Home/Compare/awesome-llm-security vs openlit

Comparison

awesome-llm-security vs openlit

Verdict

Pick awesome-llm-security if awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and; pick openlit if decision-critical facts for OpenLIT are centered around its unique features in LLM observability, GPU monitoring, and extensive integration capabilities.

Markdown twin · awesome-llm-security alternatives · openlit alternatives

GraphCanon updated today

awesome-llm-security logo

awesome-llm-security

corca-ai/awesome-llm-security

1.6kpushed Aug 20, 2025
vs
openlit logo

openlit

openlit/openlit

2.6kpushed Jul 10, 2026

Trust & integrity

Signalawesome-llm-securityopenlit
Maintenance
Slowing (325d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

awesome-llm-security
A curation of tools, documents and projects about LLM Security
openlit
A comprehensive open-source platform for AI Engineering with LLM Observability, Monitoring, and Management

Stars

awesome-llm-security
1.6k
openlit
2.6k

Forks

awesome-llm-security
294
openlit
321

Open issues

awesome-llm-security
161
openlit
57

Language

awesome-llm-security
-
openlit
TypeScript

Adopt for

awesome-llm-security
Awesome LLM Security is a curated list of resources related to the security aspects of large language models. It covers various attack methodologies, defenses, and platform security through papers, benchmarks, tools, and
openlit
Decision-critical facts for OpenLIT are centered around its unique features in LLM observability, GPU monitoring, and extensive integration capabilities.

Persona

awesome-llm-security
-
openlit
-

Runtime

awesome-llm-security
-
openlit
-

License

awesome-llm-security
-
openlit
Apache-2.0

Last pushed

awesome-llm-security
Aug 20, 2025
openlit
Jul 10, 2026

Categories

awesome-llm-security
Evaluation & Observability
openlit
Inference & Serving, Evaluation & Observability

Trust and health

Maintenance

awesome-llm-security
Slowing (36%)
openlit
Very active (96%)

Days since push

awesome-llm-security
325d
openlit
1d

Open issues (now)

awesome-llm-security
161
openlit
57

Full report

awesome-llm-security
Trust report

Choose awesome-llm-security if…

  • Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided)..
  • Tags unique to awesome-llm-security: llm, awesome-list, security.
  • When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.

When NOT to use awesome-llm-security

  • When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs.
  • If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.

Choose openlit if…

  • Tags unique to openlit: llmops, gpu-monitoring, monitoring-tool, ai-observability.
  • Also covers Inference & Serving.
  • openlit ships Docker support for self-hosted deployment.
  • When you need comprehensive observability features native to OpenTelemetry, allowing seamless trace and metric management with an out-of-the-box solution.

When NOT to use openlit

  • If your project strictly requires a proprietary tool or if you have specific requirements that are not covered by OpenLIT's integrations, such as unique vector databases not yet supported.
  • When the team lacks the expertise in TypeScript or Python SDK to efficiently manage and implement observability into their current workflows with OpenLIT.

Explore

Sources

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

GitHub stars on cards: awesome-llm-security 1.6k · openlit 2.6k (synced Jul 11, 2026).

Common questions

What is the difference between awesome-llm-security and openlit?
awesome-llm-security: A curation of tools, documents and projects about LLM Security. openlit: A comprehensive open-source platform for AI Engineering with LLM Observability, Monitoring, and Management. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-llm-security over openlit?
Choose awesome-llm-security over openlit when Pricing: As an open-source project without defined pricing models, its use is generally free under the terms of its license (license details are not provided).; Tags unique to awesome-llm-security: llm, awesome-list, security; When you are specifically looking for detailed information on both white-box and black-box attacks targeted at Large Language Models (LLMs), which 'awesome-llm-security' comprehensively catalogs.
When should I choose openlit over awesome-llm-security?
Choose openlit over awesome-llm-security when Tags unique to openlit: llmops, gpu-monitoring, monitoring-tool, ai-observability; Also covers Inference & Serving; openlit ships Docker support for self-hosted deployment; When you need comprehensive observability features native to OpenTelemetry, allowing seamless trace and metric management with an out-of-the-box solution.
When should I avoid awesome-llm-security?
When your primary interest is in general software security or vulnerabilities unrelated to language models, since 'awesome-llm-security' zeroes in on attack vectors specifically for LLMs. If you are solely interested in tools and methods that are not publicly discussed or peer-reviewed; the repository focuses on documented approaches within reputable academic publications.
When should I avoid openlit?
If your project strictly requires a proprietary tool or if you have specific requirements that are not covered by OpenLIT's integrations, such as unique vector databases not yet supported. When the team lacks the expertise in TypeScript or Python SDK to efficiently manage and implement observability into their current workflows with OpenLIT.
Is awesome-llm-security or openlit more popular on GitHub?
openlit has more GitHub stars (2,587 vs 1,637). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-llm-security and openlit open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-llm-security or openlit?
GraphCanon lists graph-backed alternatives at awesome-llm-security alternatives and openlit alternatives (awesome-llm-security markdown twin, openlit 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, awesome-llm-security or openlit?
awesome-llm-security: Slowing. openlit: Very active. 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 awesome-llm-security and openlit?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-security trust report; openlit trust report.