • When you need a platform that does not require setting up an API key and modifying your codebase to integrate monitoring.
  • If you are looking for a solution that does not support a wide range of models through a single API, and you prefer platform-specific tools.
  • For users who do not want to manage their own infrastructure, as Helicone offers self-hosting options which require local setup and maintenance.

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.

Explore

Sources

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

GitHub stars on cards: helicone 6.2k · langtrace 1.2k (synced Sep 20, 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, large-language-models; When you need to monitor and evaluate the performance of large language models in real-time.
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?
If your project requires proprietary or closed-source tools, as Helicone is open-source and can be self-hosted. When you need a platform that does not require setting up an API key and modifying your codebase to integrate monitoring. If you are looking for a solution that does not support a wide range of models through a single API, and you prefer platform-specific tools. For users who do not want to manage their own infrastructure, as Helicone offers self-hosting options which require local setup and maintenance.
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 (6,162 vs 1,232). 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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